wizaRdry (version 0.2.6)

clean: Generate clean data frames from cleaning scripts created in the ./clean directory

Description

This function processes requests for clean data sequentially for specified measures. It makes a request to the appropriate API for the named measure or measures and runs the associated data cleaning routines. It then runs a series of unit tests to verify that the data quality standards are met.

Usage

clean(..., csv = FALSE, rdata = FALSE, spss = FALSE, skip_prompt = TRUE)

Value

Prints the time taken for the data request process.

Arguments

...

Strings, specifying the measures to process, which can be a Mongo collection, REDCap instrument, or Qualtrics survey.

csv

Optional; Boolean, if TRUE creates a .csv extract in ./tmp.

rdata

Optional; Boolean, if TRUE creates an .rdata extract in ./tmp.

spss

Optional; Boolean, if TRUE creates a .sav extract in ./tmp.

skip_prompt

Logical. If TRUE (default), skips confirmation prompts. If FALSE, prompts for confirmation unless the user has previously chosen to remember their preference.

Author

Joshua Kenney

Examples

if (FALSE) {
  clean("prl", csv=TRUE)
  clean("rgpts", "kamin", rdata=TRUE)

  # Skip confirmation prompts
  clean("prl", csv=TRUE, skip_prompt=TRUE)
}