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Check if column inputs contain mixed data types

Source: R/plot_mods.R
is_pure_type.Rd

This function validates that a vector of column names from a data frame contains columns of only one data type category: either all numeric OR all categorical (factor/character). Returns FALSE for mixed numeric + categorical columns. Single columns always return TRUE. Used for Shiny plotting module input validation.

Usage

is_pure_type(inputs, d)

Arguments

inputs

Character vector of column names to validate.

d

Data frame containing the columns specified in inputs.

Value

Logical scalar: TRUE if all numeric OR all categorical (factor/character); FALSE if mixed numeric + categorical/factor detected.

See also

for

Author

Jacob Martin

Examples

df <- data.frame(num1 = 1:3, num2 = 4:6, cat1 = letters[1:3], fac1 = factor(1:3))
is_pure_type(c("num1", "num2"), df) # TRUE (all numeric)
#> [1] TRUE
is_pure_type(c("cat1", "fac1"), df) # TRUE (all categorical)
#> [1] TRUE
is_pure_type(c("num1"), df) # TRUE (single)
#> [1] TRUE
is_pure_type(c("num1", "cat1"), df) # FALSE (mixed numeric + cat)
#> [1] FALSE