diff --git a/.gitignore b/.gitignore index e2325cfa68..c374e6c09f 100644 --- a/.gitignore +++ b/.gitignore @@ -4,4 +4,4 @@ Rapp.history *~ .Rhistory .RData -Makefile +Makefile \ No newline at end of file diff --git a/NEWS b/NEWS index b3fb602f87..568e9957b6 100644 --- a/NEWS +++ b/NEWS @@ -1,3 +1,7 @@ +0.5.6 -- 25 October 2014. + +Lines: fix styles and enhanced conversion. + 0.5.5 -- 24 October 2014. Support category histograms (with factors). diff --git a/R/ggplotly.R b/R/ggplotly.R index d9fa054f3c..ba82e28162 100644 --- a/R/ggplotly.R +++ b/R/ggplotly.R @@ -11,30 +11,29 @@ marker.defaults <- list(alpha=1, sizeref=default.marker.sizeref, sizemode="area", colour="black") -line.defaults <- - list(linetype="solid", - colour="black", - size=2, - direction="linear") + +line.defaults <- list(linetype="solid", + colour="black", + size=1, + direction="linear") # Convert R lty line type codes to plotly "dash" codes. lty2dash <- c(numeric.lty, named.lty, coded.lty) -aesConverters <- - list(linetype=function(lty){ - lty2dash[as.character(lty)] - }, - colour=function(col){ - toRGB(col) - }, - size=identity, - sizeref=identity, - sizemode=identity, - alpha=identity, - shape=function(pch){ - pch2symbol[as.character(pch)] - }, - direction=identity) +aesConverters <- list(linetype=function(lty) { + lty2dash[as.character(lty)] + }, + colour=function(col) { + toRGB(col) + }, + size=identity, + sizeref=identity, + sizemode=identity, + alpha=identity, + shape=function(pch) { + pch2symbol[as.character(pch)] + }, + direction=identity) markLegends <- ## NOTE: Do we also want to split on size? diff --git a/R/marker_conversion.R b/R/marker_conversion.R index 1ce31f2e54..7b85ab7f5d 100644 --- a/R/marker_conversion.R +++ b/R/marker_conversion.R @@ -5,7 +5,7 @@ ##' @export ##' @return named list. ##' @author Toby Dylan Hocking -paramORdefault <- function(params, aesVec, defaults){ +paramORdefault <- function(params, aesVec, defaults) { marker <- list() for(ggplot.name in names(aesVec)){ plotly.name <- aesVec[[ggplot.name]] @@ -13,6 +13,9 @@ paramORdefault <- function(params, aesVec, defaults){ if(is.null(ggplot.value)){ ggplot.value <- defaults[[ggplot.name]] } + if(plotly.name=="width"){ + ggplot.value <- ggplot.value * 2 + } if(is.null(ggplot.value)){ stop("no ggplot default for ", ggplot.name) } diff --git a/R/one_to_one_corr.R b/R/one_to_one_corr.R index 5fcab7eed7..30499350d0 100644 --- a/R/one_to_one_corr.R +++ b/R/one_to_one_corr.R @@ -50,7 +50,8 @@ aes2marker <- c(alpha="opacity", shape="symbol") # Convert numeric line type. -numeric.lty <- c("1"="solid", +numeric.lty <- c("0"="none", + "1"="solid", "2"="dash", "3"="dot", "4"="dashdot", @@ -58,13 +59,13 @@ numeric.lty <- c("1"="solid", "6"="longdashdot") # Convert named line type. -named.lty <- c("solid"="solid", - "blank"="none", +named.lty <- c("blank"="none", + "solid"="solid", "dashed"="dash", - "dotted"="dotted", + "dotted"="dot", "dotdash"="dashdot", "longdash"="longdash", - "twodash"="dash") + "twodash"="longdashdot") # Convert coded line type. coded.lty <- c("22"="dash", diff --git a/R/trace_generation.R b/R/trace_generation.R index 7c7064b369..9abb5b7f7f 100644 --- a/R/trace_generation.R +++ b/R/trace_generation.R @@ -359,7 +359,7 @@ group2NA <- function(g, geom){ # Convert basic geoms to traces. geom2trace <- list( - path=function(data, params){ + path=function(data, params) { list(x=data$x, y=data$y, name=params$name, @@ -487,13 +487,13 @@ geom2trace <- list( L }, density=function(data, params) { - L <- list(x=data$x, - name=params$name, - text=data$text, - marker=list(color=toRGB(params$fill)), - type="histogram", - autobinx=TRUE, - histnorm="probability density") + list(x=data$x, + name=params$name, + text=data$text, + marker=list(color=toRGB(params$fill)), + type="histogram", + autobinx=TRUE, + histnorm="probability density") }, density2d=function(data, params) { L <- list(x=data$x, diff --git a/tests/cookbook-test-suite/axes.R b/tests/cookbook-test-suite/axes.R new file mode 100644 index 0000000000..2414364c37 --- /dev/null +++ b/tests/cookbook-test-suite/axes.R @@ -0,0 +1,180 @@ +bp <- ggplot(PlantGrowth, aes(x=group, y=weight)) + geom_boxplot() + +bp1 <- bp + coord_flip() +save_outputs(bp1, "axes/coord flip", file_prefix="") + +# Manually set the order of a discrete-valued axis +bp2 <- bp + scale_x_discrete(limits=c("trt1","trt2","ctrl")) +save_outputs(bp2, "axes/discrete valued axes", file_prefix="") + +# Reverse the order of a discrete-valued axis +# Get the levels of the factor +flevels <- levels(PlantGrowth$group) +# "ctrl" "trt1" "trt2" +# Reverse the order +flevels <- rev(flevels) +# "trt2" "trt1" "ctrl" +bp3 <- bp + scale_x_discrete(limits=flevels) +save_outputs(bp3, "axes/reversed ordered axes - 1", file_prefix="") + +# Or it can be done in one line: +bp4 <- bp + scale_x_discrete(limits = rev(levels(PlantGrowth$group)) ) +save_outputs(bp4, "axes/reversed ordered axes - 2", file_prefix="") + +bp5 <- bp + scale_x_discrete(breaks=c("ctrl", "trt1", "trt2"), labels=c("Control", "Treat 1", "Treat 2")) +save_outputs(bp5, "axes/setting tick mark labels", file_prefix="") + +# Hide x tick marks, labels, and grid lines +bp6 <- bp + scale_x_discrete(breaks=NULL) +save_outputs(bp6, "axes/hidden tick marks labels gridline", file_prefix="") + +# Hide all tick marks and labels (on X axis), but keep the gridlines +bp7 <- bp + theme(axis.ticks = element_blank(), axis.text.x = element_blank()) +save_outputs(bp7, "axes/hidden tick marks and labels", file_prefix="") + +# Set the range of a continuous-valued axis +# These are equivalent +bp8 <- bp + ylim(0,8) +save_outputs(bp8, "axes/set range of continuous-valued axis - 1", file_prefix="") +bp9 <- bp + scale_y_continuous(limits=c(0,8)) +save_outputs(bp9, "axes/set range of continuous-valued axis - 2", file_prefix="") + +# These two do the same thing; all data points outside the graphing range are dropped, +# resulting in a misleading box plot +bp10 <- bp + ylim(5, 7.5) +save_outputs(bp10, "axes/misleading range", file_prefix="") +bp + scale_y_continuous(limits=c(5, 7.5)) + +# Using coord_cartesian "zooms" into the area +bp11 <- bp + coord_cartesian(ylim=c(5, 7.5)) +save_outputs(bp11, "axes/coord_cartesian", file_prefix="") + +# Specify tick marks directly +bp12 <- bp + coord_cartesian(ylim=c(5, 7.5)) + + scale_y_continuous(breaks=seq(0, 10, 0.25)) # Ticks from 0-10, every .25 +save_outputs(bp12, "axes/specify tick marks directly", file_prefix="") + +# Reverse order of a continuous-valued axis +bp13 <- bp + scale_y_reverse() +save_outputs(bp13, "axes/reverse y scale", file_prefix="") + +# Setting the tick marks on an axis +# This will show tick marks on every 0.25 from 1 to 10 +# The scale will show only the ones that are within range (3.50-6.25 in this case) +bp14 <- bp + scale_y_continuous(breaks=seq(1,10,1/4)) +save_outputs(bp14, "axes/manual tick marks", file_prefix="") + +# The breaks can be spaced unevenly +bp15 <- bp + scale_y_continuous(breaks=c(4, 4.25, 4.5, 5, 6,8)) +save_outputs(bp15, "axes/uneven tick marks", file_prefix="") + +# Suppress ticks and gridlines +bp16 <- bp + scale_y_continuous(breaks=NULL) +save_outputs(bp16, "axes/suppress y ticks labels and gridlines", file_prefix="") + +# Hide tick marks and labels (on Y axis), but keep the gridlines +bp17 <- bp + theme(axis.ticks = element_blank(), axis.text.y = element_blank()) +save_outputs(bp17, "axes/suppress y ticks and labels", file_prefix="") + +# Create some noisy exponentially-distributed data +xval = c(0.26932812,-0.05341404,0.36977717,0.91504712,0.46329006,0.37956526, 0.93290644,0.75558976,0.67633497,0.48655293,0.79478162,0.55109982, 0.51681398,0.81073512,0.49406579,0.93919618,0.90472008,0.98732256, 0.94379876,0.95790909,0.54614241,1.13356941,1.13299144,1.18159277, 1.16428407,1.22955005,1.21030897,1.23314811,1.53822718,1.53674330, 1.80020468,1.40774011,1.74573515,1.26651625,2.06607711,1.50237263, 1.38480531,1.83625381,2.35275649,1.99004291,2.80396442,2.20863240, 2.42998876,2.12801180,2.26290348,2.38185989,2.14936036,2.66587947, 2.64586596,2.44240603,2.39266452,3.11831215,2.70258927,2.65529134, 2.65634690,2.95984290,2.71058076,2.87919480,3.07739358,2.66841935, 3.10792706,3.17134285,3.98070271,3.55497279,3.36831009,3.31390892, 3.32753965,2.86981968,3.22741000,3.78806438,3.74434536,3.56928928, 3.83783177,3.24485807,4.05766233,4.13619455,4.26888054,3.47546258, 3.93045819,3.77620080,4.66676431,3.88059240,4.54694485,4.03915767, 4.25556093,4.39251819,4.42692029,4.23262929,4.44890758,4.84981161, 4.51104252,4.33004508,5.06350705,4.89714069,4.21599077,4.55457578, 5.04044393,4.89111297,5.03105215,4.64113164) +yval = c(1.177512e+01,7.303113e+00,6.109053e+00,2.545169e+01,3.366341e+01,1.042255e+01,2.703767e+01,1.178223e+01,4.495965e+01,1.614609e+01,4.003015e+01,1.038442e+02,4.024992e+01,4.163942e+01,9.108197e+01,3.116299e+01,2.558871e+02,7.482977e+01,2.502789e+01,5.923683e+01,3.967814e+01,9.207318e+01,1.298618e+02,1.138197e+02,1.804303e+02,3.363494e+02,3.197204e+02,4.968737e+02,1.783433e+02,4.765546e+02,4.486885e+02,6.736079e+02,4.289288e+02,3.433946e+02,5.658634e+02,4.667053e+02,5.257803e+02,3.401038e+02,6.131335e+02,5.928647e+02,7.838524e+02,7.987915e+02,3.348470e+03,1.704767e+03,1.264169e+03,2.690011e+03,2.738240e+03,1.663862e+03,5.377442e+03,3.883820e+03,6.673624e+03,1.857346e+03,6.683962e+03,1.213027e+03,1.742885e+03,2.146094e+03,4.597174e+03,4.357154e+03,8.413851e+03,8.194194e+03,7.076611e+03,1.554628e+04,6.984783e+03,1.027392e+04,1.158795e+04,9.193111e+03,3.226748e+04,3.955445e+04,2.978953e+04,1.926420e+04,7.610544e+04,2.129694e+04,1.438764e+04,7.908876e+04,2.676003e+04,1.791758e+05,3.978871e+04,9.411120e+04,4.486940e+04,1.270526e+05,1.587331e+05,1.616173e+05,3.351522e+05,3.001782e+05,2.527824e+05,2.745851e+05,3.446376e+05,1.544497e+05,1.318314e+05,8.334336e+05,2.464391e+05,8.694818e+05,2.747323e+05,6.373497e+05,2.918690e+05,9.505114e+05,7.835278e+05,3.775567e+05,1.795523e+06,1.568159e+06) + +dat <- data.frame(xval = xval, yval = yval) + +# A scatterplot with regular (linear) axis scaling +sp <- ggplot(dat, aes(xval, yval)) + geom_point() +save_outputs(sp, "axes/linear axes", file_prefix="") + +# log2 scaling of the y axis (with visually-equal spacing) +library(scales) # Need the scales package +sp1 <- sp + scale_y_continuous(trans=log2_trans()) +save_outputs(sp1, "axes/ln y axes with visual-equal spacing", file_prefix="") + +# log2 coordinate transformation (with visually-diminishing spacing) +sp2 <- sp + coord_trans(y="log2") +save_outputs(sp2, "axes/ln y axes with visually diminishing spacing", file_prefix="") + +sp3 <- sp + scale_y_continuous(trans = log2_trans(), + breaks = trans_breaks("log2", function(x) 2^x), + labels = trans_format("log2", math_format(2^.x))) +save_outputs(sp3, "axes/ln y axes with exponent tick marks", file_prefix="") + +dat10 <- data.frame(xval = xval, yval = yval) + +sp10 <- ggplot(dat10, aes(xval, yval)) + geom_point() + +# log10 +sp101 <- sp10 + scale_y_log10() +save_outputs(sp101, "axes/log_10 y axes", file_prefix="") + +# log10 with exponents on tick labels +sp102 <- sp10 + scale_y_log10(breaks = trans_breaks("log10", function(x) 10^x), + labels = trans_format("log10", math_format(10^.x))) +save_outputs(sp102, "axes/log_10 y axes with exponent tick marks", file_prefix="") + +# Data where x ranges from 0-10, y ranges from 0-30 +set.seed(202) +dat <- data.frame(xval = runif(40,0,10), yval = runif(40,0,30)) +sp <- ggplot(dat, aes(xval, yval)) + geom_point() + +# Force equal scaling +sp4 <- sp + coord_fixed() +save_outputs(sp4, "axes/forced equal spacing", file_prefix="") + +# Equal scaling, with each 1 on the x axis the same length as y on x axis +sp5 <- sp + coord_fixed(ratio=1/3) +save_outputs(sp5, "axes/forced equal scaling", file_prefix="") + +bp10 <- bp + theme(axis.title.x = element_blank()) + # Remove x-axis label + ylab("Weight (Kg)") # Set y-axis label +save_outputs(bp10, "axes/axes labels", file_prefix="") + +# Also possible to set the axis label with the scale +# Note that vertical space is still reserved for x"s label +bp11 <- bp + scale_x_discrete(name="") + + scale_y_continuous(name="Weight (Kg)") +save_outputs(bp11, "axes/axes labels set with scale", file_prefix="") + +# Change font options: +# X-axis label: bold, red, and 20 points +# X-axis tick marks: rotate 90 degrees CCW, move to the left a bit (using vjust, +# since the labels are rotated), and 16 points +bp12 <- bp + theme(axis.title.x = element_text(face="bold", colour="#990000", size=20), + axis.text.x = element_text(angle=90, vjust=0.5, size=16)) +save_outputs(bp12, "axes/axes labels with formatting", file_prefix="") + +# Label formatters +library(scales) # Need the scales package +bp13 <- bp + scale_y_continuous(labels=percent) + + scale_x_discrete(labels=abbreviate) # In this particular case, it has no effect +save_outputs(bp13, "axes/axes labels with percent labels", file_prefix="") + +# Self-defined formatting function for times. +timeHMS_formatter <- function(x) { + h <- floor(x/60) + m <- floor(x %% 60) + s <- round(60*(x %% 1)) # Round to nearest second + lab <- sprintf("%02d:%02d:%02d", h, m, s) # Format the strings as HH:MM:SS + lab <- gsub("^00:", "", lab) # Remove leading 00: if present + lab <- gsub("^0", "", lab) # Remove leading 0 if present +} + +bp14 <- bp + scale_y_continuous(label=timeHMS_formatter) +save_outputs(bp14, "axes/axes labels with custom time labels", file_prefix="") + +# Hide all the gridlines +bp15 <- bp + theme(panel.grid.minor=element_blank(), panel.grid.major=element_blank()) +save_outputs(bp15, "axes/hidden gridlines", file_prefix="") + +# Hide just the minor gridlines +bp16 <- bp + theme(panel.grid.minor=element_blank()) +save_outputs(bp16, "axes/hidden minor gridlines", file_prefix="") + +# Hide all the horizontal gridlines +bp17 <- bp + theme(panel.grid.minor.x=element_blank(), panel.grid.major.x=element_blank()) +save_outputs(bp17, "axes/hidden horizontal gridlines", file_prefix="") + +# Hide all the vertical gridlines +bp18 <- bp + theme(panel.grid.minor.y=element_blank(), panel.grid.major.y=element_blank()) +save_outputs(bp18, "axes/hidden vertical gridlines", file_prefix="") diff --git a/tests/cookbook-test-suite/axes/axes_labels-ggplot2.png b/tests/cookbook-test-suite/axes/axes_labels-ggplot2.png new file mode 100644 index 0000000000..0489cab1d2 Binary files /dev/null and b/tests/cookbook-test-suite/axes/axes_labels-ggplot2.png differ diff --git a/tests/cookbook-test-suite/axes/axes_labels-plotly.png b/tests/cookbook-test-suite/axes/axes_labels-plotly.png new file mode 100644 index 0000000000..7e1293109a Binary files /dev/null and b/tests/cookbook-test-suite/axes/axes_labels-plotly.png differ diff --git a/tests/cookbook-test-suite/axes/axes_labels.json b/tests/cookbook-test-suite/axes/axes_labels.json new file mode 100644 index 0000000000..775591c2c9 --- /dev/null +++ b/tests/cookbook-test-suite/axes/axes_labels.json @@ -0,0 +1,100 @@ +{ + "data": [ + { + "y": [ + 4.17, + 5.58, + 5.18, + 6.11, + 4.5, + 4.61, + 5.17, + 4.53, + 5.33, + 5.14 + ], + "name": "ctrl", + "xaxis": "x1", + "yaxis": "y1", + "type": "box" + }, + { + "y": [ + 4.81, + 4.17, + 4.41, + 3.59, + 5.87, + 3.83, + 6.03, + 4.89, + 4.32, + 4.69 + ], + "name": "trt1", + "xaxis": "x1", + "yaxis": "y1", + "type": "box" + }, + { + "y": [ + 6.31, + 5.12, + 5.54, + 5.5, + 5.37, + 5.29, + 4.92, + 6.15, + 5.8, + 5.26 + ], + "name": "trt2", + "xaxis": "x1", + "yaxis": "y1", + "type": "box" + } + ], + "layout": { + "titlefont": { + "family": "" + }, + "showlegend": true, + "xaxis": { + "title": "group", + "type": "category", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "yaxis": { + "title": "Weight (Kg)", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "legend": { + "x": 100, + "y": 0.5, + "font": { + "family": "" + }, + "bgcolor": "rgb(255,255,255)", + "bordercolor": "transparent" + }, + "margin": { + "r": 10 + }, + "paper_bgcolor": "rgb(255,255,255)", + "plot_bgcolor": "rgb(229,229,229)" + } +} diff --git a/tests/cookbook-test-suite/axes/axes_labels.url b/tests/cookbook-test-suite/axes/axes_labels.url new file mode 100644 index 0000000000..f58774d6e5 --- /dev/null +++ b/tests/cookbook-test-suite/axes/axes_labels.