finalfit: lmmulti – R documentation

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lmmulti

Linear regression multivariable models: finalfit model wrapper

Description

Using finalfit conventions, produces a multivariable linear regression model for a set of explanatory variables against a continuous dependent.

Usage

lmmulti(.data, dependent, explanatory, ...)

Arguments

`.data`	Dataframe.
`dependent`	Character vector of length 1: name of depdendent variable (must a continuous vector).
`explanatory`	Character vector of any length: name(s) of explanatory variables.
`...`	Other arguments to pass to `lm`.

Details

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

Value

A multivariable lm fitted model.

Examples

library(finalfit)
library(dplyr)

explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
dependent = "nodes"

colon_s %>%
  lmmulti(dependent, explanatory) %>%
  fit2df()

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