Create new local directory /survey-processed/ASEC/2019 and new .R script ASEC_2019_H_processed.R inside it. See analogous RECS and ACS processing scripts for use as templates for code development.
Ensure that your new ASEC_2019_H_processed.R script contains the following code at the very end to commit the processed data dictionary and microdata to disk for year 2019.
# Create dictionary and save to disk
dictionary <- createDictionary(data = d, survey = "ASEC", vintage = 2019, respondent = "H")
saveRDS(object = dictionary, file = "survey-processed/ASEC/2019/ASEC_2019_H_dictionary.rds")
#----------------
# Save data to disk (.fst)
fst::write_fst(x = d, path = "survey-processed/ASEC/2019/ASEC_2019_H_processed.fst", compress = 100)
Create new local directory
/survey-processed/ASEC/2019
and new .R scriptASEC_2019_H_processed.R
inside it. See analogous RECS and ACS processing scripts for use as templates for code development.Ensure that your new
ASEC_2019_H_processed.R
script contains the following code at the very end to commit the processed data dictionary and microdata to disk for year 2019.