Get the name of the intervals column that the imputation methods come from

get_impute_column() applies the first two of the three readings of impute described in get_impute_method() and says which column get_impute_method() reads the methods from. It does not read the column, so it does not check that the column is character.

Usage

get_impute_column(intervals, impute)

Arguments

intervals

the data.frame of intervals

impute

the imputation definition – either the name of a column in intervals (character scalar), NA to look for a generic "impute" column, or the imputation method string. Must be an atomic scalar; a list (even of length 1) is rejected.

Value

The name of the column of intervals that the methods come from (character scalar): impute when it names a column of intervals, or "impute" when impute is NA and intervals has a column named "impute". NULL when impute is itself the method string, or is NA and there is no "impute" column, so there is no column.

See also

Other Imputation: PKNCA_impute_fun_list(), PKNCA_impute_method, assert_impute_method(), get_impute_method(), pknca_impute_methods()

Examples

intervals <- data.frame(start = 0, end = 24, impute = "start_conc0", my_impute = "start_cmin")
get_impute_column(intervals, impute = "my_impute")
#> [1] "my_impute"
get_impute_column(intervals, impute = NA)
#> [1] "impute"
# A method string is not a column
get_impute_column(intervals, impute = "start_predose")
#> NULL
# NA without an "impute" column is not a column either
get_impute_column(intervals[, c("start", "end")], impute = NA)
#> NULL