daDoctoR/man/strobe_olr.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/print_olr.R, R/strobe_olr.R
\name{strobe_olr}
\alias{strobe_olr}
\title{OBSOLETE - use 'print_olr'}
\usage{
strobe_olr(meas, vars, data, dec = 2, n.by.adj = FALSE)

strobe_olr(meas, vars, data, dec = 2, n.by.adj = FALSE)
}
\arguments{
\item{meas}{outcome meassure variable name or response in data-data.frame as a string. Should be factor, preferably ordered.}

\item{vars}{variables to compare against. As vector of columnnames.}

\item{data}{dataframe of data.}

\item{dec}{decimals for results, standard is set to 2. Mean and sd is dec-1.}

\item{n.by.adj}{flag to indicate wether to count number of patients in adjusted model or overall for outcome meassure not NA.}
}
\description{
Print ordinal logistic regression results according to STROBE
}
\details{
Printable table of ordinal logistic regression with bivariate and multivariate analyses.
Table according to STROBE. Uses polr() funtion of the MASS-package.
Formula analysed is the most simple m~v1+v2+vn. The is no significance test. Results are point estimates with 95 percent CI.

Print ordinal logistic regression results according to STROBE
}
\details{
Printable table of ordinal logistic regression with bivariate and multivariate analyses.
Table according to STROBE. Uses polr() funtion of the MASS-package.
Formula analysed is the most simple m~v1+v2+vn. The is no significance test. Results are point estimates with 95 percent CI.
}
\keyword{olr}