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Package: daDoctoR
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Type: Package
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Title: FUNCTIONS FOR HEALTH RESEARCH
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Version: 0.1.0.9011
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Version: 0.1.0.9012
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Author@R: c(person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut")))
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Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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Description: I am a Danish medical doctor involved in neuropsychiatric research.
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#' A repeated epi.tests function
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#'
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#' Repeats the epi.tests from the epiR package.
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#' Repeats the epi.tests from the epiR package. Either gs or test should be of length 1.
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#' @description For bivariate analyses. The confint() function is rather slow, causing the whole function to hang when including many predictors and calculating the ORs with CI.
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#' @param gs the test or meassure used as "golden standard". Format as dichotomised factor.
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#' @param gold the test or meassure used as "golden standard". Format as dichotomised factor.
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#' @param test possible predictive tests to evaluate. Format as dichotomised factor.
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#' @param data dataframe to draw variables from.
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#' @keywords ppv npv sensitivity specificity
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#' @export
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#' @examples
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#' rep_epi_tests()
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rep_epi_tests<-function(gs,test){
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rep_epi_tests<-function(gold,test,data){
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require(epiR)
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d<-data
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test<-d[,c(test)]
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gs<-d[,c(gold)]
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ls<-list()
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if (length(gold)==1){
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for (i in 1:ncol(test)){
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t<-table(test[,i],gs)
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rval <- epi.tests(t, conf.level = 0.95)
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n<-names(test)[i]
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ls[[i]]<-list(n,rval)
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}}
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else {
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for (i in 1:ncol(gs)){
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t<-table(test,gs[,i])
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rval <- epi.gss(t, conf.level = 0.95)
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n<-names(gs)[i]
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ls[[i]]<-list(n,rval)
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}
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}
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return(ls)
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}
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\alias{rep_epi_tests}
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\title{A repeated epi.tests function}
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\usage{
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rep_epi_tests(gs, test)
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rep_epi_tests(gold, test, data)
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}
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\arguments{
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\item{gs}{the test or meassure used as "golden standard". Format as dichotomised factor.}
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\item{gold}{the test or meassure used as "golden standard". Format as dichotomised factor.}
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\item{test}{possible predictive tests to evaluate. Format as dichotomised factor.}
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\item{data}{dataframe to draw variables from.}
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}
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\description{
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For bivariate analyses. The confint() function is rather slow, causing the whole function to hang when including many predictors and calculating the ORs with CI.
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}
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\details{
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Repeats the epi.tests from the epiR package.
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Repeats the epi.tests from the epiR package. Either gs or test should be of length 1.
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}
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\examples{
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rep_epi_tests()
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