dependent_label: Make a label for the dependent variable

In finalfit: Quickly Create Elegant Regression Results Tables and Plots when Modelling

Make a label for the dependent variable

Description

Can be add dependent label to final results dataframe.

Usage

dependent_label(df.out, .data, dependent, prefix = "Dependent: ", suffix = "")

Arguments

df.out	Dataframe (results table) to be altered.
.data	Original dataframe.
dependent	Character vector of length 1: quoted name of depdendent variable. Can be continuous, a binary factor, or a survival object of form Surv(time, status)
prefix	Prefix for dependent label
suffix	Suffix for dependent label

Value

Returns the label for the dependent variable, if specified.

Examples

library(dplyr)
explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
explanatory_multi = c("age.factor", "obstruct.factor")
random_effect = "hospital"
dependent = 'mort_5yr'

# Separate tables
colon_s %>%
	summary_factorlist(dependent, explanatory, fit_id=TRUE) -> example.summary

colon_s %>%
	glmuni(dependent, explanatory) %>%
	fit2df(estimate_suffix=" (univariable)") -> example.univariable

colon_s %>%
	 glmmulti(dependent, explanatory) %>%
	 fit2df(estimate_suffix=" (multivariable)") -> example.multivariable

colon_s %>%
  glmmixed(dependent, explanatory, random_effect) %>%
	 fit2df(estimate_suffix=" (multilevel") -> example.multilevel

# Pipe together
example.summary %>%
  finalfit_merge(example.univariable) %>%
  finalfit_merge(example.multivariable) %>%
	 finalfit_merge(example.multilevel) %>%
	 select(-c(fit_id, index)) %>%
	 dependent_label(colon_s, dependent) -> example.final
  example.final

finalfit documentation built on Sept. 11, 2024, 9:01 p.m.