Check data frame columns against currently set restrictions

Once the DUA crosswalk and level have been set, a working data frame can be checked against active data element restrictions. The data frame must pass before it can be writen using write_dua_df().

check_dua_restrictions(df)

Arguments

df

Data frame to check against set DUA restriction level.

Examples

## --------------
## Setup
## --------------
## set DUA crosswalk
dua_cw <- system.file('extdata', 'dua_cw.csv', package = 'duawranglr')
set_dua_cw(dua_cw)
#> -- duawranglr note -------------------------------------------------------------
#> DUA crosswalk has been set!
## read in data
admin <- system.file('extdata', 'admin_data.csv', package = 'duawranglr')
df <- read_dua_file(admin)
## --------------

## set restriction level
set_dua_level('level_iii')

## show restrictions
see_dua_level(show_restrictions = TRUE)
#> --------------------------------------------------------------------------------
#> You have set restrictions at [ level_iii ]
#> --------------------------------------------------------------------------------
#> 
#> RESTRICTED VARIABLE NAMES:
#>  - sid
#>  - sname
#>  - tname
#>  
#> --------------------------------------------------------------------------------

## see variables in administrative data file
names(df)
#>  [1] "sid"     "sname"   "dob"     "gender"  "raceeth" "tid"     "tname"  
#>  [8] "zip"     "mathscr" "readscr"

## remove restrictive variables
df <- dplyr::select(df, -c(sid,sname,tname))

## confirm
check_dua_restrictions(df)
#> -- duawranglr note -------------------------------------------------------------
#> Data set has passed check and may be saved.