prolific_scoring_stub: prolific_scoring_stub

In umx: Structural Equation Modeling and Twin Modeling in R

prolific_scoring_stub

Description

Automatically generates a scoring stub for scales in a Prolific/Qualtrics dataset.

Usage

prolific_scoring_stub(df = NULL, deleteJunk = FALSE)

Arguments

df	The data frame imported from Qualtrics/Prolific.
deleteJunk	Logical. If TRUE, return the dataframe with the metadata/junk columns removed. (default = FALSE)

Value

The data frame (invisibly). If deleteJunk = TRUE, junk columns are removed.

References

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

See Also

Other Data Functions: noNAs(), prolific_anonymize(), prolific_check_ID(), prolific_read_demog(), umx, umxFactor(), umxGSEM_sim_snps(), umxHetCor(), umx_as_numeric(), umx_cont_2_quantiles(), umx_lower2full(), umx_make_GxE_data(), 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: 
prolific_scoring_stub(df, deleteJunk = FALSE)

## End(Not run)

umx documentation built on Oct. 11, 2026, 5:07 p.m.