finalfit: glmmulti – R documentation

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glmmulti

Binomial logistic regression multivariable models: finalfit model wrapper

Description

Using finalfit conventions, produces a multivariable binomial logistic regression model for a set of explanatory variables against a binary dependent.

Usage

glmmulti(.data, dependent, explanatory, family = "binomial", ...)

Arguments

`.data`	Data frame.
`dependent`	Character vector of length 1: name of depdendent variable (must have 2 levels).
`explanatory`	Character vector of any length: name(s) of explanatory variables.
`family`	Character vector quoted or unquoted of the error distribution and link function to be used in the model, see `glm`.
`...`	Other arguments to pass to `glm`.

Details

Uses glm with finalfit modelling conventions. Output can be passed to fit2df.

Value

A multivariable glm fitted model.

Examples

library(finalfit)
library(dplyr)
explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
dependent = "mort_5yr"

colon_s %>%
	glmmulti(dependent, explanatory) %>%
	fit2df(estimate_suffix=" (univariable)")

finalfit

Quickly Create Elegant Regression Results Tables and Plots when Modelling

v1.0.2

MIT + file LICENCE

Authors

Ewen Harrison [aut, cre], Tom Drake [aut], Riinu Ots [aut]

Initial release