daDoctoR/man/strobe_diff_bygroup.Rd

33 lines
1.1 KiB
Plaintext
Raw Normal View History

2018-10-05 10:22:02 +02:00
% Generated by roxygen2: do not edit by hand
2018-10-05 14:28:27 +02:00
% Please edit documentation in R/strobe_diff_bygroup.R
\name{strobe_diff_bygroup}
\alias{strobe_diff_bygroup}
2018-10-05 10:22:02 +02:00
\title{Print regression results according to STROBE}
\usage{
2018-10-05 14:28:27 +02:00
strobe_diff_bygroup(meas, var, group, adj, data, dec = 2)
2018-10-05 10:22:02 +02:00
}
\arguments{
\item{meas}{outcome measure variable name in data-data.frame as a string. Can be numeric or factor. Result is calculated accordingly.}
2018-10-05 10:22:02 +02:00
2018-10-10 12:00:41 +02:00
\item{var}{binary exposure variable to compare against (active vs placebo). As string.}
2018-10-05 10:22:02 +02:00
\item{group}{binary group to compare, as string.}
2019-11-12 14:12:27 +01:00
2018-10-05 10:22:02 +02:00
\item{adj}{variables to adjust for, as string.}
\item{data}{dataframe to subset from.}
2018-10-05 10:22:02 +02:00
2019-02-03 12:14:29 +01:00
\item{dec}{decimals for results, standard is set to 2. Mean and sd is dec-1. pval has 3 decimals.}
2018-10-05 10:22:02 +02:00
}
\description{
Printable table of two dimensional regression analysis of group vs variable for outcome measure. By group. Includes p-value
Group and variable has to be dichotomous factor.
}
\examples{
data('mtcars')
mtcars$vs<-factor(mtcars$vs)
mtcars$am<-factor(mtcars$am)
strobe_diff_bygroup(meas="mpg",var="vs",group = "am",adj=c("disp","wt"),data=mtcars)
2018-10-05 10:22:02 +02:00
}
2018-10-10 11:52:02 +02:00
\keyword{strobe}