finalfit (version 1.0.2)

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.

Value

A multivariable lm fitted model.

Details

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

See Also

fit2df

Other finalfit model wrappers: coxphmulti, coxphuni, crrmulti, crruni, glmmixed, glmmulti_boot, glmmulti, glmuni, lmmixed, lmuni, svyglmmulti, svyglmuni

Examples

# NOT RUN {
library(finalfit)
library(dplyr)

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

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

# }