prolific_anonymize: Clean up a prolific file for sharing by removing...

In tbates/umx: Structural Equation Modeling and Twin Modeling in R

Clean up a prolific file for sharing by removing anonymity-compromising columns.

Description

prolific.ac IDs and other columns like IP and lat/long might compromise subject anonymity when shared. prolific_anonymize replaces PIDs with a simple numeric sequence, preserving repeated measures in long data, and removing other columns. You can delete additional columns by adding them to extraColumns. It is ideal for use when sharing data to https://researchbox.org which enforces anonymization.

Usage

prolific_anonymize(
  df = NULL,
  PID = "PID",
  extraColumns = NA,
  baseOffset = 10000
)

Arguments

df	Existing datafile to anonymize.
PID	The prolific ID col name to anonymize
extraColumns	Any extra columns to delete (default NA)
baseOffset	The numeric to start renumbering PIDs from (default = 1e4)

Value

• [data.frame]

References

• https://github.com/tbates/umx, https://tbates.github.io

See Also

• prolific_check_ID(), prolific_read_demog(), umx_merge_randomized_columns()

Other Data Functions: noNAs(), prolific_check_ID(), prolific_read_demog(), umx, umxFactor(), umxHetCor(), umx_as_numeric(), umx_cont_2_quantiles(), umx_lower2full(), umx_make_MR_data(), umx_make_TwinData(), umx_make_fake_data(), umx_make_raw_from_cov(), umx_merge_randomized_columns(), umx_polychoric(), umx_polypairwise(), umx_polytriowise(), umx_read_lower(), umx_rename(), umx_reorder(), umx_score_scale(), umx_select_valid(), umx_stack(), umx_strings2numeric()

Examples

## Not run: 
tmp = prolific_anonymize(df, PID = "PID")

## End(Not run)

tbates/umx documentation built on Dec. 14, 2024, 11:28 a.m.