daDoctoR/man/print_pred_stratum.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/print_pred_stratum.R
\name{print_pred_stratum}
\alias{print_pred_stratum}
\title{Extension to the print_pred function, for by stratum analysis.}
\usage{
print_pred_stratum(
  meas,
  adj,
  strat,
  data,
  dec = 2,
  n.by.adj = FALSE,
  p.val = FALSE,
  include.stratum = T
)
}
\arguments{
\item{meas}{binary outcome measure variable, column name in data.frame as a string. Can be numeric or factor. Result is calculated accordingly.}

\item{adj}{variables to adjust for, as string.}

\item{strat}{stratum to stratify, variable name as string}

\item{data}{dataframe of data.}

\item{include.stratum}{flag to set if stratum variable should be included in first analysis of non-stratified data.}
}
\description{
Outputs list of results from 'print_pred' for the whole data set and for each stratum defined by 'strat'.
Suitable to assist in determining whether a variable is a confounder or effect modifier.
Ref: https://open.oregonstate.education/epidemiology/chapter/effect-modification/
}
\examples{
  data('mtcars')
  mtcars$vs<-factor(mtcars$vs)
  mtcars$am<-factor(mtcars$am)
  print_pred_stratum(meas="mpg",strat="vs",adj=c("disp","wt","am"),data=mtcars,include.stratum=TRUE)
}
\keyword{stratum}