supportR (version 1.5.0)

multi_date_check: Check Multiple Columns for Non-Dates

Description

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

Usage

multi_date_check(data = NULL, col_vec = NULL)

Value

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

Arguments

data

(dataframe) object containing at least one column of supposed dates

col_vec

(character or numeric) vector of names or column numbers of the columns containing putative dates in the data object

Examples

# Make a dataframe to test the function
loc <- c("LTR", "GIL", "PYN", "RIN")
time <- c('2021-01-01', '2021-01-0w', '1990', '2020-10-xx')
time2 <- c('1880-08-08', '2021-01-02', '1992', '2049-11-01')
time3 <- c('2022-10-31', 'tomorrow', '1993', NA)

# Assemble our vectors into a dataframe
sites <- data.frame('site' = loc, 'first_visit' = time, "second" = time2, "third" = time3)

# Use `multi_date_check()` to return only the entries that would be lost
multi_date_check(data = sites, col_vec = c("first_visit", "second", "third"))