rmdupkey: Remove observations with duplicate keys from data
In StatMeasures: Easy Data Manipulation, Data Quality and Statistical Checks

Description Usage Arguments Details Value Author(s) See Also Examples

Takes in a data and key, and returns data with duplicate observations by key removed

1	rmdupkey(data, by)

`data`	a data.frame or data.table
`by`	a character vector of keys to be used

Remove duplicate observations by key(s) is what this function does. How it is different from other functions that remove duplicates is that rmdupkey works for both 'data.frame' and 'data.table', and it also returns the duplicated observations.

Many a times we want to go back to the duplicated observations and see why that duplication occured. One can pick the duplicated observations using the code given in example.

a two element list: unique data and duplicate data

Akash Jain

randomise, factorise, rmdupobs

# A 'data.frame'
df <- data.frame(x = c(1, 2, 1, 1), y = c(3, 3, 1, 3))

# Remove duplicate observations by key from data
ltDf <- rmdupkey(data = df, by = c('x'))
unqDf <- ltDf$unqData
dupDf <- ltDf$dupData