| prolific_read_demog | R Documentation |
prolific academic provides a demographics file. This reads it and merges with your data using PID and participant_id
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
)
file |
Path to demographics file. |
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 df (default = "PROLIFIC_PID") |
by.demog |
The ID name in the prolific demographics file (default = "Participant id" was |
age |
Name of age 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. |
[data.frame]
prolific_check_ID(), prolific_anonymize(), umx_merge_randomized_columns()
Other Data Functions:
noNAs(),
prolific_anonymize(),
prolific_check_ID(),
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()
## 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("Ethnicity.simplified"))
## End(Not run)
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