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agdamsbo 2018-10-03 08:42:37 +02:00
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R/rep_biv.R
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@ -6,6 +6,7 @@
#' @param string String of columnnames to include. Obtained with dput(). Input as c(). #' @param string String of columnnames to include. Obtained with dput(). Input as c().
#' @param data dataframe of data to analyse #' @param data dataframe of data to analyse
#' @param method method of gating analysis. Can be "pval" for a simple analysis of p-values below or equal to 0.1 or "cie" for change in estimate to asses the change of the estimate when a second variable is added to the model. #' @param method method of gating analysis. Can be "pval" for a simple analysis of p-values below or equal to 0.1 or "cie" for change in estimate to asses the change of the estimate when a second variable is added to the model.
#' @param logistic flag for logistic binomial regression or not (linear is then selected).
#' @keywords logistic regression #' @keywords logistic regression
#' @export #' @export
#' @examples #' @examples

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man/rep_biv.Rd
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@ -17,6 +17,8 @@ rep_biv(y, v1, string, data, method = "pval", logistic = FALSE,
\item{data}{dataframe of data to analyse} \item{data}{dataframe of data to analyse}
\item{method}{method of gating analysis. Can be "pval" for a simple analysis of p-values below or equal to 0.1 or "cie" for change in estimate to asses the change of the estimate when a second variable is added to the model.} \item{method}{method of gating analysis. Can be "pval" for a simple analysis of p-values below or equal to 0.1 or "cie" for change in estimate to asses the change of the estimate when a second variable is added to the model.}
\item{logistic}{flag for logistic binomial regression or not (linear is then selected).}
} }
\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.