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36 lines
1.0 KiB
R
36 lines
1.0 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/rep_lm.R
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\name{rep_lm}
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\alias{rep_lm}
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\title{A repeated linear regression function}
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\usage{
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rep_lm(meas, vars, string, ci = FALSE, data)
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}
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\arguments{
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\item{meas}{Effect meassure. Input as c() of columnnames, use dput().}
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\item{vars}{variables in model. Input as c() of columnnames, use dput().}
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\item{string}{variables to test. Input as c() of columnnames, use dput().}
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\item{ci}{flag to get results as OR with 95% confidence interval.}
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\item{data}{data frame to pull variables from.}
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}
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\description{
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For bivariate analyses, to determine which variables to include in adjusted model.
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}
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\examples{
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l<-50
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y<-factor(rep(c("a","b"),l))
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x<-rnorm(length(y), mean=50, sd=10)
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v1<-factor(rep(c("r","s"),length(y)/2))
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v2<-sample(1:100, length(y), replace=FALSE)
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v3<-as.numeric(1:length(y))
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d<-data.frame(y,x,v1,v2,v3)
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preds<-c("v1","v2","v3")
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rep_lm(meas="x",vars="y",string=preds,ci=F,data=d)
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}
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\keyword{linear}
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\keyword{regression}
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