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)