Nothing
test_that("plot_growth_performance() produces expected output", {
# Generate test data
test_stats_data <- tibble(data.frame(
Well_Position = paste0(rep(LETTERS[1:8],
each = length(1:12)), "-",
rep(1:12,
times = length(LETTERS[1:8]))),
Value = c(1:12, -13:-24, 25:96),
Validity = c("valid", rep("invalid", 95)),
Treatment = rep(LETTERS[1:8], each = 12),
Concentration = rep(seq(from = 80, to = 10,
length.out=8), each = 12),
Timepoint = "T0",
File = "Some_file",
Group = "Group A",
Experiment = "Experiment 1"
))
test_summarized_data <- tibble(data.frame(
Group = "Group A",
Treatment = LETTERS[1:8],
Concentration = c(80,70,60,50,40,30,20,10),
Timepoint = "T0",
mean = c(6.5, -18.5, 30.5, 42.5, 54.5, 66.5, 78.5, 90.5),
stderr = 1.04
))
# Test case 1: Display data without applying sign test
p1 <- plot_growth_performance(input_data = test_summarized_data)
p1_layers <- sapply(p1$layers, function(x) class(x$geom)[1])
expect_true("GeomBar" %in% p1_layers[1])
expect_true("GeomErrorbar" %in% p1_layers[2])
expect_true("GeomText" %in% p1_layers[3])
expect_true("GeomHline" %in% p1_layers[4])
expect_equal(unique(p1$data$p.signif), "") # no asterisk notation plotted
# Test case 2: Display data with sign test applied and grouping structure
p2 <- plot_growth_performance(input_data = test_summarized_data,
stats_data = test_stats_data,
apply_sign_test = T,
grouping = c("Treatment", "Concentration"))
p2_layers <- sapply(p2$layers, function(x) class(x$geom)[1])
expect_true("GeomBar" %in% p2_layers[1])
expect_true("GeomErrorbar" %in% p2_layers[2])
expect_true("GeomText" %in% p2_layers[3])
expect_true("GeomHline" %in% p2_layers[4])
expect_false(identical(p1,p2))
expect_equal(unique(p2$data$p.signif), "***") # asterisk notation plotted
})
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