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/617 diff --git a/tests/cookbook-test-suite/axes/axes_labels_set_with_scale-ggplot2.png b/tests/cookbook-test-suite/axes/axes_labels_set_with_scale-ggplot2.png new file mode 100644 index 0000000000..fdc498d7db Binary files /dev/null and b/tests/cookbook-test-suite/axes/axes_labels_set_with_scale-ggplot2.png differ diff --git a/tests/cookbook-test-suite/axes/axes_labels_set_with_scale-plotly.png b/tests/cookbook-test-suite/axes/axes_labels_set_with_scale-plotly.png new file mode 100644 index 0000000000..8cf61cd789 Binary files /dev/null and b/tests/cookbook-test-suite/axes/axes_labels_set_with_scale-plotly.png differ diff --git a/tests/cookbook-test-suite/axes/axes_labels_set_with_scale.json b/tests/cookbook-test-suite/axes/axes_labels_set_with_scale.json new file mode 100644 index 0000000000..3fa5111c6b --- /dev/null +++ b/tests/cookbook-test-suite/axes/axes_labels_set_with_scale.json @@ -0,0 +1,100 @@ +{ + "data": [ + { + "y": [ + 4.17, + 5.58, + 5.18, + 6.11, + 4.5, + 4.61, + 5.17, + 4.53, + 5.33, + 5.14 + ], + "name": "ctrl", + "xaxis": "x1", + "yaxis": "y1", + "type": "box" + }, + { + "y": [ + 4.81, + 4.17, + 4.41, + 3.59, + 5.87, + 3.83, + 6.03, + 4.89, + 4.32, + 4.69 + ], + "name": "trt1", + "xaxis": "x1", + "yaxis": "y1", + "type": "box" + }, + { + "y": [ + 6.31, + 5.12, + 5.54, + 5.5, + 5.37, + 5.29, + 4.92, + 6.15, + 5.8, + 5.26 + ], + "name": "trt2", + "xaxis": 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a/tests/cookbook-test-suite/bars-and-lines/multi-var-grouped-bar-reversed-vars.json b/tests/cookbook-test-suite/bars-and-lines/multi-var-grouped-bar-reversed-vars.json new file mode 100644 index 0000000000..d973d48d99 --- /dev/null +++ b/tests/cookbook-test-suite/bars-and-lines/multi-var-grouped-bar-reversed-vars.json @@ -0,0 +1,89 @@ +{ + "data": [ + { + "x": [ + "Female", + "Male" + ], + "y": [ + 13.53, + 16.24 + ], + "name": "Lunch", + "marker": { + "color": "rgb(248,118,109)", + "line": { + "color": "rgb(0,0,0)", + "width": 1 + } + }, + "xaxis": "x1", + "yaxis": "y1", + "type": "bar" + }, + { + "x": [ + "Female", + "Male" + ], + "y": [ + 16.81, + 17.42 + ], + "name": "Dinner", + "marker": { + "color": "rgb(0,191,196)", + "line": { + "color": "rgb(0,0,0)", + "width": 1 + } + }, + "xaxis": "x1", + "yaxis": "y1", + "type": "bar" + } + ], + "layout": { + "titlefont": { + "family": "" + }, + "showlegend": true, + "xaxis": { + "title": "sex", + "type": "category", + "showgrid": true, + 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b/tests/cookbook-test-suite/bars-and-lines/multi-var-grouped-bar-reversed-vars.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/644 diff --git a/tests/cookbook-test-suite/bars-and-lines/multi-var-grouped-bar.json b/tests/cookbook-test-suite/bars-and-lines/multi-var-grouped-bar.json new file mode 100644 index 0000000000..4d895136cc --- /dev/null +++ b/tests/cookbook-test-suite/bars-and-lines/multi-var-grouped-bar.json @@ -0,0 +1,81 @@ +{ + "data": [ + { + "x": [ + "Lunch", + "Dinner" + ], + "y": [ + 13.53, + 16.81 + ], + "name": "Female", + "marker": { + "color": "rgb(248,118,109)" + }, + "xaxis": "x1", + "yaxis": "y1", + "type": "bar" + }, + { + "x": [ + "Lunch", + "Dinner" + ], + "y": [ + 16.24, + 17.42 + ], + "name": "Male", + "marker": { + "color": "rgb(0,191,196)" + }, + "xaxis": "x1", + "yaxis": "y1", + "type": "bar" + } + ], + "layout": { + "titlefont": { + "family": "" + }, + "showlegend": true, + "xaxis": { + "title": "time", + "type": "category", + "showgrid": true, + "zeroline": 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--git a/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar-ggplot2.png b/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar-ggplot2.png new file mode 100644 index 0000000000..fa732afe2a Binary files /dev/null and b/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar-ggplot2.png differ diff --git a/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar-plotly.png b/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar-plotly.png new file mode 100644 index 0000000000..b290a20e32 Binary files /dev/null and b/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar-plotly.png differ diff --git a/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar.json b/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar.json new file mode 100644 index 0000000000..8d4d6cc9ed --- /dev/null +++ b/tests/cookbook-test-suite/bars-and-lines/multi-var-stacked-bar.json @@ -0,0 +1,81 @@ +{ + "data": [ + { + "x": [ + "Lunch", + "Dinner" + ], + "y": [ + 13.53, + 16.81 + ], + "name": "Female", + "marker": { + "color": "rgb(248,118,109)" + }, + "xaxis": "x1", + "yaxis": "y1", + "type": "bar" + }, + { + "x": [ + "Lunch", + "Dinner" + ], + "y": [ + 16.24, + 17.42 + ], + "name": "Male", + "marker": { + "color": "rgb(0,191,196)" + }, + "xaxis": "x1", + "yaxis": "y1", + "type": "bar" + } + ], + "layout": { + "titlefont": { + "family": "" + }, + "showlegend": true, + "xaxis": { + "title": "time", + "type": "category", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "yaxis": { + "title": "total_bill", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "legend": { + "x": 100, + "y": 0.5, + "font": { + "family": "" + }, + "bgcolor": 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geom_bar(stat="identity") +save_outputs(g, "bars-and-lines/basic-bar", file_prefix="") + +# Map the time of day to different fill colors. These both have the same result. +g <- ggplot(data=df, aes(x=time, y=total_bill, fill=time)) + geom_bar(stat="identity") +save_outputs(g, "bars-and-lines/basic-bar-fill-colors-1", file_prefix="") +g <- ggplot(data=df, aes(x=time, y=total_bill)) + geom_bar(aes(fill=time), stat="identity") +save_outputs(g, "bars-and-lines/basic-bar-fill-colors-2", file_prefix="") + +# Add a black outline +g <- ggplot(data=df, aes(x=time, y=total_bill, fill=time)) + geom_bar(colour="black", stat="identity") +save_outputs(g, "bars-and-lines/basic-bar-fill-colors-black-outline", file_prefix="") + +# No legend, since the information is redundant +g <- ggplot(data=df, aes(x=time, y=total_bill, fill=time)) + + geom_bar(colour="black", stat="identity") + + guides(fill=FALSE) +save_outputs(g, "bars-and-lines/basic-bar-fill-colors-black-outline-no-legend", file_prefix="") + +library(reshape2) +tips +# total_bill tip sex smoker day time size +# 16.99 1.01 Female No Sun Dinner 2 +# 10.34 1.66 Male No Sun Dinner 3 +# 21.01 3.50 Male No Sun Dinner 3 +# ... <244 total rows> ... +# 22.67 2.00 Male Yes Sat Dinner 2 +# 17.82 1.75 Male No Sat Dinner 2 +# 18.78 3.00 Female No Thur Dinner 2 + +# Bar graph of counts +g <- ggplot(data=tips, aes(x=day)) + geom_bar(stat="bin") +save_outputs(g, "bars-and-lines/bar-graph-of-counts", file_prefix="") + +# Equivalent to this, since stat="bin" is the default: +g <- ggplot(data=tips, aes(x=day)) + geom_bar() +save_outputs(g, "bars-and-lines/bar-graph-of-counts-2", file_prefix="") + +# Basic line graph. These both have the same result. +g <- ggplot(data=df, aes(x=time, y=total_bill, group=1)) + geom_line() +save_outputs(g, "bars-and-lines/basic-line", file_prefix="") +g <- ggplot(data=df, aes(x=time, y=total_bill)) + geom_line(aes(group=1)) +save_outputs(g, "bars-and-lines/basic-line-2", file_prefix="") + +# Add points +g <- ggplot(data=df, aes(x=time, y=total_bill, group=1)) + geom_line() + geom_point() +save_outputs(g, "bars-and-lines/basic-line-with-points", file_prefix="") + +# Change color of both line and points +# Change line type and point type, and use thicker line and larger points +# Change points to circles with white fill +g <- ggplot(data=df, aes(x=time, y=total_bill, group=1)) + + geom_line(colour="red", linetype="dotted", size=1.5) + + geom_point(colour="red", size=4, shape=21, fill="white") +save_outputs(g, "bars-and-lines/basic-dashed-line-with-colors", file_prefix="") + +# Change the y-range to go from 0 to the maximum value in the total_bill column, +# and change axis labels +g <- ggplot(data=df, aes(x=time, y=total_bill, group=1)) + geom_line() + geom_point() + + ylim(0, max(df$total_bill)) + + xlab("Time of day") + ylab("Total bill") + + ggtitle("Average bill for 2 people") +save_outputs(g, "bars-and-lines/basic-line-fully-styled", file_prefix="") + +df1 <- data.frame(sex = factor(c("Female","Female","Male","Male")), + time = factor(c("Lunch","Dinner","Lunch","Dinner"), levels=c("Lunch","Dinner")), + total_bill = c(13.53, 16.81, 16.24, 17.42)) +# sex time total_bill +# Female Lunch 13.53 +# Female Dinner 16.81 +# Male Lunch 16.24 +# Male Dinner 17.42 + +# Stacked bar graph -- this is probably not what you want +g <- ggplot(data=df1, aes(x=time, y=total_bill, fill=sex)) + geom_bar(stat="identity") +save_outputs(g, "bars-and-lines/multi-var-stacked-bar", file_prefix="") + +# Bar graph, time on x-axis, color fill grouped by sex -- use position_dodge() +g <- ggplot(data=df1, aes(x=time, y=total_bill, fill=sex)) + geom_bar(stat="identity", position=position_dodge()) +save_outputs(g, "bars-and-lines/multi-var-grouped-bar", file_prefix="") +g <- ggplot(data=df1, aes(x=time, y=total_bill, fill=sex)) + geom_bar(stat="identity", position=position_dodge(), colour="black") +save_outputs(g, "bars-and-lines/multi-var-grouped-bar-black-outline", file_prefix="") + +# Change colors +g <- ggplot(data=df1, aes(x=time, y=total_bill, fill=sex)) + geom_bar(stat="identity", position=position_dodge(), colour="black") + + scale_fill_manual(values=c("#999999", "#E69F00")) +save_outputs(g, "bars-and-lines/multi-var-grouped-bar-colored", file_prefix="") + +# Bar graph, time on x-axis, color fill grouped by sex -- use position_dodge() +g <- ggplot(data=df1, aes(x=sex, y=total_bill, fill=time)) + geom_bar(stat="identity", position=position_dodge(), colour="black") +save_outputs(g, "bars-and-lines/multi-var-grouped-bar-reversed-vars", file_prefix="") + +# Basic line graph with points +g <- ggplot(data=df1, aes(x=time, y=total_bill, group=sex)) + geom_line() + geom_point() +save_outputs(g, "bars-and-lines/basic-line-with-points", file_prefix="") + +# Map sex to color +g <- ggplot(data=df1, aes(x=time, y=total_bill, group=sex, colour=sex)) + geom_line() + geom_point() +save_outputs(g, "bars-and-lines/basic-line-with-mapped-colors", file_prefix="") + +# Map sex to different point shape, and use larger points +g <- ggplot(data=df1, aes(x=time, y=total_bill, group=sex, shape=sex)) + geom_line() + geom_point() +save_outputs(g, "bars-and-lines/basic-line-with-symbols", file_prefix="") + +# Use thicker lines and larger points, and hollow white-filled points +g <- ggplot(data=df1, aes(x=time, y=total_bill, group=sex, shape=sex)) + + geom_line(size=1.5) + + geom_point(size=3, fill="white") + + scale_shape_manual(values=c(22,21)) +save_outputs(g, "bars-and-lines/basic-line-with-points-fully-styled", file_prefix="") + +g <- ggplot(data=df1, aes(x=sex, y=total_bill, group=time, shape=time, color=time)) + geom_line() + geom_point() +save_outputs(g, "bars-and-lines/basic-line-swapped-vars", file_prefix="") + +# A bar graph +g <- ggplot(data=df1, aes(x=time, y=total_bill, fill=sex)) + + geom_bar(colour="black", stat="identity", + position=position_dodge(), + size=.3) + # Thinner lines + scale_fill_hue(name="Sex of payer") + # Set legend title + xlab("Time of day") + ylab("Total bill") + # Set axis labels + ggtitle("Average bill for 2 people") + # Set title + theme_bw() +save_outputs(g, "bars-and-lines/finished-bar-bw-theme", file_prefix="") + +# A line graph +g <- ggplot(data=df1, aes(x=time, y=total_bill, group=sex, shape=sex, colour=sex)) + + geom_line(aes(linetype=sex), size=1) + # Set linetype by sex + geom_point(size=3, fill="white") + # Use larger points, fill with white + ylim(0, max(df1$total_bill)) + # Set y range + scale_colour_hue(name="Sex of payer", # Set legend title + l=30) + # Use darker colors (lightness=30) + scale_shape_manual(name="Sex of payer", + values=c(22,21)) + # Use points with a fill color + scale_linetype_discrete(name="Sex of payer") + + xlab("Time of day") + ylab("Total bill") + # Set axis labels + ggtitle("Average bill for 2 people") + # Set title + theme_bw() + + theme(legend.position=c(.7, .4)) # Position legend inside + # This must go after theme_bw +save_outputs(g, "bars-and-lines/finished-line", file_prefix="") + +dfn <- read.table(header=T, text=" +supp dose length + OJ 0.5 13.23 + OJ 1.0 22.70 + OJ 2.0 26.06 + VC 0.5 7.98 + VC 1.0 16.77 + VC 2.0 26.14 +") + +g <- ggplot(data=dfn, aes(x=dose, y=length, group=supp, colour=supp)) + geom_line() + geom_point() +save_outputs(g, "bars-and-lines/line-continuous-numerical-x-axis", file_prefix="") + +# Copy the data frame and convert dose to a factor +dfn2 <- dfn +dfn2$dose <- factor(dfn2$dose) +g <- ggplot(data=dfn2, aes(x=dose, y=length, group=supp, colour=supp)) + geom_line() + geom_point() +save_outputs(g, "bars-and-lines/line-continuous-categorical-x-axis", file_prefix="") + +# Use