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39 lines
1.2 KiB
R
39 lines
1.2 KiB
R
#' A repeated function for bivariate analyses
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#'
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#' For bivariate analyses, for gating by p-value or change-in-estimate.
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#' @param y Effect meassure.
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#' @param v1 Main variable in model
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#' @param string String of columnnames to include. Obtained with dput(). Input as c().
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#' @param data dataframe of data to analyse
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#' @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.
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#' @param logistic flag for logistic binomial regression or not (linear is then selected).
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#' @keywords logistic regression
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#' @export
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#' @examples
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#' rep_biv()
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rep_biv<-function(y,v1,string,data,method="pval",logistic=FALSE,ci=FALSE,cut=0.1,v2=NULL,v3=NULL){
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require(daDoctoR)
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a<-y
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b<-v1
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s<-string
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dat<-data
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me<-method
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log<-logistic
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CI<-ci
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ct<-cut
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if (me=="pval"&log==FALSE){
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daDoctoR::rep_lm(y=a,v1=b,string=s,data=dat,ci=CI)
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}
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if (me=="pval"&log==TRUE){
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daDoctoR::rep_lm(y=a,v1=b,string=s,data=dat,ci=CI)
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}
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if (method=="cie"){
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daDoctoR::cie_test(y=a,v1=b,string=s,data=dat,logistic=log,cut=ct)
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}
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return(result)
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}
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