identity_from_csv: Gets IDENTITY data and cleans up based on parameters
In patelm9/cartographR:

View source: R/redcap_identity_from_csv.R

Gets IDENTITY data and cleans up based on parameters

identity_from_csv(path_to_identity, target_cols,
  redcap_forms_to_exclude = NULL, keep_all_cols = FALSE,
  dont_trimws = FALSE, remove_all = "\t|\n",
  include_duplicates = FALSE, log = TRUE)

`path_to_identity`	path to the rawidentity csv
`target_cols`	vector of the names of the columns that will be melted into the "KEY_FIELD" variable
`keep_all_cols`	TRUE if all the variables are wanted in the output. Otherwise, only the target_cols will be selected.
`dont_trimws`	TRUE if white spaces on both the left and right side are not desired in the output
`remove_all`	character string of length 1 representing the string of artifact and other values to be removed from the final output separated by the OR operator
`include_duplicates`	TRUE if all the duplicates are desired in the output

dataframe where raw REDCap data dictionary dataframe is processed to a concept level where the target_cols parameter identifies the target columns in the raw data as concepts

patelm9/cartographR documentation built on Dec. 18, 2019, 5:54 a.m.