remove_columns: Remove columns based on a number of distinct values
In KevinRPan/handy: Commonly Used Functions For Handling Data

Remove columns with less than a specified number of distinct values.

1	remove_columns(df, .uniqueness = 1)

`df`	the input dataframe
`.uniqueness`	the number of unique values the value should take on, omitting NAs.

Functions to help with data cleaning

A dataframe with columns removed. Note: using 0 will remove columns where all observations are NA.

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df <- head(data.frame('x' = letters, 'y' = rep(0, length(letters)), z = rep(NA, length(letters))))
remove_columns(df)
remove_columns(df, 0)

KevinRPan/handy documentation built on May 4, 2019, 2:34 p.m.

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