prolific_read_demog: Read and optionally merge demographics file from prolific...

In umx: Structural Equation Modeling and Twin Modeling in R

Read and optionally merge demographics file from prolific academic

Description

prolific academic provides a demographics file. This reads it and merges with your data using PID and participant_id

Usage

prolific_read_demog(
  file,
  base = "",
  df = NULL,
  by.df = "PROLIFIC_PID",
  by.demog = "Participant.id",
  age = "age",
  sex = "Gender",
  vars = NULL,
  all.df = TRUE,
  all.demog = FALSE,
  verbose = FALSE
)

Arguments

file	Path to a file to read.
base	Optional path to folder, in which case 'file' is just filename.
df	Existing datafile to merge demographics into (optional)
by.df	The ID name in existing datafile (default = "PROLIFIC_PID"
by.demog	The ID name in the prolific demographics file (default = "Participant id" was by.demog)
age	Name of sex var in demographics file ("age")
sex	Name of sex var in demographics file ("Sex")
vars	Additional vars to keep from demographics file (WAS age & Sex)
all.df	Whether to keep all lines of df (default = TRUE)
all.demog	Whether to keep all lines (people) in the demographics file (default = FALSE)
verbose	Print variable names found in the file.

Value

• [data.frame]

References

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

See Also

• prolific_check_ID(), prolific_anonymize(), umx_merge_randomized_columns()

Other Data Functions: noNAs(), prolific_anonymize(), prolific_check_ID(), 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(), umx

Examples

## Not run: 
fp = "~/Desktop/prolific_export_5f20c3e662e3b6407dcd37a5.csv"
df = prolific_read_demog(fp, sex = "Gender", age = "Age", df = df)
tmp = prolific_read_demog(fp, by.df = "PROLIFIC_PID", vars=c("EthnicitySimplified"))

## End(Not run)

umx documentation built on Nov. 17, 2023, 1:07 a.m.