tests/testthat/test_names2labels.R

In gdemin/labelr: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics

context("names2labels")

vec = 1:7

expect_identical(names2labels(vec),as.matrix(vec))

var_lab(vec) = "vector"

expect_identical(names2labels(vec),cbind(vector = vec))

mat = matrix(1:9,ncol=3)
# 
# expect_identical(names2labels(mat),mat)

# var_lab(mat) = "matrix"
# 
# out_mat =  mat
# colnames(out_mat) = paste0("matrix|",1:3)
# expect_identical(names2labels(mat),out_mat)

colnames(mat) = letters[1:3]
# out_mat =  mat
# colnames(out_mat) = paste0("matrix|",letters[1:3])
# expect_identical(names2labels(mat),out_mat)

df = as.data.frame(mat)

expect_identical(names2labels(df),df)
expect_error(names2labels(df, exclude = TRUE))
expect_error(names2labels(df, exclude = "ddd"))
expect_error(names2labels(df, exclude = 1:5))

var_lab(df$a) = "column a"

out_df = df
colnames(out_df)[1] = "column a"

expect_identical(names2labels(df),out_df)
expect_identical(names2labels(df, exclude = "a"), df)
expect_identical(names2labels(df, exclude = 1), df)
expect_identical(names2labels(df, exclude = c(TRUE, FALSE, FALSE)), df)

colnames(out_df)[1] = "a column a"

expect_identical(names2labels(df, keep_names = TRUE), out_df)
expect_identical(names2labels(df, exclude = "a", keep_names = TRUE), df)
expect_identical(names2labels(df, exclude = 1, keep_names = TRUE), df)
expect_identical(names2labels(df, exclude = c(TRUE, FALSE, FALSE), keep_names = TRUE), df)

var_lab(df$a) = "column a"
var_lab(df$b) = "column b"
var_lab(df$c) = "column c"

out_df = df
colnames(out_df) = paste0("column ",letters[1:3])
expect_identical(names2labels(df),out_df)

out_df2 = out_df
colnames(out_df2)[1] = "a"
expect_identical(names2labels(df, exclude = "a"), out_df2)
expect_identical(names2labels(df, exclude = 1), out_df2)
expect_identical(names2labels(df, exclude = c(TRUE, FALSE, FALSE)), out_df2)

lst = as.list(df)
out_lst = as.list(out_df)
expect_identical(names2labels(lst),out_lst)

out_lst2 = out_lst
names(out_lst2)[1:2] = c("a","b")
expect_identical(names2labels(lst, exclude = c("a","b")), out_lst2)
expect_identical(names2labels(lst, exclude = 1:2), out_lst2)
expect_identical(names2labels(lst, exclude = c(TRUE, TRUE, FALSE)), out_lst2)

df = df[,FALSE]
out_df = out_df[,FALSE]
expect_identical(names2labels(df),out_df)


data(mtcars)
mtcars = within(mtcars,{
                var_lab(cyl) = "Number of cylinders"
                var_lab(disp) = "Displacement (cu.in.)"
                var_lab(hp) = "Gross horsepower"
                var_lab(drat) = "Rear axle ratio"
                var_lab(wt) = "Weight (lb/1000)"
                var_lab(qsec) = "1/4 mile time"
                var_lab(vs) = "V/S"
                var_lab(am) = "Transmission (0 = automatic, 1 = manual)"
                var_lab(gear) = "Number of forward gears"
                var_lab(carb) = "Number of carburetors"
})


expect_equal_to_reference(summary(lm(mpg ~ ., data = names2labels(mtcars))),"rds/lm_names2labels_1.rds",  update = FALSE)
expect_equal_to_reference(summary(lm(mpg ~ ., data = names2labels(mtcars, keep_names = TRUE))),"rds/lm_names2labels_2.rds",  update = FALSE)

data(mtcars)
mtcars = within(mtcars,{
    var_lab(mpg) = "Miles/(US) gallon"
    var_lab(cyl) = "Number of cylinders"
    var_lab(disp) = "Displacement (cu.in.)"
    var_lab(hp) = "Gross horsepower"
    var_lab(drat) = "Rear axle ratio"
    var_lab(wt) = "Weight (lb/1000)"
    var_lab(qsec) = "1/4 mile time"
    var_lab(vs) = "V/S"
    var_lab(am) = "Transmission (0 = automatic, 1 = manual)"
    var_lab(gear) = "Number of forward gears"
    var_lab(carb) = "Number of carburetors"
})
expect_equal_to_reference(summary(lm(mpg ~ ., data = names2labels(mtcars, exclude = "mpg"))),"rds/lm_names2labels_3.rds",  update = FALSE)