rm(list=ls(all=t))
filename <- "0_t1_gnrl_info_relabelled" # !!!Update filename
functions_vers <- "functions_1.7.R" # !!!Update helper functions file
source (functions_vers)
Visually inspect variables in "dictionary.csv" and flag for risk, using the following flags:
# Direct PII: Respondent Names, Addresses, Identification Numbers, Phone Numbers
# Direct PII-team: Interviewer Names, other field team names
# Indirect PII-ordinal: Date of birth, Age, income, education, household composition.
# Indirect PII-categorical: Gender, education, ethnicity, nationality,
# occupation, employer, head of household, marital status
# GPS: Longitude, Latitude
# Small Location: Location (<100,000)
# Large Location (>100,000)
# Weight: weightVar
# Household ID: hhId,
# Open-ends: Review responses for any sensitive information, redact as necessary
# !!! No Direct PII
# !!! No Direct PII-team
!!!Include relevant variables, but check their population size first to confirm they are <100,000
dropvars <- c("t1_dise_code")
mydata <- mydata[!names(mydata) %in% dropvars]
# !!! No Indirect PII - Ordinal
# !!! No Indirect PII - Categorical
# Not enough variables for matching possible
# !!! No open-ends
# !!! No GPS
Adds "_PU" (Public Use) to the end of the name
haven::write_dta(mydata, paste0(filename, "_PU.dta"))
haven::write_sav(mydata, paste0(filename, "_PU.sav"))
# Add report title dynamically
title_var <- paste0("DOL-ILAB SDC - ", filename)