the original data frame, but put factor() directly in the plot specification + +## TODO: Uncomment when Plotly supports this +## g <- ggplot(data=dfn, aes(x=factor(dose), y=length, group=supp, colour=supp)) + geom_line() + geom_point() +## save_outputs(g, "bars-and-lines/line-continuous-categorical-x-axis-with-factor", file_prefix="") + +# Use dfn2 from above +g <- ggplot(data=dfn2, aes(x=dose, y=length, fill=supp)) + geom_bar(stat="identity", position=position_dodge()) +save_outputs(g, "bars-and-lines/bar-categorical-numerical-labels", file_prefix="") + +# Use the original data frame, but put factor() directly in the plot specification +g <- ggplot(data=dfn, aes(x=factor(dose), y=length, fill=supp)) + geom_bar(stat="identity", position=position_dodge()) +save_outputs(g, "bars-and-lines/bar-categorical-numerical-labels-with-factor", file_prefix="") + +# Add title, narrower bars, gray fill, and change axis labels +g <- ggplot(data=df, aes(x=time, y=total_bill, fill=time)) + + geom_bar(colour="black", fill="#DD8888", width=.7, stat="identity") + + guides(fill=FALSE) + + xlab("Time of day") + ylab("Total bill") + + ggtitle("Average bill for 2 people") +save_outputs(g, "bars-and-lines/basic-bar-fully-styled", file_prefix="") diff --git a/tests/cookbook-test-suite/distributions.R b/tests/cookbook-test-suite/distributions.R new file mode 100644 index 0000000000..d507f47a8a --- /dev/null +++ b/tests/cookbook-test-suite/distributions.R @@ -0,0 +1,117 @@ +set.seed(1234) +df <- data.frame(cond = factor( rep(c("A","B"), each=200) ), + rating = c( + c(-1.207065749, 0.277429242, 1.084441177, -2.345697703, 0.429124689, 0.506055892, -0.574739960, -0.546631856, -0.564451999, -0.890037829-0.477192700, -0.998386445, -0.776253895, 0.064458817, 0.959494059-0.110285494, -0.511009506, -0.911195417, -0.837171680, 2.415835178, 0.134088220, -0.490685897, -0.440547872, 0.459589441, -0.693720247-1.448204910, 0.574755721, -1.023655723, -0.015138300, -0.935948601, 1.102297546, -0.475593079, -0.709440038, -0.501258061, -1.629093469-1.167619262, -2.180039649, -1.340993192, -0.294293859, -0.465897540, 1.449496265, -1.068642724, -0.855364634, -0.280623002, -0.994340076-0.968514318, -1.107318193, -1.251985886, -0.523828119, -0.496849957-1.806031257, -0.582075925, -1.108889624, -1.014962009, -0.162309524, 0.563055819, 1.647817473, -0.773353424, 1.605909629, -1.157808548, 0.656588464, 2.548991071, -0.034760390, -0.669633580, -0.007604756, 1.777084448, -1.138607737, 1.367827179, 1.329564791, 0.336472797, 0.006892838, -0.455468738, -0.366523933, 0.648286568, 2.070270861-0.153398412, -1.390700947, -0.723581777, 0.258261762, -0.317059115-0.177789958, -0.169994077, -1.372301886, -0.173787170, 0.850232257, 0.697608712, 0.549997351, -0.402731975, -0.191593770, -1.194527880-0.053158819, 0.255196001, 1.705964007, 1.001513252, -0.495583443, 0.355550297, -1.134608044, 0.878203627, 0.972916753, 2.121117105, 0.414523534, -0.474718474, 0.065993494, -0.502477782, -0.825998587, 0.166989280, -0.896264626, 0.168185388, 0.354968261, -0.052105117-0.195934619, -0.649069752, -1.109767231, 0.849274203, 0.022362526, 0.831140617, -1.244287851, 0.169026414, 0.673166307, -0.026276376-0.191392169, -0.781906647, 2.058161988, 0.750501453, 1.824208302, 0.080059641, -0.631409299, -1.513288120, -0.636099831, 0.226301532, 1.013690347, 0.252750135, -1.171948313, 0.668714329, -1.650100935-0.365852248, -0.316118329, -1.948246047, 0.920057522, -0.622871595-0.334036650, 1.395147893, 0.636674411, -0.108431697, 0.513762778, 0.399271807, 1.662856447, 0.275893404, 0.506272623, 0.347551975-0.377237647, 0.097619463, 1.638744645, -0.875592474, 0.121759999, 1.362130661, -0.234621087, -1.053382808, -0.869783606, -0.390127030-0.847350073, -0.260639392, -0.414419706, -0.183050798, 0.407056098, 0.624633128, 1.678205744, -0.068693654, -0.320839913, 1.471005717, 1.704329398, 0.043244038, -0.332657319, -1.822235418, 1.411262399-0.837582434, -1.123762794, 3.043765886, 0.235021308, -0.033258610-2.732219523, -0.099790588, 0.976031735, 0.413868915, 0.912322162, 1.983732201, 1.169108514, -0.508737015, 0.704180178, -0.198416274-0.538070789, -2.855758655, -0.789646852, 0.487814635, 2.168032540, 0.500694614, 0.620210204, -0.965903210, 0.162654708, -2.078237542), + c(1.28522682, 1.49676878, 0.98551392, 1.50073352, 1.11168103, 1.56046236, 2.64246363, 1.91236284, 0.83266396, -0.31444896, 1.21805782, 0.39976476, 2.29349310, -0.80708094, 0.38424821, 1.22200837, 0.64826346, 0.19384888, 0.49527893, 1.42953610, 1.69517198, 1.46021263, 3.07348352, 1.97349757, 1.08770973, 0.14022991, 3.71914013, 1.47741550, 0.11567966, 0.98649208, 0.47560670, 0.52529578, -0.13350334, 0.91684534, 1.11916024, -0.27754212, -2.43315213, 0.54512535, 0.82951783, 1.39427377, 0.85913517, 1.21339889, -0.29777217, 1.51117526, 1.51888873, 1.05165107, 2.15727444, 1.20446847, 1.06436427, 1.06804390, 1.23693058, 1.86012391, 1.25219040, 1.46319862, -0.33637355, 0.42950248, 2.27696959, -0.42390375, 1.05806839, 1.20500281, 1.77580332, 0.45112326, 0.95862544, -0.96325507, 1.13859605, 0.13343497, 0.56135338, -0.38776528, 1.18493532, 1.46657952, 0.49538611, 2.62501106, 1.47055937, 1.74863257, 2.84940300, 0.14888639, 1.60861927, 1.78658061, 0.79382920, 1.11905236, -0.21182190, 1.27016755, 0.09902967, 1.61368286, -0.01143078, 1.11939749, -0.04652265, 0.55423682, -0.75285901, 0.92843403, 1.78544339, 0.98324752, -0.96622921, 0.17946630, 2.45604304, 2.60980539, -0.37503677, 0.43329674, 1.15362545, 1.11915622, 0.22004301, -0.15327870, 0.62057141, 1.80980821, 0.82362661, 0.15097178, 0.29562578, 2.41439150, 0.35304019, 1.56317676, 2.27171869, 1.24366490, 0.37827813, 0.75999837, 0.30772003, 2.02771712, 0.65044643, 2.34998338, 0.23838746, 0.15288275, 0.94313216, 0.82418865, 0.29554848, -0.78139681, 0.83006642, 0.08342330, 1.88261096, -0.15268545, 1.92648273, 0.15095698, 1.09247008, 1.69870272, 0.28125764, 1.35443855, 0.71202633, -0.33521293, 0.52992039, 2.41978988, 0.58586883, -0.01778246, 0.74597708, 1.13014161, 1.75532461, 1.94395988, 0.90052240, 1.96457525, 0.03574005, -1.54451340, 0.32831657, 0.28414451, -1.51603615, 1.36247176, 0.01622486, 0.57394601, -0.78710299, 1.34752420, 2.69122702, -0.07807711, 0.68744109, 2.74871306, 1.73381633, 2.71305942, 0.79476594, 0.64773995, 0.29036834, 2.23457370, -0.48583853, 1.10731422, 0.75368147, 3.05184180, 0.19196627, -0.70928817, 1.03263177, 0.76035130, -0.03912507, 0.93229109, 0.52447525, 0.12124136, 1.30083593, 0.46833769, -1.03498025, -1.85174125, 0.21941783, 2.25418687, 1.63812938, 2.01505358, 1.78250544, 1.11576402, -0.70706263, 1.00556979, 2.39722809, -2.59606353, 0.01864772, 1.90246464, 1.32874502, 1.58939440, 1.25709951, 1.33883312, 0.81464312, -0.11648914, 1.28522682, 1.49676878, 0.98551392, 1.50073352, 1.11168103, 1.56046236, 2.64246363, 1.91236284, 0.83266396, -0.31444896, 1.21805782, 0.39976476, 2.29349310, -0.80708094, 0.38424821, 1.22200837, 0.64826346, 0.19384888))) +# cond rating +# A -1.2070657 +# A 0.2774292 +# A 1.0844412 +# ... +# B 1.3388331 +# B 0.8146431 +# B -0.1164891 + + +# Basic histogram from the vector "rating". Each bin is .5 wide. +# These both do the same thing: +qplot(df$rating, binwidth=.5) +g <- ggplot(df, aes(x=rating)) + geom_histogram(binwidth=.5) +save_outputs(g, "distributions/basic-histogram", file_prefix="") + +# Draw with black outline, white fill +g <- ggplot(df, aes(x=rating)) + geom_histogram(binwidth=.5, colour="black", fill="white") +save_outputs(g, "distributions/basic-histogram-white-filling", file_prefix="") + +# Density curve +g <- ggplot(df, aes(x=rating)) + geom_density() +save_outputs(g, "distributions/basic-density-curve", file_prefix="") + +# Histogram overlaid with kernel density curve +g <- ggplot(df, aes(x=rating)) + + geom_histogram(aes(y=..density..), # Histogram with density instead of count on y-axis + binwidth=.5, + colour="black", fill="white") + + geom_density(alpha=.2, fill="#FF6666") # Overlay with transparent density plot +save_outputs(g, "distributions/basic-density-curve-with-histogram", file_prefix="") + +g <- ggplot(df, aes(x=rating)) + geom_histogram(binwidth=.5, colour="black", fill="white") + + geom_vline(aes(xintercept=mean(rating, na.rm=T)), # Ignore NA values for mean + color="red", linetype="dashed", size=1) +save_outputs(g, "distributions/histogram-with-vertical-line", file_prefix="") + +# Overlaid histograms +g <- ggplot(df, aes(x=rating, fill=cond)) + geom_histogram(binwidth=.5, alpha=.5, position="identity") +save_outputs(g, "distributions/overlaid-histograms", file_prefix="") + +# Interleaved histograms +g <- ggplot(df, aes(x=rating, fill=cond)) + geom_histogram(binwidth=.5, position="dodge") +save_outputs(g, "distributions/grouped-histograms", file_prefix="") + +# Density plots +g <- ggplot(df, aes(x=rating, colour=cond)) + geom_density() +save_outputs(g, "distributions/multiple-density-plots", file_prefix="") + +# Density plots with semi-transparent fill +g <- ggplot(df, aes(x=rating, fill=cond)) + geom_density(alpha=.3) +save_outputs(g, "distributions/filled-density-plots", file_prefix="") + +# Find the mean of each group +library(plyr) +cdf <- ddply(df, "cond", summarise, rating.mean=mean(rating)) +# cond rating.mean +# A -0.05775928 +# B 0.87324927 + + +# Overlaid histograms with means +g <- ggplot(df, aes(x=rating, fill=cond)) + + geom_histogram(binwidth=.5, alpha=.5, position="identity") + + geom_vline(data=cdf, aes(xintercept=rating.mean, colour=cond), + linetype="dashed", size=1) +## TODO: uncomment when fixed: error "rating" not found +# save_outputs(g, "distributions/overlaid-histograms-with-means", file_prefix="") + +# Density plots with means +g <- ggplot(df, aes(x=rating, colour=cond)) + geom_density() + + geom_vline(data=cdf, aes(xintercept=rating.mean, colour=cond), + linetype="dashed", size=1) +## TODO: uncomment when fixed: error "rating" not found +# save_outputs(g, "distributions/density-plot-with-means", file_prefix="") + +g <- ggplot(df, aes(x=rating)) + geom_histogram(binwidth=.5, colour="black", fill="white") + + facet_grid(cond ~ .) +save_outputs(g, "distributions/faceted-histograms", file_prefix="") + +# With mean lines, using cdf from above +g <- ggplot(df, aes(x=rating)) + geom_histogram(binwidth=.5, colour="black", fill="white") + + facet_grid(cond ~ .) + + geom_vline(data=cdf, aes(xintercept=rating.mean), + linetype="dashed", size=1, colour="red") +## TODO: uncomment when fixed: error "rating" not found +# save_outputs(g, "distributions/faceted-histograms-with-mean-lines", file_prefix="") + +# A basic box plot +g <- ggplot(df, aes(x=cond, y=rating)) + geom_boxplot() +save_outputs(g, "distributions/basic-box-plot", file_prefix="") + +# A basic box with the conditions colored +g <- ggplot(df, aes(x=cond, y=rating, fill=cond)) + geom_boxplot() +save_outputs(g, "distributions/box-plot-with-conditions-colored", file_prefix="") + +# The above adds a redundant legend. With the legend removed: +g <- ggplot(df, aes(x=cond, y=rating, fill=cond)) + geom_boxplot() + + guides(fill=FALSE) +save_outputs(g, "distributions/box-plot-with-legend-removed", file_prefix="") + +# With flipped axes +g <- ggplot(df, aes(x=cond, y=rating, fill=cond)) + geom_boxplot() + + guides(fill=FALSE) + coord_flip() +save_outputs(g, "distributions/box-plot-with-flipped-axes", file_prefix="") + +# Add a diamond at the mean, and make it larger +g <- ggplot(df, aes(x=cond, y=rating)) + geom_boxplot() + + stat_summary(fun.y=mean, geom="point", shape=5, size=4) +save_outputs(g, "distributions/box-plot-with-diamond-means", file_prefix="") + + diff --git a/tests/cookbook-test-suite/distributions/basic-box-plot-ggplot2.png b/tests/cookbook-test-suite/distributions/basic-box-plot-ggplot2.png new file mode 100644 index 0000000000..963846c6bb Binary files /dev/null and b/tests/cookbook-test-suite/distributions/basic-box-plot-ggplot2.png differ diff --git a/tests/cookbook-test-suite/distributions/basic-box-plot-plotly.png b/tests/cookbook-test-suite/distributions/basic-box-plot-plotly.png new file mode 100644 index 0000000000..61718e0d58 Binary files /dev/null and b/tests/cookbook-test-suite/distributions/basic-box-plot-plotly.png differ diff --git a/tests/cookbook-test-suite/distributions/basic-box-plot.json b/tests/cookbook-test-suite/distributions/basic-box-plot.json new file mode 100644 index 0000000000..dd0a83065a --- /dev/null +++ b/tests/cookbook-test-suite/distributions/basic-box-plot.json @@ -0,0 +1,462 @@ +{ + "data": [ + { + "y": [ + -1.207065749, + 0.277429242, + 1.084441177, + -2.345697703, + 0.429124689, + 0.506055892, + -0.57473996, + -0.546631856, + -0.564451999, + -1.367230529, + -0.998386445, + -0.776253895, + 0.064458817, + 0.849208565, + -0.511009506, + -0.911195417, + -0.83717168, + 2.415835178, + 0.13408822, + -0.490685897, + -0.440547872, + 0.459589441, + -2.141925157, + 0.574755721, + -1.023655723, + -0.0151383, 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17.82 1.75 Male No Sat Dinner 2 +# 18.78 3.00 Female No Thur Dinner 2 + +library(ggplot2) +sp <- ggplot(tips, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1) +save_outputs(sp, 'facets/no features', file_prefix="") + +# Divide by levels of "sex", in the vertical direction +sp1 <- sp + facet_grid(sex ~ .) +save_outputs(sp1, 'facets/vertical facet_grid', file_prefix="") + +# Divide by levels of "sex", in the horizontal direction +sp2 <- sp + facet_grid(. ~ sex) +save_outputs(sp2, 'facets/horizontal facet_grid', file_prefix="") + +# Divide with "sex" vertical, "day" horizontal +sp3 <- sp + facet_grid(sex ~ day) +save_outputs(sp3, 'facets/2x4 facet_grid - sex-vertical day-horizontal', file_prefix="") + +# Divide by day, going horizontally and wrapping with 2 columns +sp4 <- sp + facet_wrap( ~ day, ncol=2) +save_outputs(sp4, 'facets/facet_wrap', file_prefix="") + +sp5 <- sp + facet_grid(sex ~ day) + + theme(strip.text.x = element_text(size=8, angle=75), + strip.text.y = element_text(size=12, face="bold"), + strip.background = element_rect(colour="red", fill="#CCCCFF")) +save_outputs(sp5, 'facets/facet label colors', file_prefix="") + +mf_labeller <- function(var, value){ + value <- as.character(value) + if (var=="sex") { + value[value=="Female"] <- "Woman" + value[value=="Male"] <- "Man" + } + return(value) +} + +sp6 <- sp + facet_grid(. ~ sex, labeller=mf_labeller) +save_outputs(sp6, 'facets/custom facet labels', file_prefix="") + +tips2 <- tips +levels(tips2$sex)[levels(tips2$sex)=="Female"] <- "Woman" +levels(tips2$sex)[levels(tips2$sex)=="Male"] <- "Man" +# total_bill