MplusAutomationUtils: Clean data and calculate the md5 hash
In enaY15/TabulationAutomation: Auomated analysis and tabulation of results

Description Usage Arguments Value Examples

Internal utility function, primarily for prepareMplusData.

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.cleanHashData(df, keepCols, dropCols, imputed = FALSE)

.hashifyFile(filename, hash, useexisting = FALSE)

`df`	The R data.frame to be prepared for Mplus
`keepCols`	A character vector specifying the variable names within `df` to be output to `filename` or a numeric vector of the column indices to be output or a logical vector corresponding to the same.
`dropCols`	A character vector specifying the variable names within `df` to be omitted from the data output to `filename` or a numeric vector of the column indices not to be output or a logical vector corresponding to the same.
`imputed`	A logical whether data are multiply imputed. Defaults to `FALSE`. If `TRUE`, the data should be a list, where each element of the list is a multiply imputed dataset.
`filename`	A character vector containing the filename
`hash`	A character vector with the hash to use
`useexisting`	A logical whether to use an existing file name if one is found containing the hash. Defaults to `FALSE` in which case the hash is added to the user specified filename

A list of the data and the md5 hash.

A list of the filename (plus hash) and a logical value whether a filename with the hash already existed or not.

## Not run: 

## basic example
MplusAutomation:::.cleanHashData(mtcars)

## has changes when data changes
MplusAutomation:::.cleanHashData(mtcars[-15,])

## example on a list (e.g., for multiply imputed data)

MplusAutomation:::.cleanHashData(
 list(
   data.frame(a = 1:4),
   data.frame(a = c(2, 2, 3, 4))),
  imputed = TRUE)


## End(Not run)
MplusAutomation:::.hashifyFile("testit.dat", "abc")