clus <- hclust(dist(USArrests), "ave") test_that("scale_xy_dendrogram return correct scale types", { plain_x <- scale_x_dendrogram() plain_y <- scale_y_dendrogram() # Without hclust argument, should simply return discrete position scale expect_s3_class(scale_x_dendrogram(), "ScaleDiscretePosition") expect_s3_class(scale_y_dendrogram(), "ScaleDiscretePosition") expect_false(inherits(plain_x, "ScaleDendrogram")) expect_false(inherits(plain_y, "ScaleDendrogram")) proper_x <- scale_x_dendrogram(hclust = clus) proper_y <- scale_y_dendrogram(hclust = clus) # With hclust argument should return dendrogram scale expect_s3_class(proper_x, "ScaleDiscretePosition") expect_s3_class(proper_y, "ScaleDiscretePosition") expect_s3_class(proper_x, "ScaleDendrogram") expect_s3_class(proper_y, "ScaleDendrogram") # hclust object should be in scale expect_identical(proper_x$hclust, clus) expect_identical(proper_y$hclust, clus) }) test_that("scale_xy_dendrogram sets guide correctly", { x <- scale_x_dendrogram(hclust = clus) y <- scale_y_dendrogram(hclust = clus) expect_s3_class(x$guide, "guide") expect_s3_class(x$guide, "dendroguide") expect_s3_class(x$guide$dendro, "dendro") expect_s3_class(y$guide, "guide") expect_s3_class(y$guide, "dendroguide") expect_s3_class(y$guide$dendro, "dendro") # Should not override manual axis x <- scale_x_dendrogram(guide = guide_axis()) y <- scale_y_dendrogram(guide = guide_axis()) expect_false(inherits(x$guide, "dendroguide")) expect_false(inherits(y$guide, "dendroguide")) }) test_that("scale_xy_dendrogram reorders axis", { rlang::local_options(lifecycle_verbosity = "quiet") df <- data.frame( x = factor(rownames(USArrests)), y = rnorm(nrow(USArrests)) ) base <- ggplot(df, aes(x, y)) + geom_point() ctrl <- base + scale_x_discrete() test <- base + scale_x_dendrogram(hclust = clus) ctrl <- layer_data(ctrl) test <- layer_data(test) expect_equal(ctrl$x[order(clus$order)], test$x) }) test_that("scale_xy_dendrogram draws dendrogram", { rlang::local_options(lifecycle_verbosity = "quiet") df <- data.frame( x = rownames(USArrests), y = rnorm(nrow(USArrests)) ) base <- ggplot(df, aes(x, y)) + geom_point() ctrl <- base + scale_x_discrete() test <- base + scale_x_dendrogram(hclust = clus) ctrl <- ggplotGrob(ctrl) test <- ggplotGrob(test) ctrl <- ctrl$grobs[ctrl$layout$name == "axis-b"][[1]] test <- test$grobs[test$layout$name == "axis-b"][[1]] ctrl <- ctrl$children[[2]] test <- test$children[[2]] expect_false(identical(ctrl, test)) expect_true(any(sapply(test$grobs, function(x) { startsWith(x$name, "GRID.segments") }))) }) test_that("scale_xy_dendrogram position is correct", { rlang::local_options(lifecycle_verbosity = "quiet") df <- data.frame( x = rownames(USArrests), y = rnorm(nrow(USArrests)) ) hor <- ggplot(df, aes(x, y)) + geom_point() ver <- ggplot(df, aes(y, x)) + geom_point() bottom <- hor + scale_x_dendrogram(hclust = clus, position = "bottom") top <- hor + scale_x_dendrogram(hclust = clus, position = "top") left <- ver + scale_y_dendrogram(hclust = clus, position = "left") right <- ver + scale_y_dendrogram(hclust = clus, position = "right") plot <- list(bottom = bottom, top = top, left = left, right = right) # Pull out the segments grob making up the dendrogram grobs <- lapply(setNames(names(plot), names(plot)), function(p) { gt <- ggplotGrob(plot[[p]]) gt <- gt$grobs[gt$layout$name == paste0("axis-", substr(p, 1, 1))][[1]] gt <- gt$children[sapply(gt$children, inherits, "gtable")][[1]] gt <- gt$grobs[sapply(gt$grobs, inherits, "segments")][[1]] gt }) # We check how many segment ends are at the relevant axis, which should equal # the number of leaves / samples bottom <- sum(unclass(grobs$bottom$y1) == 1) top <- sum(unclass(grobs$top$y1) == 0) left <- sum(unclass(grobs$left$x1) == 1) right <- sum(unclass(grobs$right$x1) == 0) expect_identical(bottom, nrow(df)) expect_identical(top, nrow(df)) expect_identical(left, nrow(df)) expect_identical(right, nrow(df)) }) test_that("scale_xy_dendrogram can set labels", { rlang::local_options(lifecycle_verbosity = "quiet") df <- data.frame( x = factor(rownames(USArrests)), y = rnorm(nrow(USArrests)) ) base <- ggplot(df, aes(x, y)) + geom_point() ctrl <- base + scale_x_dendrogram(hclust = clus) # Verbatim test1 <- base + scale_x_dendrogram(hclust = clus, labels = seq_len(nrow(USArrests))) # By function test2 <- base + scale_x_dendrogram(hclust = clus, labels = toupper) cases <- list(ctrl = ctrl, test1 = test1, test2 = test2) cases <- lapply(cases, function(x) { x <- ggplotGrob(x) x <- x$grobs[x$layout$name == "axis-b"][[1]]$children[["axis"]] i <- vapply(x$grobs, inherits, logical(1), "titleGrob") x <- x$grobs[[which(i)]]$children[[1]]$label x }) expect_identical(cases$test1, as.character(1:50)) expect_false(identical(cases$ctrl, cases$test2)) expect_identical(toupper(cases$ctrl), cases$test2) }) test_that("scale_xy_dendrogram can be draw without labels", { rlang::local_options(lifecycle_verbosity = "quiet") df <- data.frame( x = factor(rownames(USArrests)), y = rnorm(nrow(USArrests)) ) base <- ggplot(df, aes(x, y)) + geom_point() ctrl <- base + scale_x_dendrogram(hclust = clus) test <- base + scale_x_dendrogram(hclust = clus, labels = NULL) ctrl <- ggplotGrob(ctrl) test <- ggplotGrob(test) ctrl <- ctrl$grobs[[which(ctrl$layout$name == "axis-b")]]$children[[2]][1,1]$grobs[[1]] test <- test$grobs[[which(test$layout$name == "axis-b")]]$children[[2]][1,1]$grobs[[1]] expect_s3_class(ctrl, "titleGrob") expect_s3_class(test, "zeroGrob") # But hclust must contain labels no_labs <- clus no_labs$labels <- NULL expect_error(ggplotGrob(base + scale_x_dendrogram(hclust = no_labs))) })