Add column totals to summary_factorlist() output
Add column totals to summary_factorlist() output
ff_column_totals(df.in, .data, dependent, na_include_dependent = FALSE, percent = TRUE, digits = 1, label = NULL, prefix = "") finalfit_column_totals(df.in, .data, dependent, na_include_dependent = FALSE, percent = TRUE, digits = 1, label = NULL, prefix = "")
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 1. Number of digits for percentage. |
label |
Character. Label for total row. |
prefix |
Character. Prefix for column totals, e.g "N=". |
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.