# testthat::context("amBoxplot")
# 
# 
# testthat::test_that("Formula", {
#   testthat::expect_silent({
#     
#     (obj <- amBoxplot(count ~ spray, data = InsectSprays))
#     
#     # Adding parameters
#     amBoxplot(count ~ spray, data = InsectSprays, ylim = c(0,50),
#               xlab = "spray", col = c("darkblue", "gray"))
#     
#     # Transpose
#     amBoxplot(count ~ spray, data = InsectSprays, ylim = c(0,50), xlab = "spray", horiz = TRUE)
#     
#     # Using a custom colum to identify outliers
#     InsectSprays$id <- paste0("ID : ", 1:nrow(InsectSprays))
#     amBoxplot(count ~ spray, data = InsectSprays, id = "id")
#     
#     # Parameter for amOptions
#     amBoxplot(count ~ spray, data = InsectSprays, main = "amcharts")
#   })
# })
# 
# testthat::test_that("data.frame", {
#   testthat::expect_silent({
#     don <- data.frame(a = 1:10, b = 1:5)
#     amBoxplot(don, ylim = c(0,15))
#     
#     # Parameter for amOptions
#     amBoxplot(count ~ spray, data = InsectSprays, creditsPosition = "top-right")
#   })
# })
# 
# testthat::test_that("matrix", {
#   testthat::expect_silent({
#     x <- matrix(nrow = 10, ncol = 5, rnorm(50))
#     
#     amBoxplot(x) # on columns
#     colnames(x) <- LETTERS[1:5]
#     amBoxplot(x) # with names
#     amBoxplot(x, use.cols = FALSE, col = c("blue", "red"))
#     
#     # Parameter for amOptions
#     amBoxplot(x, export = TRUE, exportFormat = "SVG")
#   })
# })
# 
# testthat::test_that("numeric vector", {
#   testthat::expect_silent({
#     amBoxplot(rnorm(100))
#     
#     # Parameter for amOptions
#     amBoxplot(rnorm(100), zoom = TRUE)
#   })
# })