lmuni: Linear regression univariable models: 'finalfit' model...

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Linear regression univariable models: finalfit model wrapper

Description

Using finalfit conventions, produces multiple univariable linear regression models for a set of explanatory variables against a continuous dependent.

Usage

lmuni(.data, dependent, explanatory, weights = "", ...)

Arguments

.data	Dataframe.
dependent	Character vector of length 1, name of depdendent variable (must be continuous vector).
explanatory	Character vector of any length: name(s) of explanatory variables.
weights	Character vector of length 1: name of variabe for weighting. 'Prior weights' to be used in the fitting process.
...	Other arguments to pass to lm.

Details

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

Value

A list of multivariable lm fitted model outputs. Output is of class lmlist.

See Also

fit2df

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

Examples

library(finalfit)
library(dplyr)

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

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

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