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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,219 @@ | ||
| context("cookbook axes") | ||
| bp <- ggplot(PlantGrowth, aes(x=group, y=weight)) + | ||
| geom_boxplot() | ||
| expect_traces <- function(gg, n.traces, name){ | ||
| stopifnot(is.ggplot(gg)) | ||
| stopifnot(is.numeric(n.traces)) | ||
| save_outputs(gg, paste0("cookbook-axes-", name)) | ||
| L <- gg2list(gg) | ||
| is.trace <- names(L) == "" | ||
| all.traces <- L[is.trace] | ||
| no.data <- sapply(all.traces, function(tr) { | ||
| is.null(tr[["x"]]) && is.null(tr[["y"]]) | ||
| }) | ||
| has.data <- all.traces[!no.data] | ||
| expect_equal(length(has.data), n.traces) | ||
| list(traces=has.data, kwargs=L$kwargs) | ||
| } | ||
| # Reverse the order of a discrete-valued axis | ||
| # Get the levels of the factor | ||
| flevels <- levels(PlantGrowth$group) | ||
| # "ctrl" "trt1" "trt2" | ||
| # Reverse the order | ||
| flevels <- rev(flevels) | ||
| # "trt2" "trt1" "ctrl" | ||
| bp.flevels <- bp + scale_x_discrete(limits=flevels) | ||
| test_that("factor levels determine tick order", { | ||
| info <- expect_traces(bp.flevels, 3, "flevels") | ||
| trace.names <- sapply(info$traces, "[[", "name") | ||
| expect_identical(as.character(trace.names), | ||
| c("trt2", "trt1", "ctrl")) | ||
| }) | ||
| ## These two do the same thing; all data points outside the graphing | ||
| ## range are dropped, resulting in a misleading box plot. | ||
| bp.ylim.hide <- bp + ylim(5, 7.5) | ||
| test_that("ylim hides points", { | ||
| info <- expect_traces(bp.ylim.hide, 3, "ylim.hide") | ||
| }) | ||
| bp.scale.hide <- bp + scale_y_continuous(limits=c(5, 7.5)) | ||
| test_that("scale_y(limits) hides points", { | ||
| info <- expect_traces(bp.scale.hide, 3, "scale.hide") | ||
| expect_equal(info$kwargs$layout$yaxis$range, c(5, 7.5)) | ||
| }) | ||
| bp.coord <- bp + coord_cartesian(ylim=c(5, 7.5)) | ||
| test_that("Using coord_cartesian zooms into the area", { | ||
| info <- expect_traces(bp.coord, 3, "coord-ylim") | ||
| expect_equal(info$kwargs$layout$yaxis$range, c(5, 7.5)) | ||
| }) | ||
| # 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) | ||
| sp <- ggplot(dat, aes(xval, yval)) + geom_point() | ||
| test_that("A scatterplot with regular (linear) axis scaling", { | ||
| info <- expect_traces(sp, 1, "linear-axes") | ||
| }) | ||
| library(scales) # Need the scales package | ||
| sp.log2.scale <- sp + scale_y_continuous(trans=log2_trans()) | ||
| test_that("log2 scaling of the y axis (with visually-equal spacing)", { | ||
| info <- expect_traces(sp.log2.scale, 1, "log2-scale") | ||
| }) | ||
| sp.log2.coord <- sp + coord_trans(ytrans="log2") | ||
| test_that("log2 coordinate transformation with visually-diminishing spacing", { | ||
| info <- expect_traces(sp.log2.coord, 1, "log2-coord") | ||
| }) | ||
| sp.labels <- sp + | ||
| scale_y_continuous(trans = log2_trans(), | ||
| breaks = trans_breaks("log2", function(x) 2^x), | ||
| labels = trans_format("log2", math_format(2^.x))) | ||
| test_that("log2 transform with labels", { | ||
| info <- expect_traces(sp.labels, 1, "log2-labels") | ||
| }) | ||
| sp.log10 <- sp + scale_y_log10() | ||
| test_that("scale_y_log10", { | ||
| info <- expect_traces(sp.log10, 1, "scale_y_log10") | ||
| }) | ||
| sp.log10.labels <- sp + | ||
| scale_y_log10(breaks = trans_breaks("log10", function(x) 10^x), | ||
| labels = trans_format("log10", math_format(10^.x))) | ||
