odd_val_col: Checking Columns for NA, Negative or Other (Odd) Values and...

In AltfunsMA/cptools: Tools for Consumer Pyramids and other Indian Data Wrangling

Checking Columns for NA, Negative or Other (Odd) Values and Returning an easy to inspect dataframe with meaningful reference columns that don't have NAs

Description

Checking Columns for NA, Negative or Other (Odd) Values and Returning an easy to inspect dataframe with meaningful reference columns that don't have NAs

Usage

odd_val_col(df, refCols = c(1, 2), oddValues = "NAs", verbose = TRUE)

Arguments

df	Dataframe in which to check for odd values.
refCols	The columns that will be presented in the output. Passed to a If "dist" or "ac" are typed in, the function selects the pairs STATE/DISTRICT_NAME and ST_NAME/AC_NO.
oddValues	The type of odd values with three options. The default "na" checks all types of missing values in Consumer Pyramids. The option "negative" checks if any numeric column is negative. Alternatively, a string vector can be supplied that will used to check.
verbose	Whether to print messages to the console.
df_type	as refCols.

Details

The states argument calls exclude_states

Value

A tibble with the rows where the odd values where found.

Examples

x <- na_if(mtcars, 0)

odd_val_col(x)

AltfunsMA/cptools documentation built on Aug. 7, 2022, 5:44 p.m.