ff_remove_ref {finalfit} | R Documentation |
This looks for a column with a name including "Coefficient", "OR", or "HR"
(finalfit
defaults) and removes any rows with "-" (the default
for the reference level). Can also be combined to produce an
or_plot
, see below.
ff_remove_ref(.data, only_binary = TRUE) finalfit_remove_ref(.data, only_binary = TRUE)
.data |
Output from |
only_binary |
Logical. Remove reference level only for two-level factors. When set to false, reference level for all factors removed. |
Data frame.
# Table example explanatory = c("age.factor", "age", "sex.factor", "nodes", "obstruct.factor", "perfor.factor") dependent = 'mort_5yr' colon_s %>% finalfit(dependent, explanatory, add_dependent_label = FALSE) %>% ff_remove_ref() %>% dependent_label(colon_s, dependent) # Plot example explanatory = c("age.factor", "age", "sex.factor", "nodes", "obstruct.factor", "perfor.factor") dependent = 'mort_5yr' colon_s %>% summary_factorlist(dependent, explanatory, total_col = TRUE, fit_id=TRUE) %>% ff_merge( glmuni(colon_s, dependent, explanatory) %>% fit2df()) %>% ff_remove_ref() %>% dplyr::select(-`OR`) -> factorlist_plot colon_s %>% or_plot(dependent, explanatory, factorlist = factorlist_plot)