tip sex smoker day time size +# 16.99 1.01 Woman No Sun Dinner 2 +# 10.34 1.66 Man No Sun Dinner 3 +# ... + +sp2 <- ggplot(tips2, aes(x=total_bill, y=tip/total_bill)) + geom_point(shape=1) +sp2 + facet_grid(. ~ sex) + +# A histogram of bill sizes +hp <- ggplot(tips, aes(x=total_bill)) + geom_histogram(binwidth=2,colour="white") + +# Histogram of total_bill, divided by sex and smoker +sp7 <- hp + facet_grid(sex ~ smoker) +save_outputs(sp7, 'facets/histogram facets', file_prefix="") + +# Same as above, with scales="free_y" +sp8 <- hp + facet_grid(sex ~ smoker, scales="free_y") +save_outputs(sp8, 'facets/histogram facets with free_y', file_prefix="") + +# With panels that have the same scaling, but different range (and therefore different physical sizes) +sp9 <- hp + facet_grid(sex ~ smoker, scales="free", space="free") +save_outputs(sp9, 'facets/histogram facets with scales=free', file_prefix="") diff --git a/tests/cookbook-test-suite/legends.R b/tests/cookbook-test-suite/legends.R new file mode 100644 index 0000000000..a998019461 --- /dev/null +++ b/tests/cookbook-test-suite/legends.R @@ -0,0 +1,132 @@ +bp <- ggplot(data=PlantGrowth, aes(x=group, y=weight, fill=group)) + geom_boxplot() + +# Remove legend for a particular aesthetic (fill) +temp <- bp + guides(fill=FALSE) +save_outputs(temp, "legends/hidden legend - 1", file_prefix="") + +# It can also be done when specifying the scale +temp <- bp + scale_fill_discrete(guide=FALSE) +save_outputs(temp, "legends/hidden legend - 2", file_prefix="") + +# This removes all legends +temp <- bp + theme(legend.position="none") +save_outputs(temp, "legends/hidden legend - all", file_prefix="") + +bp + scale_fill_discrete(breaks=c("trt1","ctrl","trt2")) + +# These two methods are equivalent: +bp + guides(fill = guide_legend(reverse=TRUE)) +temp <- bp + scale_fill_discrete(guide = guide_legend(reverse=TRUE)) +save_outputs(temp, "legends/reversed legend", file_prefix="") + +# You can also modify the scale directly: +bp + scale_fill_discrete(breaks = rev(levels(PlantGrowth$group))) + +# Remove title for fill legend +temp <- bp + guides(fill=guide_legend(title=NULL)) +save_outputs(temp, "legends/removed legend title", file_prefix="") + +# Remove title for all legends +temp <- bp + theme(legend.title=element_blank()) +save_outputs(temp, "legends/removed legend titles", file_prefix="") + +temp <- bp + scale_fill_discrete(name="Experimental\nCondition") +save_outputs(temp, "legends/multiple line legend title", file_prefix="") + +temp <- bp + scale_fill_discrete(name="Experimental\nCondition", + breaks=c("ctrl", "trt1", "trt2"), + labels=c("Control", "Treatment 1", "Treatment 2")) +save_outputs(temp, "legends/legend title with custom labels", file_prefix="") + +# Using a manual scale instead of hue +temp <- bp + scale_fill_manual(values=c("#999999", "#E69F00", "#56B4E9"), + name="Experimental\nCondition", + breaks=c("ctrl", "trt1", "trt2"), + labels=c("Control", "Treatment 1", "Treatment 2")) +save_outputs(temp, "legends/legend title with custom colors", file_prefix="") + +# A different data set +df1 <- data.frame(sex = factor(c("Female","Female","Male","Male")), + time = factor(c("Lunch","Dinner","Lunch","Dinner"), levels=c("Lunch","Dinner")), + total_bill = c(13.53, 16.81, 16.24, 17.42)) + +# A basic graph +lp <- ggplot(data=df1, aes(x=time, y=total_bill, group=sex, shape=sex)) + geom_line() + geom_point() + +# Change the legend +temp <- lp + scale_shape_discrete(name ="Payer", + breaks=c("Female", "Male"), + labels=c("Woman", "Man")) +save_outputs(temp, "legends/line chart with custom legend", file_prefix="") + +# Specify colour and shape +lp1 <- ggplot(data=df1, aes(x=time, y=total_bill, group=sex, shape=sex, colour=sex)) + geom_line() + geom_point() + +# Here"s what happens if you just specify colour +lp1 + scale_colour_discrete(name ="Payer", + breaks=c("Female", "Male"), + labels=c("Woman", "Man")) + +# Specify both colour and shape +lp1 + scale_colour_discrete(name ="Payer", + breaks=c("Female", "Male"), + labels=c("Woman", "Man")) + + scale_shape_discrete(name ="Payer", + breaks=c("Female", "Male"), + labels=c("Woman", "Man")) + +pg <- PlantGrowth # Copy data into new data frame +# Rename the column and the values in the factor +levels(pg$group)[levels(pg$group)=="ctrl"] <- "Control" +levels(pg$group)[levels(pg$group)=="trt1"] <- "Treatment 1" +levels(pg$group)[levels(pg$group)=="trt2"] <- "Treatment 2" +names(pg)[names(pg)=="group"] <- "Experimental Condition" + +# The end product +# pg +# weight Experimental Condition +# 4.17 ctrl +# 5.58 ctrl +# ... +# 5.80 trt2 +# 5.26 trt2 + +# Make the plot +ggplot(data=pg, aes(x=`Experimental Condition`, y=weight, fill=`Experimental Condition`)) + geom_boxplot() + +# Title appearance +temp <- bp + theme(legend.title = element_text(colour="blue", size=16, face="bold")) +save_outputs(temp, "legends/styled legend title", file_prefix="") + +# Label appearance +temp <- bp + theme(legend.text = element_text(colour="blue", size = 16, face = "bold")) +save_outputs(temp, "legends/styled legend labels", file_prefix="") + +bp + theme(legend.background = element_rect()) +temp <- bp + theme(legend.background = element_rect(fill="gray90", size=.5, linetype="dotted")) +save_outputs(temp, "legends/box around legend", file_prefix="") + +temp <- bp + theme(legend.position="top") +save_outputs(temp, "legends/legend on top", file_prefix="") + +# Position legend in graph, where x,y is 0,0 (bottom left) to 1,1 (top right) +temp <- bp + theme(legend.position=c(.5, .5)) +save_outputs(temp, "legends/legend in middle", file_prefix="") + +# Set the "anchoring point" of the legend (bottom-left is 0,0; top-right is 1,1) +# Put bottom-left corner of legend box in bottom-left corner of graph +temp <- bp + theme(legend.justification=c(0,0), legend.position=c(0,0)) +save_outputs(temp, "legends/legend in bottom left", file_prefix="") +# Put bottom-right corner of legend box in bottom-right corner of graph +temp <- bp + theme(legend.justification=c(1,0), legend.position=c(1,0)) +save_outputs(temp, "legends/legend in bottom right", file_prefix="") + +# No outline +ggplot(data=PlantGrowth, aes(x=group, fill=group)) + geom_bar() + +# Add outline, but slashes appear in legend +ggplot(data=PlantGrowth, aes(x=group, fill=group)) + geom_bar(colour="black") + +# A hack to hide the slashes: first graph the bars with no outline and add the legend, +# then graph the bars again with outline, but with a blank legend. +ggplot(data=PlantGrowth, aes(x=group, fill=group)) + geom_bar() + geom_bar(colour="black", show_guide=FALSE) diff --git a/tests/cookbook-test-suite/legends/box_around_legend-ggplot2.png b/tests/cookbook-test-suite/legends/box_around_legend-ggplot2.png new file mode 100644 index 0000000000..e81a0d0836 Binary files /dev/null and b/tests/cookbook-test-suite/legends/box_around_legend-ggplot2.png differ diff --git a/tests/cookbook-test-suite/legends/box_around_legend-plotly.png b/tests/cookbook-test-suite/legends/box_around_legend-plotly.png new file mode 100644 index 0000000000..827b0a55c7 Binary files /dev/null and b/tests/cookbook-test-suite/legends/box_around_legend-plotly.png differ diff --git a/tests/cookbook-test-suite/legends/box_around_legend.json b/tests/cookbook-test-suite/legends/box_around_legend.json new file mode 100644 index 0000000000..08eea2d144 --- /dev/null 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"rgb(255,255,255)", + "plot_bgcolor": "rgb(229,229,229)" + } +} diff --git a/tests/cookbook-test-suite/legends/styled_legend_title.url b/tests/cookbook-test-suite/legends/styled_legend_title.url new file mode 100644 index 0000000000..02b7cd592c --- /dev/null +++ b/tests/cookbook-test-suite/legends/styled_legend_title.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/677 diff --git a/tests/cookbook-test-suite/lines.R b/tests/cookbook-test-suite/lines.R new file mode 100644 index 0000000000..67b3a9e2d0 --- /dev/null +++ b/tests/cookbook-test-suite/lines.R @@ -0,0 +1,137 @@ +# Some sample data +df <- read.table(header=T, text=" + cond result + control 10 +treatment 11.5 +") + +# Basic bar plot +bp <- ggplot(df, aes(x=cond, y=result)) + + geom_bar(position="dodge", stat="identity") +bp + +# Add a horizontal line +temp <- bp + geom_hline(aes(yintercept=12)) +save_outputs(temp, "lines/basic horizontal line", file_prefix="") + +# Make the line red and dashed +temp <- bp + geom_hline(aes(yintercept=12), colour="#990000", linetype="dashed") +save_outputs(temp, "lines/dashed red line", file_prefix="") + +# Draw separate hlines for each bar. First add another column to df +df$hline <- c(9,12) +# cond result hline +# control 10.0 9 +# treatment 11.5 12 + +# Need to re-specify bp, because the data has changed +bp <- ggplot(df, aes(x=cond, y=result)) + geom_bar(position=position_dodge()) + +# Draw with separate lines for each bar +bp + geom_errorbar(aes(y=hline, ymax=hline, ymin=hline), colour="#AA0000") + +# Make the lines narrower +bp + geom_errorbar(width=0.5, aes(y=hline, ymax=hline, ymin=hline), colour="#AA0000") + + +# Can get the same result, even if we get the hline values from a second data frame +# Define data frame with hline +df.hlines <- data.frame(cond=c("control","treatment"), hline=c(9,12)) +# cond hline +# control 9 +# treatment 12 + +# The bar graph are from df, but the lines are from df.hlines +bp + geom_errorbar(data=df.hlines, aes(y=hline, ymax=hline, ymin=hline), colour="#AA0000") + +df <- read.table(header=T, text=" + cond group result hline + control A 10 9 +treatment A 11.5 12 + control B 12 9 +treatment B 14 12 +") + +# Define basic bar plot +bp <- ggplot(df, aes(x=cond, y=result, fill=group)) + geom_bar(position=position_dodge()) +bp + +# The error bars get plotted over one another -- there are four but it looks like two +bp + geom_errorbar(aes(y=hline, ymax=hline, ymin=hline), linetype="dashed") + +df <- read.table(header=T, text=" + cond group result hline + control A 10 11 +treatment A 11.5 12 + control B 12 12.5 +treatment B 14 15 +") + +# Define basic bar plot +bp <- ggplot(df, aes(x=cond, y=result, fill=group)) + geom_bar(position=position_dodge()) +bp + +bp + geom_errorbar(aes(y=hline, ymax=hline, ymin=hline), linetype="dashed", position=position_dodge()) + +df <- read.table(header=T, text=" + cond xval yval + control 11.5 10.8 + control 9.3 12.9 + control 8.0 9.9 + control 11.5 10.1 + control 8.6 8.3 + control 9.9 9.5 + control 8.8 8.7 + control 11.7 10.1 + control 9.7 9.3 + control 9.8 12.0 + treatment 10.4 10.6 + treatment 12.1 8.6 + treatment 11.2 11.0 + treatment 10.0 8.8 + treatment 12.9 9.5 + treatment 9.1 10.0 + treatment 13.4 9.6 + treatment 11.6 9.8 + treatment 11.5 9.8 + treatment 12.0 10.6 +") + +library(ggplot2) + +# The basic scatterplot +sp <- ggplot(df, aes(x=xval, y=yval, colour=cond)) + geom_point() + + +# Add a horizontal line +temp <- sp + geom_hline(aes(yintercept=10)) +save_outputs(temp, "lines/hline on scatter", file_prefix="") + +# Add a red dashed vertical line +temp <- sp + geom_hline(aes(yintercept=10)) + geom_vline(aes(xintercept=11.5), colour="#BB0000", linetype="dashed") +save_outputs(temp, "lines/hline n vline on scatter", file_prefix="") + +# Add colored lines for the mean xval of each group +temp <- sp + geom_hline(aes(yintercept=10)) + + geom_line(stat="vline", xintercept="mean") +save_outputs(temp, "lines/colored lines on scatter", file_prefix="") + +# Facet, based on cond +spf <- sp + facet_grid(. ~ cond) +spf + +# Draw a horizontal line in all of the facets at the same value +temp <- spf + geom_hline(aes(yintercept=10)) +save_outputs(temp, "lines/hline on facets", file_prefix="") + +df.vlines <- data.frame(cond=levels(df$cond), xval=c(10,11.5)) +# cond xval +# control 10.0 +# treatment 11.5 + +spf + geom_hline(aes(yintercept=10)) + + geom_vline(aes(xintercept=xval), data=df.vlines, + colour="#990000", linetype="dashed") + +spf + geom_hline(aes(yintercept=10)) + + geom_line(stat="vline", xintercept="mean") diff --git a/tests/cookbook-test-suite/lines/basic_horizontal_line-ggplot2.png b/tests/cookbook-test-suite/lines/basic_horizontal_line-ggplot2.png new file mode 100644 index 0000000000..4bd34dfa79 Binary files /dev/null and b/tests/cookbook-test-suite/lines/basic_horizontal_line-ggplot2.png differ diff --git a/tests/cookbook-test-suite/lines/basic_horizontal_line-plotly.png b/tests/cookbook-test-suite/lines/basic_horizontal_line-plotly.png new file mode 100644 index 0000000000..b714a999ef Binary files /dev/null and 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b/tests/cookbook-test-suite/means_and_error_bars.R new file mode 100644 index 0000000000..56c67576c0 --- /dev/null +++ b/tests/cookbook-test-suite/means_and_error_bars.R @@ -0,0 +1,411 @@ +df <- ToothGrowth +# len supp dose +# 4.2 VC 0.5 +# 11.5 VC 0.5 +# ... +# 29.4 OJ 2 +# 23.0 OJ 2 + +# summarySE provides the standard deviation, standard error of the mean, and a (default 95%) confidence interval + +## Summarizes data. +## Gives count, mean, standard deviation, standard error of the mean, and confidence interval (default 95%). +## data: a data frame. +## measurevar: the name of a column that contains the variable to be summariezed +## groupvars: a vector containing names of columns that contain grouping variables +## na.rm: a boolean that indicates whether to ignore NA"s +## conf.interval: the percent range of the confidence interval (default is 95%) +summarySE <- function(data=NULL, measurevar, groupvars=NULL, na.rm=FALSE, + conf.interval=.95, .drop=TRUE) { + require(plyr) + + # New version of length which can handle NA"s: if na.rm==T, don"t count them + length2 <- function (x, na.rm=FALSE) { + if (na.rm) sum(!is.na(x)) + else length(x) + } + + # This does the summary. For each group"s data frame, return a vector with + # N, mean, and sd + datac <- ddply(data, groupvars, .drop=.drop, + .fun = function(xx, col) { + c(N = length2(xx[[col]], na.rm=na.rm), + mean = mean (xx[[col]], na.rm=na.rm), + sd = sd (xx[[col]], na.rm=na.rm) + ) + }, + measurevar + ) + + # Rename the "mean" column + datac <- rename(datac, c("mean" = measurevar)) + + datac$se <- datac$sd / sqrt(datac$N) # Calculate standard error of the mean + + # Confidence interval multiplier for standard error + # Calculate t-statistic for confidence interval: + # e.g., if conf.interval is .95, use .975 (above/below), and use df=N-1 + ciMult <- qt(conf.interval/2 + .5, datac$N-1) + datac$ci <- datac$se * ciMult + + return(datac) +} +## Norms the data within specified groups in a data frame; it normalizes