library(testthat)
library(ggexpress)
# Test Data
iris <- tibble::as_tibble(iris)
variable <- iris$Sepal.Length
mean_legnth <- mean(variable)
median_length <- median(variable)
sd_length <- sd(variable)
sepal_freq <- tibble::as_tibble(as.data.frame(table(iris$Sepal.Length)))
annotation_x <- max(variable)*0.9
y_max <- max(variable)
iris_plot <- iris %>%
ggplot(aes(x = Sepal.Length)) +
geom_histogram() +
geom_vline(xintercept = mean_legnth, color = "red") +
geom_vline(xintercept = median_length, color = "blue") +
annotate(geom = "text",
x = annotation_x,
y = y_max*0.9,
label = paste("Mean is:", round(mean_legnth, 2)),
color = "red") +
annotate(geom = "text",
x = annotation_x,
y = (y_max*0.9 - 1),
label = paste("Median is:", round(median_length, 2)),
color = "blue") +
annotate(geom = "text",
x = annotation_x,
y = (y_max*0.9 - 2),
label = paste("Standard Deviation is:", round(sd_length, 2)),
color = "black")
testthat::test_that("Output is of correct datatype.", {
testthat::expect_identical(class(gghist(iris, Sepal.Length)), class(iris_plot))
})
testthat::test_that("Check that exception is raised when data is of incorrect type.", {
testthat::expect_error(gghist(iris$Sepal.Length, Sepal.Length))
})
testthat::test_that("Check that exception is raised when variable is not continuous.", {
testthat::expect_error(gghist(iris, species))
})
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