MplusAutomationUtils: Clean data and calculate the md5 hash

In MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

Clean data and calculate the md5 hash

Description

Internal utility function, primarily for prepareMplusData.

Internal utility function, primarily for prepareMplusData.

Usage

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

.hashifyFile(filename, hash, useexisting = FALSE)

Arguments

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

Value

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.

Examples

## 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")

MplusAutomation documentation built on May 29, 2024, 5:29 a.m.