ff_remove_ref {finalfit}

Remove regression reference level row from table

Description

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.

Usage

ff_remove_ref(.data, only_binary = TRUE)

finalfit_remove_ref(.data, only_binary = TRUE)

Arguments

.data

Output from finalfit or similar.

only_binary

Logical. Remove reference level only for two-level factors. When set to false, reference level for all factors removed.

Value

Data frame.

Examples

# 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)