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process datalibweb data. Use S3 method to identify whether the data is microdata, groupdata or imputed data

Usage

process_data(df, ...)

# S3 method for pipmd
process_data(df, pfw, ...)

# S3 method for pipgd
process_data(df, pfw, ...)

# S3 method for default
process_data(df, ...)

Arguments

df

dataframe loaded with pipload::pip_load_dlw()

...

other parameters

pfw

dataframe with Price Framework data loaded with pipload::pip_load_aux("pfw")

Value

data.table

Examples

pfw <- pipload::pip_load_aux("pfw")
#> ! root_dir is not defined. Directory paths will lack network-drive root
#> directory
#> Error: [ENOENT] Failed to search directory '/pip_ingestion_pipeline/pc_data/cache/clean_survey_data': no such file or directory

gd  <- pipload::pip_load_dlw("CHN", 2015)
#> ! root_dir is not defined. Directory paths will lack network-drive root
#> directory
#> Error: [ENOENT] Failed to search directory '/pip_ingestion_pipeline/pc_data/cache/clean_survey_data': no such file or directory
process_data(gd, pfw)
#> Error in process_data(gd, pfw): object 'gd' not found

md   <- pipload::pip_load_dlw(country = "PRY", 2012)
#> ! root_dir is not defined. Directory paths will lack network-drive root
#> directory
#> Error: [ENOENT] Failed to search directory '/pip_ingestion_pipeline/pc_data/cache/clean_survey_data': no such file or directory
process_data(md, pfw)
#> Error in process_data(md, pfw): object 'md' not found