This function forces values the variables in
.var to take constant values within combinations of the variables in
fixed_force() will return a data frame with consistency enforced.
fixed_force( .df, .var = NULL, .within = NULL, .resolve = mode_order, .flag = NA )
Data frame, pibble, or tibble.
Quoted or unquoted variable(s) in
Quotes or unquoted variable(s) that the
Function capable of being passed to
String indicating the name of a new variable that flags any observations altered by
Inconsistencies will be resolved by the function
.resolve. Or, set
'drop' (or any string, really) to drop all cases with inconsistency.
data(Scorecard) # The variables pred_degree_awarded_ipeds and state_abbr should be constant within unitid # However, sometimes colleges change what they offer. # For the purpose of my analysis, though, # I want to treat any changers as whatever they are most often (the mode). # So let's enforce that with fixed_force Scorecard <- fixed_force(Scorecard, .var = c(pred_degree_awarded_ipeds, state_abbr), .within = unitid, .flag = "changed" ) # Did we catch any changers? table(Scorecard$changed)#> #> FALSE TRUE #> 48392 53# We did!