wizaRdry (version 0.2.6)

nda: Generate validated NDA submission templates created in the ./nda directory

Description

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

Usage

nda(
  ...,
  csv = FALSE,
  rdata = FALSE,
  spss = FALSE,
  limited_dataset = 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.

limited_dataset

Optional; Boolean, if TRUE does not perform date-shifting of interview_date or age-capping of interview_age

skip_prompt

Logical. If TRUE (default), skips confirmation prompts unless preferences aren't set yet. If FALSE, prompts for confirmation unless the user has previously chosen to remember their preference.

Author

Joshua Kenney

Examples

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

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