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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/rep_lm.R
\name{rep_lm}
\alias{rep_lm}
\title{A repeated linear regression function}
\usage{
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rep_lm(
meas,
vars = NULL,
string,
ci = FALSE,
data,
fixed.var = FALSE,
cut.p = 0.1
)
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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().}
\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 percent confidence interval.}
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\item{data}{data frame to pull variables from.}
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\item{fixed.var}{flag to set "vars" as fixed in the model. When FALSE, then true bivariate linear regression is performed.}
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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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Output is a list with two elements: data frame with test results and vector of variable names (from 'string') to include determined by set cutoff ('cut.p').
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}
\keyword{linear}
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\keyword{regression}