each +## subject (identified by idvar) so that they have the same mean, within each group +## specified by betweenvars. +## data: a data frame. +## idvar: the name of a column that identifies each subject (or matched subjects) +## measurevar: the name of a column that contains the variable to be summariezed +## betweenvars: a vector containing names of columns that are between-subjects variables +## na.rm: a boolean that indicates whether to ignore NA"s +normDataWithin <- function(data=NULL, idvar, measurevar, betweenvars=NULL, + na.rm=FALSE, .drop=TRUE) { + require(plyr) + + # Measure var on left, idvar + between vars on right of formula. + data.subjMean <- ddply(data, c(idvar, betweenvars), .drop=.drop, + .fun = function(xx, col, na.rm) { + c(subjMean = mean(xx[,col], na.rm=na.rm)) + }, + measurevar, + na.rm + ) + + # Put the subject means with original data + data <- merge(data, data.subjMean) + + # Get the normalized data in a new column + measureNormedVar <- paste(measurevar, "_norm", sep="") + data[,measureNormedVar] <- data[,measurevar] - data[,"subjMean"] + + mean(data[,measurevar], na.rm=na.rm) + + # Remove this subject mean column + data$subjMean <- NULL + + return(data) +} +## Summarizes data, handling within-subjects variables by removing inter-subject variability. +## It will still work if there are no within-S variables. +## Gives count, un-normed mean, normed mean (with same between-group mean), +## standard deviation, standard error of the mean, and confidence interval. +## If there are within-subject variables, calculate adjusted values using method from Morey (2008). +## data: a data frame. +## measurevar: the name of a column that contains the variable to be summariezed +## betweenvars: a vector containing names of columns that are between-subjects variables +## withinvars: a vector containing names of columns that are within-subjects variables +## idvar: the name of a column that identifies each subject (or matched subjects) +## na.rm: a boolean that indicates whether to ignore NA"s +## conf.interval: the percent range of the confidence interval (default is 95%) +summarySEwithin <- function(data=NULL, measurevar, betweenvars=NULL, withinvars=NULL, + idvar=NULL, na.rm=FALSE, conf.interval=.95, .drop=TRUE) { + + # Ensure that the betweenvars and withinvars are factors + factorvars <- vapply(data[, c(betweenvars, withinvars), drop=FALSE], + FUN=is.factor, FUN.VALUE=logical(1)) + + if (!all(factorvars)) { + nonfactorvars <- names(factorvars)[!factorvars] + message("Automatically converting the following non-factors to factors: ", + paste(nonfactorvars, collapse = ", ")) + data[nonfactorvars] <- lapply(data[nonfactorvars], factor) + } + + # Get the means from the un-normed data + datac <- summarySE(data, measurevar, groupvars=c(betweenvars, withinvars), + na.rm=na.rm, conf.interval=conf.interval, .drop=.drop) + + # Drop all the unused columns (these will be calculated with normed data) + datac$sd <- NULL + datac$se <- NULL + datac$ci <- NULL + + # Norm each subject"s data + ndata <- normDataWithin(data, idvar, measurevar, betweenvars, na.rm, .drop=.drop) + + # This is the name of the new column + measurevar_n <- paste(measurevar, "_norm", sep="") + + # Collapse the normed data - now we can treat between and within vars the same + ndatac <- summarySE(ndata, measurevar_n, groupvars=c(betweenvars, withinvars), + na.rm=na.rm, conf.interval=conf.interval, .drop=.drop) + + # Apply correction from Morey (2008) to the standard error and confidence interval + # Get the product of the number of conditions of within-S variables + nWithinGroups <- prod(vapply(ndatac[,withinvars, drop=FALSE], FUN=nlevels, + FUN.VALUE=numeric(1))) + correctionFactor <- sqrt( nWithinGroups / (nWithinGroups-1) ) + + # Apply the correction factor + ndatac$sd <- ndatac$sd * correctionFactor + ndatac$se <- ndatac$se * correctionFactor + ndatac$ci <- ndatac$ci * correctionFactor + + # Combine the un-normed means with the normed results + merge(datac, ndatac) +} + +dfc <- summarySE(df, measurevar="len", groupvars=c("supp","dose")) +# supp dose N len sd se ci +# OJ 0.5 10 13.23 4.459709 1.4102837 3.190283 +# OJ 1.0 10 22.70 3.910953 1.2367520 2.797727 +# OJ 2.0 10 26.06 2.655058 0.8396031 1.899314 +# VC 0.5 10 7.98 2.746634 0.8685620 1.964824 +# VC 1.0 10 16.77 2.515309 0.7954104 1.799343 +# VC 2.0 10 26.14 4.797731 1.5171757 3.432090 + +# Standard error of the mean +g <- ggplot(dfc, aes(x=dose, y=len, colour=supp)) + + geom_errorbar(aes(ymin=len-se, ymax=len+se), width=.1) + + geom_line() + + geom_point() + +## TODO: uncomment when fixed +# save_outputs(g, "means-and-error-bars/basic-error-bars", file_prefix="") + +# The errorbars overlapped, so use position_dodge to move them horizontally +pd <- position_dodge(.1) # move them .05 to the left and right + +g <- ggplot(dfc, aes(x=dose, y=len, colour=supp)) + + geom_errorbar(aes(ymin=len-se, ymax=len+se), width=.1, position=pd) + + geom_line(position=pd) + + geom_point(position=pd) + +## TODO: uncomment when fixed +# save_outputs(g, "means-and-error-bars/error-bars-dodged-position", file_prefix="") + +# Use 95% confidence interval instead of SEM +g <- ggplot(dfc, aes(x=dose, y=len, colour=supp)) + + geom_errorbar(aes(ymin=len-ci, ymax=len+ci), width=.1, position=pd) + + geom_line(position=pd) + + geom_point(position=pd) + +## TODO: uncomment when fixed +# save_outputs(g, "means-and-error-bars/error-bars-95-confidence", file_prefix="") + +# Black error bars - notice the mapping of "group=supp" -- without it, the error +# bars won"t be dodged! +g <- ggplot(dfc, aes(x=dose, y=len, colour=supp, group=supp)) + + geom_errorbar(aes(ymin=len-ci, ymax=len+ci), colour="black", width=.1, position=pd) + + geom_line(position=pd) + + geom_point(position=pd, size=3) +## TODO: uncomment when fixed +# save_outputs(g, "means-and-error-bars/black-error-bars", file_prefix="") + +g <- ggplot(dfc, aes(x=dose, y=len, colour=supp, group=supp)) + + geom_errorbar(aes(ymin=len-se, ymax=len+se), colour="black", width=.1, position=pd) + + geom_line(position=pd) + + geom_point(position=pd, size=3, shape=21, fill="white") + # 21 is filled circle + xlab("Dose (mg)") + + ylab("Tooth length") + + scale_colour_hue(name="Supplement type", # Legend label, use darker colors + breaks=c("OJ", "VC"), + labels=c("Orange juice", "Ascorbic acid"), + l=40) + # Use darker colors, lightness=40 + ggtitle("The Effect of Vitamin C on\nTooth Growth in Guinea Pigs") + + scale_y_continuous(limits=c(0, max(dfc$len + dfc$se)), # Set y range + breaks=0:20*4) + # Set tick every 4 + theme_bw() + + theme(legend.justification=c(1,0), legend.position=c(1,0)) # Position legend in bottom right +## TODO: uncomment when fixed +# save_outputs(g, "means-and-error-bars/fully-styled-error-bars", file_prefix="") + +# Use dose as a factor rather than numeric +dfc2 <- dfc +dfc2$dose <- factor(dfc2$dose) + +# Error bars represent standard error of the mean +g <- ggplot(dfc2, aes(x=dose, y=len, fill=supp)) + + geom_bar(position=position_dodge(), stat="identity") + + geom_errorbar(aes(ymin=len-se, ymax=len+se), + width=.2, # Width of the error bars + position=position_dodge(.9)) +save_outputs(g, "means-and-error-bars/bar-graph-with-error-bars", file_prefix="") + +# Use 95% confidence intervals instead of SEM +g <- ggplot(dfc2, aes(x=dose, y=len, fill=supp)) + + geom_bar(position=position_dodge(), stat="identity") + + geom_errorbar(aes(ymin=len-ci, ymax=len+ci), + width=.2, # Width of the error bars + position=position_dodge(.9)) +save_outputs(g, "means-and-error-bars/bar-graph-with-95-error-bars", file_prefix="") + +g <- ggplot(dfc2, aes(x=dose, y=len, fill=supp)) + + geom_bar(position=position_dodge(), stat="identity", + colour="black", # Use black outlines, + size=.3) + # Thinner lines + geom_errorbar(aes(ymin=len-se, ymax=len+se), + size=.3, # Thinner lines + width=.2, + position=position_dodge(.9)) + + xlab("Dose (mg)") + + ylab("Tooth length") + + scale_fill_hue(name="Supplement type", # Legend label, use darker colors + breaks=c("OJ", "VC"), + labels=c("Orange juice", "Ascorbic acid")) + + ggtitle("The Effect of Vitamin C on\nTooth Growth in Guinea Pigs") + + scale_y_continuous(breaks=0:20*4) + + theme_bw() +save_outputs(g, "means-and-error-bars/bar-graph-with-error-bars-fully-styled", file_prefix="") + +dfw <- read.table(header=T, text=" + subject pretest posttest + 1 59.4 64.5 + 2 46.4 52.4 + 3 46.0 49.7 + 4 49.0 48.7 + 5 32.5 37.4 + 6 45.2 49.5 + 7 60.3 59.9 + 8 54.3 54.1 + 9 45.4 49.6 + 10 38.9 48.5 + ") + +# Treat subject ID as a factor +dfw$subject <- factor(dfw$subject) + +# Convert to long format +library(reshape2) +dfw.long <- melt(dfw, + id.vars = "subject", + measure.vars = c("pretest","posttest"), + variable.name = "condition") +# subject condition value +# 1 pretest 59.4 +# 2 pretest 46.4 +# 3 pretest 46.0 +# 4 pretest 49.0 +# 5 pretest 32.5 +# 6 pretest 45.2 +# 7 pretest 60.3 +# 8 pretest 54.3 +# 9 pretest 45.4 +# 10 pretest 38.9 +# 1 posttest 64.5 +# 2 posttest 52.4 +# 3 posttest 49.7 +# 4 posttest 48.7 +# 5 posttest 37.4 +# 6 posttest 49.5 +# 7 posttest 59.9 +# 8 posttest 54.1 +# 9 posttest 49.6 +# 10 posttest 48.5 + +dfwc <- summarySEwithin(dfw.long, measurevar="value", withinvars="condition", + idvar="subject", na.rm=FALSE, conf.interval=.95) +# condition N value value_norm sd se ci +# posttest 10 51.43 51.43 2.262361 0.7154214 1.618396 +# pretest 10 47.74 47.74 2.262361 0.7154214 1.618396 + +library(ggplot2) +# Make the graph with the 95% confidence interval +g <- ggplot(dfwc, aes(x=condition, y=value, group=1)) + + geom_line() + + geom_errorbar(width=.1, aes(ymin=value-ci, ymax=value+ci)) + + geom_point(shape=21, size=3, fill="white") + + ylim(40,60) +save_outputs(g, "means-and-error-bars/within-subject-error-bars", file_prefix="") + +# Use a consistent y range +ymax <- max(dfw.long$value) +ymin <- min(dfw.long$value) + +# Plot the individuals +g <- ggplot(dfw.long, aes(x=condition, y=value, colour=subject, group=subject)) + + geom_line() + geom_point(shape=21, fill="white") + + ylim(ymin,ymax) +save_outputs(g, "means-and-error-bars/multiple-lines-1", file_prefix="") + +# Create the normed version of the data +dfwNorm.long <- normDataWithin(data=dfw.long, idvar="subject", measurevar="value") + +# Plot the normed individuals +g <- ggplot(dfwNorm.long, aes(x=condition, y=value_norm, colour=subject, group=subject)) + + geom_line() + geom_point(shape=21, fill="white") + + ylim(ymin,ymax) +save_outputs(g, "means-and-error-bars/multiple-lines-2", file_prefix="") + +# Instead of summarySEwithin, use summarySE, which treats condition as though it were a between-subjects variable +dfwc.between <- summarySE(data=dfw.long, measurevar="value", groupvars="condition", na.rm=FALSE, conf.interval=.95) +# condition N value sd se ci +# pretest 10 47.74 8.598992 2.719240 6.151348 +# posttest 10 51.43 7.253972 2.293907 5.189179 + +# Show the between-S CI"s in red, and the within-S CI"s in black +g <- ggplot(dfwc.between, aes(x=condition, y=value, group=1)) + + geom_line() + + geom_errorbar(width=.1, aes(ymin=value-ci, ymax=value+ci), colour="red") + + geom_errorbar(width=.1, aes(ymin=value-ci, ymax=value+ci), data=dfwc) + + geom_point(shape=21, size=3, fill="white") + + ylim(ymin,ymax) +save_outputs(g, "means-and-error-bars/black-and-red-error-bars", file_prefix="") + +data <- read.table(header=T, text=" + Subject RoundMono SquareMono RoundColor SquareColor + 1 41 40 41 37 + 2 57 56 56 53 + 3 52 53 53 50 + 4 49 47 47 47 + 5 47 48 48 47 + 6 37 34 35 36 + 7 47 50 47 46 + 8 41 40 38 40 + 9 48 47 49 45 + 10 37 35 36 35 + 11 32 31 31 33 + 12 47 42 42 42 +") + +# Convert it to long format +library(reshape2) +data.long <- melt(data=data, id.var="Subject", + measure.vars=c("RoundMono", "SquareMono", "RoundColor", "SquareColor"), + variable.name="Condition") +names(data.long)[names(data.long)=="value"] <- "Time" + +# Split Condition column into Shape and ColorScheme +data.long$Shape <- NA +data.long$Shape[grepl("^Round", data.long$Condition)] <- "Round" +data.long$Shape[grepl("^Square", data.long$Condition)] <- "Square" +data.long$Shape <- factor(data.long$Shape) + +data.long$ColorScheme <- NA +data.long$ColorScheme[grepl("Mono$", data.long$Condition)] <- "Monochromatic" +data.long$ColorScheme[grepl("Color$", data.long$Condition)] <- "Colored" +data.long$ColorScheme <- factor(data.long$ColorScheme, levels=c("Monochromatic","Colored")) + +# Remove the Condition column now +data.long$Condition <- NULL + +data.long +# Subject Time Shape ColorScheme +# 1 41 Round Monochromatic +# 2 57 Round Monochromatic +# 3 52 Round Monochromatic +# ... +# 1 37 Square Colored +# 2 53 Square Colored +# ... +# 11 33 Square Colored +# 12 42 Square Colored + +datac <- summarySEwithin(data.long, measurevar="Time", withinvars=c("Shape","ColorScheme"), idvar="Subject") +# Shape ColorScheme N Time Time_norm sd se ci +# Round Colored 12 43.58333 43.58333 1.212311 0.3499639 0.7702654 +# Round Monochromatic 12 44.58333 44.58333 1.331438 0.3843531 0.8459554 +# Square Colored 12 42.58333 42.58333 1.461630 0.4219364 0.9286757 +# Square Monochromatic 12 43.58333 43.58333 1.261312 0.3641095 0.8013997 + +library(ggplot2) +g <- ggplot(datac, aes(x=Shape, y=Time, fill=ColorScheme)) + + geom_bar(position=position_dodge(.9), colour="black", stat="identity") + + geom_errorbar(position=position_dodge(.9), width=.25, aes(ymin=Time-ci, ymax=Time+ci)) + + coord_cartesian(ylim=c(40,46)) + + scale_fill_manual(values=c("#CCCCCC","#FFFFFF")) + + scale_y_continuous(breaks=seq(1:100)) + + theme_bw() + + geom_hline(yintercept=38) + +## TODO: uncomment when fixed +# save_outputs(g, "means-and-error-bars/two-subject-error-bars", file_prefix="") diff --git a/tests/cookbook-test-suite/multiple_graphs_on_one_page.r b/tests/cookbook-test-suite/multiple_graphs_on_one_page.r new file mode 100644 index 0000000000..3a0b9aa831 --- /dev/null +++ b/tests/cookbook-test-suite/multiple_graphs_on_one_page.r @@ -0,0 +1,77 @@ +# Multiple plot function +# +# ggplot objects can be passed in ..., or to plotlist (as a list of ggplot objects) +# - cols: Number of columns in layout +# - layout: A matrix specifying the layout. If present, 'cols' is ignored. +# +# If the layout is something like matrix(c(1,2,3,3), nrow=2, byrow=TRUE), +# then plot 1 will go in the upper left, 2 will go in the upper right, and +# 3 will go all the way across the bottom. +# +multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) { + require(grid) + + # Make a list from the ... arguments and