lmuni {finalfit} | R Documentation |
finalfit
model wrapperUsing finalfit
conventions, produces multiple univariable linear
regression models for a set of explanatory variables against a continuous dependent.
lmuni(.data, dependent, explanatory, weights = "", ...)
.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 |
Uses lm
with finalfit
modelling conventions. Output can be
passed to fit2df
.
A list of multivariable lm
fitted model outputs.
Output is of class lmlist
.
Other finalfit model wrappers:
coxphmulti()
,
coxphuni()
,
crrmulti()
,
crruni()
,
glmmixed()
,
glmmulti_boot()
,
glmmulti()
,
glmuni()
,
lmmixed()
,
lmmulti()
,
svyglmmulti()
,
svyglmuni()
library(finalfit) library(dplyr) explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor") dependent = "nodes" colon_s %>% lmuni(dependent, explanatory) %>% fit2df()