multi_num_check: Check Multiple Columns for Non-Numbers

In supportR: Support Functions for Wrangling and Visualization

Check Multiple Columns for Non-Numbers

Description

This function was deprecated because I realized that it is just a special case of the num_check() function.

Usage

multi_num_check(data = NULL, col_vec = NULL)

Arguments

data	(dataframe) object containing at least one column of supposed numbers
col_vec	(character or numeric) vector of names or column numbers of the columns containing putative numbers in the data object

Value

list of same length as col_vec with malformed numbers from each column in their respective element

Examples

# Create dataframe with a numeric column where some entries would be coerced into NA
spp <- c('salmon', 'bass', 'halibut', 'eel')
ct <- c(1, '14x', '_23', 12)
ct2 <- c('a', '2', '4', '0')
ct3 <- c(NA, 'Y', 'typo', '2')
fish <- data.frame('species' = spp, 'count' = ct, 'num_col2' = ct2, 'third_count' = ct3)

# Use `multi_num_check()` to return only the entries that would be lost
multi_num_check(data = fish, col_vec = c("count", "num_col2", "third_count"))

supportR documentation built on June 22, 2024, 10:17 a.m.