plotlist + plots <- c(list(...), plotlist) + + numPlots = length(plots) + + # If layout is NULL, then use 'cols' to determine layout + if (is.null(layout)) { + # Make the panel + # ncol: Number of columns of plots + # nrow: Number of rows needed, calculated from # of cols + layout <- matrix(seq(1, cols * ceiling(numPlots/cols)), + ncol = cols, nrow = ceiling(numPlots/cols)) + } + + if (numPlots==1) { + print(plots[[1]]) + + } else { + # Set up the page + grid.newpage() + pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout)))) + + # Make each plot, in the correct location + for (i in 1:numPlots) { + # Get the i,j matrix positions of the regions that contain this subplot + matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE)) + + print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row, + layout.pos.col = matchidx$col)) + } + } +} + +library(ggplot2) + +# This example uses the ChickWeight dataset, which comes with ggplot2 +# First plot +p1 <- + ggplot(ChickWeight, aes(x=Time, y=weight, colour=Diet, group=Chick)) + + geom_line() + + ggtitle("Growth curve for individual chicks") + +# Second plot +p2 <- + ggplot(ChickWeight, aes(x=Time, y=weight, colour=Diet)) + + geom_point(alpha=.3) + + geom_smooth(alpha=.2, size=1) + + ggtitle("Fitted growth curve per diet") + +# Third plot +p3 <- + ggplot(subset(ChickWeight, Time==21), aes(x=weight, colour=Diet)) + + geom_density() + + ggtitle("Final weight, by diet") + +# Fourth plot +p4 <- + ggplot(subset(ChickWeight, Time==21), aes(x=weight, fill=Diet)) + + geom_histogram(colour="black", binwidth=50) + + facet_grid(Diet ~ .) + + ggtitle("Final weight, by diet") + + theme(legend.position="none") # No legend (redundant in this graph) + +multiplot(p1, p2, p3, p4, cols=2) diff --git a/tests/cookbook-test-suite/scatterplots.R b/tests/cookbook-test-suite/scatterplots.R new file mode 100644 index 0000000000..1f69246a2b --- /dev/null +++ b/tests/cookbook-test-suite/scatterplots.R @@ -0,0 +1,79 @@ +set.seed(955) +# Make some noisily increasing data +dat <- data.frame(cond = rep(c("A", "B"), each=10), + xvar = c(1.475957, -3.423712, 1.966129, 5.575364, 2.954719, 2.768286, 3.507499, 6.945000, 12.135050, 10.231673, 13.040393, 12.231689, 13.506993, 13.590874, 15.455178, 28.431185, 17.758937, 24.730797, 22.954238, 21.122766), + yvar = c(-1.315387, 3.323239, 4.452183, 4.597885, 5.697203, 5.991221, 5.764561, 10.163165, 14.805634, 11.447913, 12.163597, 10.930851, 13.491366, 11.800783, 19.246991, 13.870457, 11.031923, 22.700302, 24.877547, 22.520114)) +# cond xvar yvar +# A -4.252354091 3.473157275 +# A 1.702317971 0.005939612 +# ... +# B 17.793359218 19.718587761 +# B 19.319909163 19.647899863 + +g <- ggplot(dat, aes(x=xvar, y=yvar)) + + geom_point(shape=1) # Use hollow circles +save_outputs(g, "scatterplots/scatterplots with hollow circles", file_prefix="") + +g <- ggplot(dat, aes(x=xvar, y=yvar)) + + geom_point(shape=1) + # Use hollow circles + geom_smooth(method=lm) # Add linear regression line + # (by default includes 95% confidence region) +save_outputs(g, "scatterplots/scatterplots with shading and regression line", file_prefix="") + +g <- ggplot(dat, aes(x=xvar, y=yvar)) + + geom_point(shape=1) + # Use hollow circles + geom_smooth(method=lm, # Add linear regression line + se=FALSE) # Don"t add shaded confidence region +save_outputs(g, "scatterplots/scatterplots without shading and regression line", file_prefix="") + + +g <- ggplot(dat, aes(x=xvar, y=yvar)) + + geom_point(shape=1) + # Use hollow circles + geom_smooth() # Add a loess smoothed fit curve with confidence region +save_outputs(g, "scatterplots/scatterplots shading and smoothed fit curve", file_prefix="") + +# Set color by cond +g <- ggplot(dat, aes(x=xvar, y=yvar, color=cond)) + geom_point(shape=1) +save_outputs(g, "scatterplots/scatterplots colored by condition", file_prefix="") + +# Same, but with different colors and add regression lines +g <- ggplot(dat, aes(x=xvar, y=yvar, color=cond)) + geom_point(shape=1) + + scale_colour_hue(l=50) + # Use a slightly darker palette than normal + geom_smooth(method=lm, # Add linear regression lines + se=FALSE) # Don"t add shaded confidence region +save_outputs(g, "scatterplots/scatterplots colored by condition with regression line", file_prefix="") + +# Extend the regression lines beyond the domain of the data +g <- ggplot(dat, aes(x=xvar, y=yvar, color=cond)) + geom_point(shape=1) + + scale_colour_hue(l=50) + # Use a slightly darker palette than normal + geom_smooth(method=lm, # Add linear regression lines + se=FALSE, # Don"t add shaded confidence region + fullrange=T) # Extend regression lines +save_outputs(g, "scatterplots/scatterplots colored by condition with extended regression line", file_prefix="") + +# Set shape by cond +g <- ggplot(dat, aes(x=xvar, y=yvar, shape=cond)) + geom_point() +save_outputs(g, "scatterplots/scatterplots shaped by condition", file_prefix="") + +# Same, but with different shapes +g <- ggplot(dat, aes(x=xvar, y=yvar, shape=cond)) + geom_point() + + scale_shape_manual(values=c(1,2)) # Use a hollow circle and triangle +save_outputs(g, "scatterplots/scatterplots hollow shapes by condition", file_prefix="") + +# Round xvar and yvar to the nearest 5 +dat$xrnd <- round(dat$xvar/5)*5 +dat$yrnd <- round(dat$yvar/5)*5 + +# Make each dot partially transparent, with 1/4 opacity +# For heavy overplotting, try using smaller values +g <- ggplot(dat, aes(x=xrnd, y=yrnd)) + + geom_point(shape=19, # Use solid circles + alpha=1/4) # 1/4 opacity +save_outputs(g, "scatterplots/scatterplots with overlapped points", file_prefix="") + +# Jitter 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instead of \n +bp3 <- bp + ggtitle("Plant growth with\ndifferent treatments") +save_outputs(bp3, "titles/graph with multi-line title", file_prefix="") + +# Reduce line spacing and use bold text +bp4 <- bp + ggtitle("Plant growth with\ndifferent treatments") + + theme(plot.title = element_text(lineheight=.8, face="bold")) +save_outputs(bp4, "titles/shorter and bold title", file_prefix="") diff --git a/tests/cookbook-test-suite/titles/graph_with_multi-line_title-ggplot2.png b/tests/cookbook-test-suite/titles/graph_with_multi-line_title-ggplot2.png new file mode 100644 index 0000000000..e5e2bf1aa8 Binary files /dev/null and b/tests/cookbook-test-suite/titles/graph_with_multi-line_title-ggplot2.png differ diff --git a/tests/cookbook-test-suite/titles/graph_with_multi-line_title-plotly.png b/tests/cookbook-test-suite/titles/graph_with_multi-line_title-plotly.png new file mode 100644 index 0000000000..0b4df12e5c Binary files /dev/null and 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b/tests/cookbook-test-suite/titles/graph_with_multi-line_title.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/716 diff --git a/tests/cookbook-test-suite/titles/graph_with_title_-_1-ggplot2.png b/tests/cookbook-test-suite/titles/graph_with_title_-_1-ggplot2.png new file mode 100644 index 0000000000..e8720b24dc Binary files /dev/null and b/tests/cookbook-test-suite/titles/graph_with_title_-_1-ggplot2.png differ diff --git a/tests/cookbook-test-suite/titles/graph_with_title_-_1-plotly.png b/tests/cookbook-test-suite/titles/graph_with_title_-_1-plotly.png new file mode 100644 index 0000000000..fee25db79f Binary files /dev/null and b/tests/cookbook-test-suite/titles/graph_with_title_-_1-plotly.png differ diff --git a/tests/cookbook-test-suite/titles/graph_with_title_-_1.json b/tests/cookbook-test-suite/titles/graph_with_title_-_1.json new file mode 100644 index 0000000000..970e72a41e --- /dev/null +++ b/tests/cookbook-test-suite/titles/graph_with_title_-_1.json @@ -0,0 +1,101 @@ +{ + "data": [ 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true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "legend": { + "x": 100, + "y": 0.5, + "font": { + "family": "" + }, + "bgcolor": "rgb(255,255,255)", + "bordercolor": "transparent" + }, + "margin": { + "r": 10 + }, + "paper_bgcolor": "rgb(255,255,255)", + "plot_bgcolor": "rgb(229,229,229)" + } +} diff --git a/tests/cookbook-test-suite/titles/no_title.url b/tests/cookbook-test-suite/titles/no_title.url new file mode 100644 index 0000000000..0b5a6faab5 --- /dev/null +++ b/tests/cookbook-test-suite/titles/no_title.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/713 diff --git a/tests/cookbook-test-suite/titles/shorter_and_bold_title-ggplot2.png b/tests/cookbook-test-suite/titles/shorter_and_bold_title-ggplot2.png new file mode 100644 index 0000000000..fefd7c55bd Binary files /dev/null and b/tests/cookbook-test-suite/titles/shorter_and_bold_title-ggplot2.png differ diff --git a/tests/cookbook-test-suite/titles/shorter_and_bold_title-plotly.png b/tests/cookbook-test-suite/titles/shorter_and_bold_title-plotly.png new file mode 100644 index 0000000000..3ce012bf33 Binary files /dev/null and b/tests/cookbook-test-suite/titles/shorter_and_bold_title-plotly.png differ diff --git a/tests/cookbook-test-suite/titles/shorter_and_bold_title.json b/tests/cookbook-test-suite/titles/shorter_and_bold_title.json new file mode 100644 index 0000000000..4a83e66060 --- /dev/null +++ b/tests/cookbook-test-suite/titles/shorter_and_bold_title.json @@ -0,0 +1,101 @@ +{ + "data": [ + { + "y": [ + 4.17, + 5.58, + 5.18, + 6.11, + 4.5, + 4.61, + 5.17, + 4.53, + 5.33, + 5.14 + ], + "name": "ctrl", + "xaxis": "x1", + "yaxis": "y1", + "type": "box" + }, + { + "y": [ + 4.81, + 4.17, + 4.41, + 3.59, + 5.87, + 3.83, + 6.03, + 4.89, + 4.32, + 4.69 + ], + "name": "trt1", + "xaxis": "x1", + "yaxis": "y1", + "type": "box" + }, + { + "y": [ + 6.31, + 5.12, + 5.54, + 5.5, + 5.37, + 5.29, + 4.92, + 6.15, + 5.8, + 5.26 + ], + "name": "trt2", + "xaxis": "x1", + "yaxis": "y1", + "type": "box" + } + ], + "layout": { + "title": "Plant growth with\ndifferent treatments", + "titlefont": { + "family": "" + }, + "showlegend": true, + "xaxis": { + "title": "group", + "type": "category", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "yaxis": { + "title": "weight", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "legend": { + "x": 100, + "y": 0.5, + "font": { + "family": "" + }, + "bgcolor": "rgb(255,255,255)", + "bordercolor": "transparent" + }, + "margin": { + "r": 10 + }, + "paper_bgcolor": "rgb(255,255,255)", + "plot_bgcolor": "rgb(229,229,229)" + } +} diff --git a/tests/cookbook-test-suite/titles/shorter_and_bold_title.url b/tests/cookbook-test-suite/titles/shorter_and_bold_title.url new file mode 100644 index 0000000000..e66f049678 --- /dev/null +++ b/tests/cookbook-test-suite/titles/shorter_and_bold_title.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/717 diff --git a/tests/testthat/test-ggplot-abline-ggplot2.png b/tests/testthat/test-ggplot-abline-ggplot2.png new file mode 100644 index 0000000000..dcf5f3eac8 Binary files /dev/null and b/tests/testthat/test-ggplot-abline-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-abline-plotly.png b/tests/testthat/test-ggplot-abline-plotly.png new file mode 100644 index 0000000000..dc97fbfb1a Binary files /dev/null and b/tests/testthat/test-ggplot-abline-plotly.png differ diff --git a/tests/testthat/test-ggplot-abline.R b/tests/testthat/test-ggplot-abline.R index 578be96d24..9a017f4a46 100644 --- a/tests/testthat/test-ggplot-abline.R +++ b/tests/testthat/test-ggplot-abline.R @@ -17,7 +17,7 @@ test_that("Second trace be the a-b line", { expect_true(L[[2]]$x[2] >= 3.5) expect_identical(L[[2]]$mode, "lines") expect_identical(L[[2]]$line$shape, "linear") - expect_equal(L[[2]]$line$width, 4) + expect_equal(L[[2]]$line$width, 8) save_outputs(gg, "abline") }) diff --git a/tests/testthat/test-ggplot-abline.json b/tests/testthat/test-ggplot-abline.json index 54a1e681ad..d490f1d9c1 100644 --- a/tests/testthat/test-ggplot-abline.json +++ b/tests/testthat/test-ggplot-abline.json @@ -47,7 +47,7 @@ "mode": "lines", "line": { "color": "rgb(255,0,0)", - "width": 4, + "width": 8, "dash": "solid", "shape": "linear" }, diff --git a/tests/testthat/test-ggplot-area-ggplot2.png b/tests/testthat/test-ggplot-area-ggplot2.png new file mode 100644 index 0000000000..a41800fd86 Binary files /dev/null and b/tests/testthat/test-ggplot-area-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-bar-category-names-ggplot2.png b/tests/testthat/test-ggplot-bar-category-names-ggplot2.png new file mode 100644 index 0000000000..59662c4fff Binary files /dev/null and b/tests/testthat/test-ggplot-bar-category-names-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-bar-dates-ggplot2.png b/tests/testthat/test-ggplot-bar-dates-ggplot2.png new file mode 100644 index 0000000000..16f1992bee Binary files /dev/null and b/tests/testthat/test-ggplot-bar-dates-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-bar-dodge-ggplot2.png b/tests/testthat/test-ggplot-bar-dodge-ggplot2.png new file mode 100644 index 0000000000..482846c306 Binary files /dev/null and b/tests/testthat/test-ggplot-bar-dodge-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-bar-dodge-plotly.png b/tests/testthat/test-ggplot-bar-dodge-plotly.png new file mode 100644 index 0000000000..c7fb443691 Binary files /dev/null and b/tests/testthat/test-ggplot-bar-dodge-plotly.png differ diff --git a/tests/testthat/test-ggplot-bar-dodge.json b/tests/testthat/test-ggplot-bar-dodge.json index 51c9c3b067..f1e92ca7f0 100644 --- a/tests/testthat/test-ggplot-bar-dodge.json +++ b/tests/testthat/test-ggplot-bar-dodge.json @@ -2,7 +2,7 @@ "data": [ { "x": [ - null, + "Canada", "Germany" ], "y": [ @@ -19,7 +19,7 @@ }, { "x": [ - null, + "Canada", "USA" ], "y": [ diff --git a/tests/testthat/test-ggplot-bar-factor-category-ggplot2.png b/tests/testthat/test-ggplot-bar-factor-category-ggplot2.png new file mode 100644 index 0000000000..69802f9663 Binary files /dev/null and b/tests/testthat/test-ggplot-bar-factor-category-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-bar-identity-ggplot2.png b/tests/testthat/test-ggplot-bar-identity-ggplot2.png new file mode 100644 index 0000000000..cee31860b8 Binary files /dev/null and b/tests/testthat/test-ggplot-bar-identity-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-bar-stack-ggplot2.png b/tests/testthat/test-ggplot-bar-stack-ggplot2.png new file mode 100644 index 0000000000..dfe35aa6cb Binary files /dev/null and b/tests/testthat/test-ggplot-bar-stack-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-boxplot-datetime-ggplot2.png b/tests/testthat/test-ggplot-boxplot-datetime-ggplot2.png new file mode 100644 index 0000000000..d6900e254c Binary files /dev/null and b/tests/testthat/test-ggplot-boxplot-datetime-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-boxplot-ggplot2.png b/tests/testthat/test-ggplot-boxplot-ggplot2.png new file mode 100644 index 0000000000..c9dd70002a Binary files /dev/null and b/tests/testthat/test-ggplot-boxplot-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-boxplot.json b/tests/testthat/test-ggplot-boxplot.json index 0ce08ace3f..7583600512 100644 --- a/tests/testthat/test-ggplot-boxplot.json +++ b/tests/testthat/test-ggplot-boxplot.json @@ -1,102 +1,8 @@ -{ - "data": [ - { - "y": [ - 22.8, - 24.4, - 22.8, - 32.4, - 30.4, - 33.9, - 21.5, - 27.3, - 26, - 30.4, - 21.4 - ], - "name": "4", - "xaxis": "x1", - "yaxis": "y1", - "type": "box" - }, - { - "y": [ - 21, - 21, - 21.4, - 18.1, - 19.2, - 17.8, - 19.7 - ], - "name": "6", - "xaxis": "x1", - "yaxis": "y1", - "type": "box" - }, - { - "y": [ - 18.7, - 14.3, - 16.4, - 17.3, - 15.2, - 10.4, - 10.4, - 14.7, - 15.5, - 15.2, - 13.3, - 19.2, - 15.8, - 15 - ], - "name": "8", - "xaxis": "x1", - "yaxis": "y1", - "type": "box" - } - ], - "layout": { - "titlefont": { - "family": "" - }, - "showlegend": true, - "xaxis": { - "title": "factor(cyl)", - "type": "category", - "showgrid": true, - "zeroline": false, - "showline": false, - "ticks": "outside", - "showticklabels": true, - "tickcolor": "rgb(127,127,127)", - "gridcolor": "rgb(255,255,255)" - }, - "yaxis": { - "title": "mpg", - "type": "linear", - "showgrid": true, - "zeroline": false, - "showline": false, - "ticks": "outside", - "showticklabels": true, - "tickcolor": "rgb(127,127,127)", - "gridcolor": "rgb(255,255,255)" - }, - "legend": { - "x": 100, - "y": 0.5, - "font": { - "family": "" - }, - "bgcolor": "rgb(255,255,255)", - "bordercolor": "transparent" - }, - "margin": { - "r": 10 - }, - "paper_bgcolor": "rgb(255,255,255)", - "plot_bgcolor": "rgb(229,229,229)" - } -} + +504 Gateway Time-out + +

