ff_column_totals {finalfit} | R Documentation |
summary_factorlist()
outputAdd column totals to summary_factorlist()
output
ff_column_totals( df.in, .data, dependent, na_include_dependent = FALSE, percent = TRUE, digits = c(1, 0), label = NULL, prefix = "", weights = NULL ) finalfit_column_totals( df.in, .data, dependent, na_include_dependent = FALSE, percent = TRUE, digits = c(1, 0), label = NULL, prefix = "", weights = NULL )
df.in |
|
.data |
Data frame used to create |
dependent |
Character. Name of dependent variable. |
na_include_dependent |
Logical. When TRUE, missing data in the dependent variable is included in totals. |
percent |
Logical. Include percentage. |
digits |
Integer length 2. Number of digits for (1) percentage, (2) weighted count. |
label |
Character. Label for total row. |
prefix |
Character. Prefix for column totals, e.g "N=". |
weights |
Character vector of length 1: name of column to use for weights. |
Data frame.
explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = 'mort_5yr' colon_s %>% summary_factorlist(dependent, explanatory) %>% ff_column_totals(colon_s, dependent) # Ensure works with missing data in dependent colon_s = colon_s %>% dplyr::mutate( mort_5yr = forcats::fct_explicit_na(mort_5yr) ) colon_s %>% summary_factorlist(dependent, explanatory) %>% ff_column_totals(colon_s, dependent)