context("canvasXpress duplicated labels") test_that("segregated barplot duplicated labels", { tryCatch({ data <- read.table("https://www.canvasxpress.org/data/cX-simple-dat.txt", header = TRUE, sep = "\t", quote = "", row.names = 1, fill = TRUE, check.names = FALSE, stringsAsFactors = FALSE) smp_data <- read.table("https://www.canvasxpress.org/data/cX-simple-smp.txt", header = TRUE, sep = "\t", quote = "", row.names = 1, fill = TRUE, check.names = FALSE, stringsAsFactors = FALSE) sample_names <- c("S1", "S2", "S4", "S4", "S5", "S1", "S4", "S4") }, error = function(e) { skip('Unable to read data files') }) data <- cbind(data, data) smp_data <- rbind(smp_data, smp_data) smp_data$Gene <- c(rep("Gene1", length(sample_names)), rep("Gene2", length(sample_names))) sample_names <- rep(sample_names, 2) smp_data <- as.matrix(smp_data) rownames(smp_data) <- colnames(data) <- sample_names result <- canvasXpress(data = data, smpAnnot = smp_data, colorBy = "IC50", graphOrientation = "vertical", graphType = "Bar", smpOverlays = list("Drug Sensitivity"), segregateSamplesBy = list("Gene"), smpTitle = "Cell Lines", title = "Duplicated labels should appear correct for each Gene", xAxis2Show = FALSE) check_ui_test(result) }) test_that("barplot duplicated labels", { tryCatch({ data <- read.table("https://www.canvasxpress.org/data/cX-simple-dat.txt", header = TRUE, sep = "\t", quote = "", row.names = 1, fill = TRUE, check.names = FALSE, stringsAsFactors = FALSE) smp_data <- read.table("https://www.canvasxpress.org/data/cX-simple-smp.txt", header = TRUE, sep = "\t", quote = "", row.names = 1, fill = TRUE, check.names = FALSE, stringsAsFactors = FALSE) sample_names <- c("S1", "S2", "S4", "S4", "S5", "S1", "S4", "S4") }, error = function(e) { skip('Unable to read data files') }) smp_data <- as.matrix(smp_data) rownames(smp_data) <- colnames(data) <- sample_names result <- canvasXpress(data = data, smpAnnot = smp_data, colorBy = "IC50", graphOrientation = "vertical", graphType = "Bar", smpOverlays = list("Drug Sensitivity"), smpTitle = "Cell Lines", title = "Duplicated labels should appear correct", xAxis2Show = FALSE) check_ui_test(result) }) ## Box plot tests precalc.data <- data.frame(iqr1 = c(45, 7.3, 8, NA), qtl1 = c(109, 14.9, 4, NA), median = c(159, 20.1, 7.25, NA), qtl3 = c(249, 26.2, 11.3, NA), iqr3 = c(337, 40.6, 17.4, NA), outliers = c("", "44.5, 46", "", ""), type = c("A", "B", "C", "D"), stringsAsFactors = F) sample_names <- c("Assault", "Rape", "Assault", "Missing") test_that("segregated boxplot duplicated labels", { precalc.data <- rbind(precalc.data, precalc.data) precalc.data$cnty <- c(rep("Country1", length(sample_names)), rep("Country2", length(sample_names))) sample_names <- rep(sample_names, 2) precalc.data <- as.data.frame(t(precalc.data)) colnames(precalc.data) <- sample_names result <- canvasXpress(data = precalc.data, smpAnnot = precalc.data[c("type", "cnty"), ], graphType = "Boxplot", graphOrientation = "vertical", smpLabelFontStyle = "italic", smpLabelRotate = 90, showLegend = FALSE, segregateSamplesBy = list("cnty"), title = "Precalculated boxplot with segregation - data with smpAnnot", titleScaleFontFactor = 0.5) check_ui_test(result) }) test_that("boxplot duplicated labels", { precalc.data <- as.data.frame(t(precalc.data)) colnames(precalc.data) <- c("Assault", "Rape", "Assault", "Missing") result <- canvasXpress(data = precalc.data, smpAnnot = precalc.data["type", ], graphType = "Boxplot", graphOrientation = "vertical", smpLabelFontStyle = "italic", smpLabelRotate = 90, showLegend = FALSE, title = "Precalculated boxplot - data with smpAnnot", titleScaleFontFactor = 0.5) check_ui_test(result) })