# Render statistics
test_that("Numeric", {
data(mtcars)
x <- render_numeric(mtcars$mpg)
expect_identical(x, c("Valid Obs." = "32",
"Mean (SD)" = "20.1 (6.03)",
"Median [Min, Max]" = "19.2 [10.4, 33.9]"))
x <- rep(NA, 10)
expect_identical(render_numeric(x), c("Valid Obs." = "0",
"Mean (SD)" = "",
"Median [Min, Max]" = ""))
x <- render_numeric(mtcars$mpg,
what = c("Geo. Mean (Geo. CV%)" = "GMean (GCV)",
"Geo. SD" = "GSD",
"Median [IQR]" = "Median [IQR]"))
expect_identical(x, c("Valid Obs." = "32",
"Mean (SD)" = "20.1 (6.03)",
"Geo. Mean (Geo. CV%)" = "19.3 (30.4%)",
"Geo. SD" = "1.35",
"Median [IQR]" = "19.2 [7.38]"))
# Quantile
x <- render_numeric(mtcars$mpg,
what = c("Median [Q1, Q3]" = "Median [Q1, Q3]"))
expect_identical(x, c("Valid Obs." = "32",
"Mean (SD)" = "20.1 (6.03)",
"Median [Q1, Q3]" = "19.2 [15.4, 22.8]"))
x <- render_numeric(mtcars$mpg,
what = c("GMean (GCV)",
"Median [IQR]" = "Median [IQR]"))
expect_identical(x, c("Valid Obs." = "32",
"Mean (SD)" = "20.1 (6.03)",
"GMean (GCV)" = "19.3 (30.4%)",
"Median [IQR]" = "19.2 [7.38]"))
expect_error(render_numeric(mtcars$mpg, what = "Mdian [IQR]"),
"Statistics Mdian is not a valid statistics")
})
test_that("Character", {
data(mtcars)
y <- factor(mtcars$am, levels = c(0, 1),labels=c("automatic", "manual"))
y[1:10] <- NA
expect_identical(render_cat(y), c("automatic" = "12/22 (54.5%)",
"manual" = "10/22 (45.5%)"))
y <- c(rep(T, 8), rep(F, 10))
expect_identical(render_cat(y), c("Yes" = "8/18 (44.4%)",
"No" = "10/18 (55.6%)"))
})
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