| test_that("log10 with exponents on tick labels", { | ||
| info <- expect_traces(sp.log10.labels, 1, "scale_y_log10-labels") | ||
| }) | ||
| # 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() | ||
| sp.fixed <- sp + coord_fixed() | ||
| test_that("Force equal scaling", { | ||
| info <- expect_traces(sp.fixed, 1, "coord-fixed") | ||
| }) | ||
| sp.ratio <- sp + coord_fixed(ratio=1/3) | ||
| test_that("coord_fixed(ratio)", { | ||
| info <- expect_traces(sp.ratio, 1, "coord-fixed-ratio") | ||
| }) | ||
| no.x.title <- bp + | ||
| theme(axis.title.x = element_blank()) + # Remove x-axis label | ||
| ylab("Weight (Kg)") # Set y-axis label | ||
| test_that("coord_fixed(ratio)", { | ||
| info <- expect_traces(no.x.title, 3, "no-x-title") | ||
| }) | ||
| # Also possible to set the axis label with the scale | ||
| # Note that vertical space is still reserved for x"s label | ||
| bp.scale.name <- bp + scale_x_discrete(name="") + | ||
| scale_y_continuous(name="Weight (Kg)") | ||
| test_that("scale(name)", { | ||
| info <- expect_traces(bp.scale.name, 3, "scale-name") | ||
| }) | ||
| # 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 | ||
| bp.fonts <- 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)) | ||
| test_that("element_text face, colour, size, angle, vjust, size", { | ||
| info <- expect_traces(bp.fonts, 3, "fonts") | ||
| x <- info$kwargs$layout$xaxis | ||
| xtitle <- x[["titlefont"]] | ||
| xtick <- x[["tickfont"]] | ||
| expect_identical(xtitle$color, toRGB("#990000")) | ||
| expect_equal(xtitle$size, 20) | ||
| ## TODO: does plotly support bold text? | ||
| expect_equal(x$tickangle, -90) | ||
| ## TODO: can we test for vjust? | ||
| expect_equal(xtick$size, 16) | ||
| }) | ||
| # Label formatters | ||
| library(scales) # Need the scales package | ||
| label.funs <- bp + | ||
| scale_y_continuous(labels=percent) + | ||
| scale_x_discrete(labels=abbreviate) | ||
| test_that("In this particular case, x scale has no effect", { | ||
| info <- expect_traces(label.funs, 3, "label-funs") | ||
| }) | ||
| # 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 | ||
| } | ||
| custom.formatter <- bp + scale_y_continuous(label=timeHMS_formatter) | ||
| test_that("custom HMS formatter function", { | ||
| info <- expect_traces(custom.formatter, 3, "custom-formatter") | ||
| }) | ||
| blank.minor.major <- bp + | ||
| theme(panel.grid.minor=element_blank(), | ||
| panel.grid.major=element_blank()) | ||
| test_that("Hide all the gridlines", { | ||
| info <- expect_traces(blank.minor.major, 3, "blank-minor-major") | ||
| }) | ||
| blank.minor <- bp + | ||
| theme(panel.grid.minor=element_blank()) | ||
| test_that("Hide just the minor gridlines", { | ||
| info <- expect_traces(blank.minor, 3, "blank-minor") | ||
| }) | ||
| blank.x <- bp + | ||
| theme(panel.grid.minor.x=element_blank(), | ||
| panel.grid.major.x=element_blank()) | ||
| test_that("Hide all the horizontal gridlines", { | ||
| info <- expect_traces(blank.x, 3, "blank-x") | ||
| }) | ||
| blank.y <- bp + | ||
| theme(panel.grid.minor.y=element_blank(), | ||
| panel.grid.major.y=element_blank()) | ||
| test_that("Hide all the vertical gridlines", { | ||
| info <- expect_traces(blank.y, 3, "blank-y") | ||
| }) | ||
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could you add this as a github issue so that we can keep track of it?
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added #184