Summarise a dataframe to a person level — person

In cases where we have a long data frame (i.e., multiple rows of data per participant) with a flag against each record (e.g., variable x = "Yes"/"No"), this function will collapse this dataframe to a participant level.

Usage

person_summary(data, flag_category, flag_category_val = "Yes", grouping_var)

Arguments

data: Input dataframe.
flag_category: Name of the variable to perform classification on.
flag_category_val: String value of the flag_category variable the flag will be judged against. Defaults to "Yes".
grouping_var: Grouping ID variable that identifies potentially multiple records per participant.

Details

The collapsing is based on the value of flag_category_val and a grouping variable (participant ID) grouping_var.

Specifically, records will be collapsed such that:

If any record(s) for a participant is equal to flag_category_val, then return "Yes".
If all record(s) for a participant are not equal to flag_category_val, then return "No".

Examples

if (FALSE) { # \dontrun{
person_summary(data = dat,
               flag_category = "variable_x",
               flag_category_val = "Yes",
               grouping_var = "record_id"
               )
} # }