mirror of
https://github.com/agdamsbo/daDoctoR.git
synced 2024-11-23 12:20:22 +01:00
29 lines
1.0 KiB
R
29 lines
1.0 KiB
R
% Generated by roxygen2: do not edit by hand
|
|
% Please edit documentation in 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)
|
|
}
|
|
\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.
|
|
}
|
|
\keyword{olr}
|