504 Gateway Time-out

+
nginx/1.4.6 (Ubuntu)
+ + + diff --git a/tests/testthat/test-ggplot-contour-ggplot2.png b/tests/testthat/test-ggplot-contour-ggplot2.png new file mode 100644 index 0000000000..ced39858b2 Binary files /dev/null and b/tests/testthat/test-ggplot-contour-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-contour.json b/tests/testthat/test-ggplot-contour.json index c2da9812ce..3a065e5ea7 100644 --- a/tests/testthat/test-ggplot-contour.json +++ b/tests/testthat/test-ggplot-contour.json @@ -5589,7 +5589,7 @@ }, "line": { "color": "rgb(0,0,0)", - "width": 2, + "width": 1, "dash": "solid", "shape": "linear" }, diff --git a/tests/testthat/test-ggplot-date-class-Date-ggplot2.png b/tests/testthat/test-ggplot-date-class-Date-ggplot2.png new file mode 100644 index 0000000000..a2c9a2e71c Binary files /dev/null and b/tests/testthat/test-ggplot-date-class-Date-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-date-irregular-time-series-ggplot2.png b/tests/testthat/test-ggplot-date-irregular-time-series-ggplot2.png new file mode 100644 index 0000000000..0a870b33f5 Binary files /dev/null and b/tests/testthat/test-ggplot-date-irregular-time-series-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-date-strings-ggplot2.png b/tests/testthat/test-ggplot-date-strings-ggplot2.png new file mode 100644 index 0000000000..8b9e5a00f2 Binary files /dev/null and b/tests/testthat/test-ggplot-date-strings-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-density-ggplot2.png b/tests/testthat/test-ggplot-density-ggplot2.png new file mode 100644 index 0000000000..aa3260e087 Binary files /dev/null and b/tests/testthat/test-ggplot-density-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-density2d-ggplot2.png b/tests/testthat/test-ggplot-density2d-ggplot2.png new file mode 100644 index 0000000000..b70292e8bc Binary files /dev/null and b/tests/testthat/test-ggplot-density2d-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-density2d.json b/tests/testthat/test-ggplot-density2d.json index fcb6d53ae5..9d825b89be 100644 --- a/tests/testthat/test-ggplot-density2d.json +++ b/tests/testthat/test-ggplot-density2d.json @@ -608,7 +608,7 @@ }, "line": { "color": "rgb(0,0,0)", - "width": 2, + "width": 1, "dash": "solid", "shape": "linear" }, diff --git a/tests/testthat/test-ggplot-errorbar-ggplot2.png b/tests/testthat/test-ggplot-errorbar-ggplot2.png new file mode 100644 index 0000000000..29ceeb8ce0 Binary files /dev/null and b/tests/testthat/test-ggplot-errorbar-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-errorbar-horizontal-ggplot2.png b/tests/testthat/test-ggplot-errorbar-horizontal-ggplot2.png new file mode 100644 index 0000000000..5ffa1859d4 Binary files /dev/null and b/tests/testthat/test-ggplot-errorbar-horizontal-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-heatmap-ggplot2.png b/tests/testthat/test-ggplot-heatmap-ggplot2.png new file mode 100644 index 0000000000..4793c9a7d1 Binary files /dev/null and b/tests/testthat/test-ggplot-heatmap-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-histogram-barmodestack-ggplot2.png b/tests/testthat/test-ggplot-histogram-barmodestack-ggplot2.png new file mode 100644 index 0000000000..1b001b511e Binary files /dev/null and b/tests/testthat/test-ggplot-histogram-barmodestack-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-histogram-barmodestack-plotly.png b/tests/testthat/test-ggplot-histogram-barmodestack-plotly.png new file mode 100644 index 0000000000..98ad52cfdc Binary files /dev/null and b/tests/testthat/test-ggplot-histogram-barmodestack-plotly.png differ diff --git a/tests/testthat/test-ggplot-histogram-barmodestack.json b/tests/testthat/test-ggplot-histogram-barmodestack.json index b492ba3eed..008c8ef835 100644 --- a/tests/testthat/test-ggplot-histogram-barmodestack.json +++ b/tests/testthat/test-ggplot-histogram-barmodestack.json @@ -2,12 +2,12 @@ "data": [ { "x": [ - 1, - 1, - 2, - 2, - 2, - 3 + "CDN", + "CDN", + "MEX", + "MEX", + "MEX", + "USA" ], "autobinx": true, "xaxis": "x1", @@ -57,7 +57,6 @@ }, "paper_bgcolor": "rgb(255,255,255)", "plot_bgcolor": "rgb(229,229,229)", - "barmode": "stack", - "bargap": 0 + "barmode": "stack" } } diff --git a/tests/testthat/test-ggplot-histogram-binwidth-ggplot2.png b/tests/testthat/test-ggplot-histogram-binwidth-ggplot2.png new file mode 100644 index 0000000000..11dab16aaa Binary files /dev/null and b/tests/testthat/test-ggplot-histogram-binwidth-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-histogram-binwidth-plotly.png b/tests/testthat/test-ggplot-histogram-binwidth-plotly.png new file mode 100644 index 0000000000..01ed891373 Binary files /dev/null and b/tests/testthat/test-ggplot-histogram-binwidth-plotly.png differ diff --git a/tests/testthat/test-ggplot-histogram-binwidth.json b/tests/testthat/test-ggplot-histogram-binwidth.json index 0848b057da..c998bfe48c 100644 --- a/tests/testthat/test-ggplot-histogram-binwidth.json +++ b/tests/testthat/test-ggplot-histogram-binwidth.json @@ -106,7 +106,6 @@ }, "paper_bgcolor": "rgb(255,255,255)", "plot_bgcolor": "rgb(229,229,229)", - "barmode": "stack", - "bargap": 0 + "barmode": "stack" } } diff --git a/tests/testthat/test-ggplot-histogram-dates-ggplot2.png b/tests/testthat/test-ggplot-histogram-dates-ggplot2.png new file mode 100644 index 0000000000..88425e98da Binary files /dev/null and b/tests/testthat/test-ggplot-histogram-dates-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-histogram-dates-plotly.png b/tests/testthat/test-ggplot-histogram-dates-plotly.png new file mode 100644 index 0000000000..877cf9cfdb Binary files /dev/null and b/tests/testthat/test-ggplot-histogram-dates-plotly.png differ diff --git a/tests/testthat/test-ggplot-histogram-dates.json b/tests/testthat/test-ggplot-histogram-dates.json index 5e2ffd7cc7..29b4be53b2 100644 --- a/tests/testthat/test-ggplot-histogram-dates.json +++ b/tests/testthat/test-ggplot-histogram-dates.json @@ -1,3 +1,13 @@ +<<<<<<< HEAD + +504 Gateway Time-out + +

504 Gateway Time-out

+
nginx/1.4.6 (Ubuntu)
+ + + +======= { "data": [ { @@ -57,7 +67,7 @@ }, "paper_bgcolor": "rgb(255,255,255)", "plot_bgcolor": "rgb(229,229,229)", - "barmode": "stack", - "bargap": 0 + "barmode": "stack" } } +>>>>>>> FETCH_HEAD diff --git a/tests/testthat/test-ggplot-hline-ggplot2.png b/tests/testthat/test-ggplot-hline-ggplot2.png new file mode 100644 index 0000000000..c74fa0a81f Binary files /dev/null and b/tests/testthat/test-ggplot-hline-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-hline-multiple-ggplot2.png b/tests/testthat/test-ggplot-hline-multiple-ggplot2.png new file mode 100644 index 0000000000..27e8bd5a76 Binary files /dev/null and b/tests/testthat/test-ggplot-hline-multiple-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-hline-multiple-plotly.png b/tests/testthat/test-ggplot-hline-multiple-plotly.png new file mode 100644 index 0000000000..4fcaaae7f4 Binary files /dev/null and b/tests/testthat/test-ggplot-hline-multiple-plotly.png differ diff --git a/tests/testthat/test-ggplot-hline-multiple.json b/tests/testthat/test-ggplot-hline-multiple.json new file mode 100644 index 0000000000..310d065a7f --- /dev/null +++ b/tests/testthat/test-ggplot-hline-multiple.json @@ -0,0 +1,144 @@ +{ + "data": [ + { + "x": [ + 0, + 0.5, + 1, + 1.5, + 2, + 2.5, + 3, + 3.5 + ], + "y": [ + 0, + 0.475, + 0.95, + 1.4249999999999998, + 1.9, + 2.375, + 2.8499999999999996, + 3.3249999999999997 + ], + "mode": "markers", + "marker": { + "color": "rgb(0,0,0)", + "size": 10, + "symbol": "circle", + "opacity": 1, + "sizeref": 1, + "sizemode": "area" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + }, + { + "x": [ + -0.17500000000000002, + 3.675 + ], + "y": [ + 1, + 1 + ], + "mode": "lines", + "line": { + "color": "rgb(255,0,0)", + "width": 6, + "dash": "solid", + "shape": "linear" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + }, + { + "x": [ + -0.17500000000000002, + 3.675 + ], + "y": [ + 2, + 2 + ], + "mode": "lines", + "line": { + "color": "rgb(255,0,0)", + "width": 6, + "dash": "solid", + "shape": "linear" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + }, + { + "x": [ + -0.17500000000000002, + 3.675 + ], + "y": [ + 3, + 3 + ], + "mode": "lines", + "line": { + "color": "rgb(255,0,0)", + "width": 6, + "dash": "solid", + "shape": "linear" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + } + ], + "layout": { + "titlefont": { + "family": "" + }, + "showlegend": true, + "xaxis": { + "title": "x1", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "yaxis": { + "title": "x2", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "legend": { + "x": 100, + "y": 0.5, + "font": { + "family": "" + }, + "bgcolor": "rgb(255,255,255)", + "bordercolor": "transparent" + }, + "margin": { + "r": 10 + }, + "paper_bgcolor": "rgb(255,255,255)", + "plot_bgcolor": "rgb(229,229,229)" + } +} diff --git a/tests/testthat/test-ggplot-hline-multiple.url b/tests/testthat/test-ggplot-hline-multiple.url new file mode 100644 index 0000000000..25a0d4a49c --- /dev/null +++ b/tests/testthat/test-ggplot-hline-multiple.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/753 diff --git a/tests/testthat/test-ggplot-hline-plotly.png b/tests/testthat/test-ggplot-hline-plotly.png new file mode 100644 index 0000000000..827f9aa5ff Binary files /dev/null and b/tests/testthat/test-ggplot-hline-plotly.png differ diff --git a/tests/testthat/test-ggplot-hline.R b/tests/testthat/test-ggplot-hline.R index 665162ad16..b1eaa09af8 100644 --- a/tests/testthat/test-ggplot-hline.R +++ b/tests/testthat/test-ggplot-hline.R @@ -17,7 +17,7 @@ test_that("second trace be the hline", { expect_true(L[[2]]$x[2] >= 3.5) expect_identical(L[[2]]$mode, "lines") expect_identical(L[[2]]$line$shape, "linear") - expect_equal(L[[2]]$line$width, 3) + expect_equal(L[[2]]$line$width, 6) expect_identical(L[[2]]$line$color, "rgb(0,255,0)") save_outputs(gg, "hline") @@ -36,7 +36,7 @@ test_that("vector yintercept results in multiple horizontal lines", { expect_true(L[[4]]$x[2] >= 3.325) expect_identical(L[[3]]$mode, "lines") expect_identical(L[[3]]$line$shape, "linear") - expect_equal(L[[3]]$line$width, 3) + expect_equal(L[[3]]$line$width, 6) expect_identical(L[[3]]$line$color, "rgb(255,0,0)") save_outputs(gg, "hline-multiple") diff --git a/tests/testthat/test-ggplot-hline.json b/tests/testthat/test-ggplot-hline.json index 1a535d78df..621e8f8a31 100644 --- a/tests/testthat/test-ggplot-hline.json +++ b/tests/testthat/test-ggplot-hline.json @@ -47,7 +47,7 @@ "mode": "lines", "line": { "color": "rgb(0,255,0)", - "width": 3, + "width": 6, "dash": "solid", "shape": "linear" }, diff --git a/tests/testthat/test-ggplot-labels-angles-ggplot2.png b/tests/testthat/test-ggplot-labels-angles-ggplot2.png new file mode 100644 index 0000000000..4094e4fc6d Binary files /dev/null and b/tests/testthat/test-ggplot-labels-angles-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-labels-ggtitle-ggplot2.png b/tests/testthat/test-ggplot-labels-ggtitle-ggplot2.png new file mode 100644 index 0000000000..e49f787061 Binary files /dev/null and b/tests/testthat/test-ggplot-labels-ggtitle-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-labels-scale_x_continuous_name-ggplot2.png b/tests/testthat/test-ggplot-labels-scale_x_continuous_name-ggplot2.png new file mode 100644 index 0000000000..6db37738e7 Binary files /dev/null and b/tests/testthat/test-ggplot-labels-scale_x_continuous_name-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-labels-ylab-ggplot2.png b/tests/testthat/test-ggplot-labels-ylab-ggplot2.png new file mode 100644 index 0000000000..bae55322c9 Binary files /dev/null and b/tests/testthat/test-ggplot-labels-ylab-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-legend-hidden-ggplot2.png b/tests/testthat/test-ggplot-legend-hidden-ggplot2.png new file mode 100644 index 0000000000..5c23c4a4fe Binary files /dev/null and b/tests/testthat/test-ggplot-legend-hidden-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-legend-order-ggplot2.png b/tests/testthat/test-ggplot-legend-order-ggplot2.png new file mode 100644 index 0000000000..787d251cf9 Binary files /dev/null and b/tests/testthat/test-ggplot-legend-order-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-linetype-colors-ggplot2.png b/tests/testthat/test-ggplot-linetype-colors-ggplot2.png new file mode 100644 index 0000000000..10ad93981c Binary files /dev/null and b/tests/testthat/test-ggplot-linetype-colors-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-linetype-types-ggplot2.png b/tests/testthat/test-ggplot-linetype-types-ggplot2.png new file mode 100644 index 0000000000..f0e7d87878 Binary files /dev/null and