This commit is contained in:
agdamsbo 2018-10-02 21:19:32 +02:00
parent b2e02094b6
commit c037733f28
5 changed files with 36 additions and 3 deletions

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^.*\.Rproj$
^\.Rproj\.user$

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.Rproj.user
.Rhistory
.RData
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#' A repeated function #' A repeated function for bivariate analyses
#' #'
#' For bivariate analyses, for gating by p-value or change-in-estimate. #' For bivariate analyses, for gating by p-value or change-in-estimate.
#' @param y Effect meassure. #' @param y Effect meassure.
#' @param v1 Main variable in model #' @param v1 Main variable in model
#' @param string String of columnnames to include. Obtained with dput(). Input as c().
#' @param data dataframe of data to analyse
#' @keywords logistic regression #' @keywords logistic regression
#' @export #' @export
#' @examples #' @examples

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daDoctoR.Rproj Normal file
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Version: 1.0
RestoreWorkspace: Default
SaveWorkspace: Default
AlwaysSaveHistory: Default
EnableCodeIndexing: Yes
UseSpacesForTab: Yes
NumSpacesForTab: 2
Encoding: UTF-8
RnwWeave: Sweave
LaTeX: pdfLaTeX
AutoAppendNewline: Yes
StripTrailingWhitespace: Yes
BuildType: Package
PackageUseDevtools: Yes
PackageInstallArgs: --no-multiarch --with-keep.source
PackageCheckArgs: --as-cran

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% Please edit documentation in R/rep_biv.R % Please edit documentation in R/rep_biv.R
\name{rep_biv} \name{rep_biv}
\alias{rep_biv} \alias{rep_biv}
\title{A repeated function} \title{A repeated function for bivariate analyses}
\usage{ \usage{
rep_biv(y, v1, string, data, method = "pval", logistic = FALSE, rep_biv(y, v1, string, data, method = "pval", logistic = FALSE,
ci = FALSE, cut = 0.1, v2 = NULL, v3 = NULL) ci = FALSE, cut = 0.1, v2 = NULL, v3 = NULL)
@ -11,6 +11,10 @@ rep_biv(y, v1, string, data, method = "pval", logistic = FALSE,
\item{y}{Effect meassure.} \item{y}{Effect meassure.}
\item{v1}{Main variable in model} \item{v1}{Main variable in model}
\item{string}{String of columnnames to include. Obtained with dput(). Input as c().}
\item{data}{dataframe of data to analyse}
} }
\description{ \description{
For bivariate analyses, for gating by p-value or change-in-estimate. For bivariate analyses, for gating by p-value or change-in-estimate.