b/tests/testthat/test-ggplot-linetype-types-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-names-ggplot2.png b/tests/testthat/test-ggplot-names-ggplot2.png new file mode 100644 index 0000000000..e5fa835503 Binary files /dev/null and b/tests/testthat/test-ggplot-names-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-polygons-borders-ggplot2.png b/tests/testthat/test-ggplot-polygons-borders-ggplot2.png new file mode 100644 index 0000000000..137335aaca Binary files /dev/null and b/tests/testthat/test-ggplot-polygons-borders-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-polygons-dashed-ggplot2.png b/tests/testthat/test-ggplot-polygons-dashed-ggplot2.png new file mode 100644 index 0000000000..11a7ddaf18 Binary files /dev/null and b/tests/testthat/test-ggplot-polygons-dashed-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-polygons-dashed-plotly.png b/tests/testthat/test-ggplot-polygons-dashed-plotly.png new file mode 100644 index 0000000000..0cd602ff57 Binary files /dev/null and b/tests/testthat/test-ggplot-polygons-dashed-plotly.png differ diff --git a/tests/testthat/test-ggplot-polygons-dashed.json b/tests/testthat/test-ggplot-polygons-dashed.json index d07b9f6810..7d03e964f6 100644 --- a/tests/testthat/test-ggplot-polygons-dashed.json +++ b/tests/testthat/test-ggplot-polygons-dashed.json @@ -20,7 +20,7 @@ "line": { "color": "rgb(0,0,255)", "width": 2, - "dash": "dotted", + "dash": "dot", "shape": "linear" }, "fill": "tonextx", diff --git a/tests/testthat/test-ggplot-polygons-filled-polygons-ggplot2.png b/tests/testthat/test-ggplot-polygons-filled-polygons-ggplot2.png new file mode 100644 index 0000000000..dd19b5aa03 Binary files /dev/null and b/tests/testthat/test-ggplot-polygons-filled-polygons-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-polygons-halloween-ggplot2.png b/tests/testthat/test-ggplot-polygons-halloween-ggplot2.png new file mode 100644 index 0000000000..294a8f02c7 Binary files /dev/null and b/tests/testthat/test-ggplot-polygons-halloween-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-polygons-halloween-plotly.png b/tests/testthat/test-ggplot-polygons-halloween-plotly.png new file mode 100644 index 0000000000..4fa5264c00 Binary files /dev/null and b/tests/testthat/test-ggplot-polygons-halloween-plotly.png differ diff --git a/tests/testthat/test-ggplot-polygons-halloween.json b/tests/testthat/test-ggplot-polygons-halloween.json index 260a25624d..7a59d38eb5 100644 --- a/tests/testthat/test-ggplot-polygons-halloween.json +++ b/tests/testthat/test-ggplot-polygons-halloween.json @@ -19,7 +19,7 @@ "name": "name1", "line": { "color": "rgb(0,0,0)", - "width": 2, + "width": 4, "dash": "solid", "shape": "linear" }, @@ -48,7 +48,7 @@ "name": "name2", "line": { "color": "rgb(0,0,0)", - "width": 3, + "width": 6, "dash": "solid", "shape": "linear" }, diff --git a/tests/testthat/test-ggplot-polygons-springgreen3-ggplot2.png b/tests/testthat/test-ggplot-polygons-springgreen3-ggplot2.png new file mode 100644 index 0000000000..838510756c Binary files /dev/null and b/tests/testthat/test-ggplot-polygons-springgreen3-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-polygons-springgreen3-lab-ggplot2.png b/tests/testthat/test-ggplot-polygons-springgreen3-lab-ggplot2.png new file mode 100644 index 0000000000..ed64bc3c2d Binary files /dev/null and b/tests/testthat/test-ggplot-polygons-springgreen3-lab-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-polygons.R b/tests/testthat/test-ggplot-polygons.R index 3cc355c4dc..92a34fdff3 100644 --- a/tests/testthat/test-ggplot-polygons.R +++ b/tests/testthat/test-ggplot-polygons.R @@ -63,7 +63,7 @@ test_that("filled polygons become several traces", { expect_equal(info[[1]]$y, c(10, 10, 11, 11, 10)) expect_equal(info[[1]]$fillcolor, toRGB("red")) expect_equal(info[[1]]$line$color, toRGB("blue")) - expect_equal(info[[1]]$line$dash, "dotted") + expect_equal(info[[1]]$line$dash, "dot") expect_equal(info[[1]]$name, "name1") expect_equal(info[[2]]$x, c(12, 13, 13, 12, 12)) expect_equal(info[[2]]$y, c(10, 10, 11, 11, 10)) @@ -83,12 +83,12 @@ test_that("filled polygons become several traces", { expect_equal(info[[1]]$x, c(10, 11, 11, 10, 10)) expect_equal(info[[1]]$y, c(10, 10, 11, 11, 10)) expect_equal(info[[1]]$fillcolor, toRGB("orange")) - expect_equal(info[[1]]$line$width, 2) + expect_equal(info[[1]]$line$width, 4) expect_equal(info[[1]]$name, "name1") expect_equal(info[[2]]$x, c(12, 13, 13, 12, 12)) expect_equal(info[[2]]$y, c(10, 10, 11, 11, 10)) expect_equal(info[[2]]$fillcolor, toRGB("orange")) - expect_equal(info[[2]]$line$width, 3) + expect_equal(info[[2]]$line$width, 6) expect_equal(info[[2]]$name, "name2") diff --git a/tests/testthat/test-ggplot-ribbon-ggplot2.png b/tests/testthat/test-ggplot-ribbon-ggplot2.png new file mode 100644 index 0000000000..706cb9243c Binary files /dev/null and b/tests/testthat/test-ggplot-ribbon-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-segment-ggplot2.png b/tests/testthat/test-ggplot-segment-ggplot2.png new file mode 100644 index 0000000000..f58022c445 Binary files /dev/null and b/tests/testthat/test-ggplot-segment-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-size-global-scaling-ggplot2.png b/tests/testthat/test-ggplot-size-global-scaling-ggplot2.png new file mode 100644 index 0000000000..008a086dd8 Binary files /dev/null and b/tests/testthat/test-ggplot-size-global-scaling-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-size-is-a-vector-ggplot2.png b/tests/testthat/test-ggplot-size-is-a-vector-ggplot2.png new file mode 100644 index 0000000000..9216fdc6ba Binary files /dev/null and b/tests/testthat/test-ggplot-size-is-a-vector-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-size-not-a-vector-ggplot2.png b/tests/testthat/test-ggplot-size-not-a-vector-ggplot2.png new file mode 100644 index 0000000000..6fae5f8ef2 Binary files /dev/null and b/tests/testthat/test-ggplot-size-not-a-vector-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-stack-ggplot2.png b/tests/testthat/test-ggplot-stack-ggplot2.png new file mode 100644 index 0000000000..7ac5d827bf Binary files /dev/null and b/tests/testthat/test-ggplot-stack-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-step-gg.hv-ggplot2.png b/tests/testthat/test-ggplot-step-gg.hv-ggplot2.png new file mode 100644 index 0000000000..dc966f4e7f Binary files /dev/null and b/tests/testthat/test-ggplot-step-gg.hv-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-step-gg.hv.json b/tests/testthat/test-ggplot-step-gg.hv.json index ea1c67ce5d..983ab8e6af 100644 --- a/tests/testthat/test-ggplot-step-gg.hv.json +++ b/tests/testthat/test-ggplot-step-gg.hv.json @@ -23,7 +23,7 @@ "name": "1", "line": { "color": "rgb(248,118,109)", - "width": 2, + "width": 1, "dash": "solid", "shape": "hv" }, @@ -54,7 +54,7 @@ "name": "2", "line": { "color": "rgb(0,191,196)", - "width": 2, + "width": 1, "dash": "solid", "shape": "hv" }, diff --git a/tests/testthat/test-ggplot-step-gg.hvh.json b/tests/testthat/test-ggplot-step-gg.hvh.json index 46c1811d50..9a6205ec64 100644 --- a/tests/testthat/test-ggplot-step-gg.hvh.json +++ b/tests/testthat/test-ggplot-step-gg.hvh.json @@ -23,7 +23,7 @@ "name": "1", "line": { "color": "rgb(248,118,109)", - "width": 2, + "width": 1, "dash": "solid", "shape": "hvh" }, @@ -54,7 +54,7 @@ "name": "2", "line": { "color": "rgb(0,191,196)", - "width": 2, + "width": 1, "dash": "solid", "shape": "hvh" }, diff --git a/tests/testthat/test-ggplot-step-gg.linear-geom_line-ggplot2.png b/tests/testthat/test-ggplot-step-gg.linear-geom_line-ggplot2.png new file mode 100644 index 0000000000..5d77249f92 Binary files /dev/null and b/tests/testthat/test-ggplot-step-gg.linear-geom_line-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-step-gg.linear-geom_path-ggplot2.png b/tests/testthat/test-ggplot-step-gg.linear-geom_path-ggplot2.png new file mode 100644 index 0000000000..5d77249f92 Binary files /dev/null and b/tests/testthat/test-ggplot-step-gg.linear-geom_path-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-step-gg.vh-ggplot2.png b/tests/testthat/test-ggplot-step-gg.vh-ggplot2.png new file mode 100644 index 0000000000..93c616d26b Binary files /dev/null and b/tests/testthat/test-ggplot-step-gg.vh-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-step-gg.vh.json b/tests/testthat/test-ggplot-step-gg.vh.json index 96a4ebce32..6042964400 100644 --- a/tests/testthat/test-ggplot-step-gg.vh.json +++ b/tests/testthat/test-ggplot-step-gg.vh.json @@ -23,7 +23,7 @@ "name": "1", "line": { "color": "rgb(248,118,109)", - "width": 2, + "width": 1, "dash": "solid", "shape": "vh" }, @@ -54,7 +54,7 @@ "name": "2", "line": { "color": "rgb(0,191,196)", - "width": 2, + "width": 1, "dash": "solid", "shape": "vh" }, diff --git a/tests/testthat/test-ggplot-step-gg.vhv.json b/tests/testthat/test-ggplot-step-gg.vhv.json index 0bdf1b4478..81a14d9c74 100644 --- a/tests/testthat/test-ggplot-step-gg.vhv.json +++ b/tests/testthat/test-ggplot-step-gg.vhv.json @@ -23,7 +23,7 @@ "name": "1", "line": { "color": "rgb(248,118,109)", - "width": 2, + "width": 1, "dash": "solid", "shape": "vhv" }, @@ -54,7 +54,7 @@ "name": "2", "line": { "color": "rgb(0,191,196)", - "width": 2, + "width": 1, "dash": "solid", "shape": "vhv" }, diff --git a/tests/testthat/test-ggplot-text-ggplot2.png b/tests/testthat/test-ggplot-text-ggplot2.png new file mode 100644 index 0000000000..0dec620209 Binary files /dev/null and b/tests/testthat/test-ggplot-text-ggplot2.png differ diff --git a/tests/testthat/test-ggplot-theme-background-ggplot2.png b/tests/testthat/test-ggplot-theme-background-ggplot2.png new file mode 100644 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index 0000000000..4739864b93 Binary files /dev/null and b/tests/testthat/test-ggplot-vline-multiple-plotly.png differ diff --git a/tests/testthat/test-ggplot-vline-multiple.json b/tests/testthat/test-ggplot-vline-multiple.json new file mode 100644 index 0000000000..cb284d9fc8 --- /dev/null +++ b/tests/testthat/test-ggplot-vline-multiple.json @@ -0,0 +1,123 @@ +{ + "data": [ + { + "x": [ + 0, + 0.5, + 1, + 1.5, + 2, + 2.5, + 3, + 3.5 + ], + "y": [ + 0, + 0.475, + 0.95, + 1.4249999999999998, + 1.9, + 2.375, + 2.8499999999999996, + 3.3249999999999997 + ], + "mode": "markers", + "marker": { + "color": "rgb(0,0,0)", + "size": 10, + "symbol": "circle", + "opacity": 1, + "sizeref": 1, + "sizemode": "area" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + }, + { + "x": [ + 1, + 1 + ], + "y": [ + -0.16625, + 3.49125 + ], + "mode": "lines", + "line": { + "color": "rgb(0,0,255)", + "width": 6, + "dash": "solid", + "shape": "linear" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + }, + { + "x": [ + 2, + 2 + ], + "y": [ + -0.16625, + 3.49125 + ], + "mode": "lines", + "line": { + "color": "rgb(0,0,255)", + "width": 6, + "dash": "solid", + "shape": "linear" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + } + ], + "layout": { + "titlefont": { + "family": "" + }, + "showlegend": true, + "xaxis": { + "title": "x1", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "yaxis": { + "title": "x2", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "legend": { + "x": 100, + "y": 0.5, + "font": { + "family": "" + }, + "bgcolor": "rgb(255,255,255)", + "bordercolor": "transparent" + }, + "margin": { + "r": 10 + }, + "paper_bgcolor": "rgb(255,255,255)", + "plot_bgcolor": "rgb(229,229,229)" + } +} diff --git a/tests/testthat/test-ggplot-vline-multiple.url b/tests/testthat/test-ggplot-vline-multiple.url new file mode 100644 index 0000000000..4d76982988 --- /dev/null +++ b/tests/testthat/test-ggplot-vline-multiple.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/755 diff --git a/tests/testthat/test-ggplot-vline-plotly.png b/tests/testthat/test-ggplot-vline-plotly.png new file mode 100644 index 0000000000..0ba47eaddf Binary files /dev/null and b/tests/testthat/test-ggplot-vline-plotly.png differ diff --git a/tests/testthat/test-ggplot-vline.R b/tests/testthat/test-ggplot-vline.R index 369e77cdf3..94f2288ed5 100644 --- a/tests/testthat/test-ggplot-vline.R +++ b/tests/testthat/test-ggplot-vline.R @@ -17,7 +17,7 @@ test_that("second trace be the vline", { expect_true(L[[2]]$y[2] >= 3.325) expect_identical(L[[2]]$mode, "lines") expect_identical(L[[2]]$line$shape, "linear") - expect_equal(L[[2]]$line$width, 3) + expect_equal(L[[2]]$line$width, 6) expect_identical(L[[2]]$line$color, "rgb(0,255,0)") save_outputs(gg, "vline") @@ -35,7 +35,7 @@ test_that("vector xintercept results in multiple vertical lines", { expect_true(L[[3]]$y[2] >= 3.325) expect_identical(L[[3]]$mode, "lines") expect_identical(L[[3]]$line$shape, "linear") - expect_equal(L[[3]]$line$width, 3) + expect_equal(L[[3]]$line$width, 6) expect_identical(L[[3]]$line$color, "rgb(0,0,255)") save_outputs(gg, "vline-multiple") diff --git a/tests/testthat/test-ggplot-vline.json b/tests/testthat/test-ggplot-vline.json new file mode 100644 index 0000000000..301c2d401e --- /dev/null +++ b/tests/testthat/test-ggplot-vline.json @@ -0,0 +1,102 @@ +{ + "data": [ + { + "x": [ + 0, + 0.5, + 1, + 1.5, + 2, + 2.5, + 3, + 3.5 + ], + "y": [ + 0, + 0.475, + 0.95, + 1.4249999999999998, + 1.9, + 2.375, + 2.8499999999999996, + 3.3249999999999997 + ], + "mode": "markers", + "marker": { + "color": "rgb(0,0,0)", + "size": 10, + "symbol": "circle", + "opacity": 1, + "sizeref": 1, + "sizemode": "area" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + }, + { + "x": [ + 1.1, + 1.1 + ], + "y": [ + -0.16625, + 3.49125 + ], + "mode": "lines", + "line": { + "color": "rgb(0,255,0)", + "width": 6, + "dash": "solid", + "shape": "linear" + }, + "xaxis": "x1", + "yaxis": "y1", + "showlegend": false, + "type": "scatter" + } + ], + "layout": { + "titlefont": { + "family": "" + }, + "showlegend": true, + "xaxis": { + "title": "x1", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "yaxis": { + "title": "x2", + "type": "linear", + "showgrid": true, + "zeroline": false, + "showline": false, + "ticks": "outside", + "showticklabels": true, + "tickcolor": "rgb(127,127,127)", + "gridcolor": "rgb(255,255,255)" + }, + "legend": { + "x": 100, + "y": 0.5, + "font": { + "family": "" + }, + "bgcolor": "rgb(255,255,255)", + "bordercolor": "transparent" + }, + "margin": { + "r": 10 + }, + "paper_bgcolor": "rgb(255,255,255)", + "plot_bgcolor": "rgb(229,229,229)" + } +} diff --git a/tests/testthat/test-ggplot-vline.url b/tests/testthat/test-ggplot-vline.url new file mode 100644 index 0000000000..7630d6db4d --- /dev/null +++ b/tests/testthat/test-ggplot-vline.url @@ -0,0 +1 @@ +https://plot.ly/~TestBot/754