mirror of
https://github.com/agdamsbo/daDoctoR.git
synced 2024-11-21 19:30:22 +01:00
38 lines
1.2 KiB
R
38 lines
1.2 KiB
R
#' A repeated epi.tests function
|
|
#'
|
|
#' Repeats the epi.tests from the epiR package. Either gs or test should be of length 1.
|
|
#' @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.
|
|
#' @param gold the test or meassure used as "golden standard". Format as list of variable names to include. All variables should be formated as dichotomised factor.
|
|
#' @param test possible predictive tests to evaluate. Format as list of variable names to include. All variables should be formated as dichotomised factor.
|
|
#' @param data dataframe to draw variables from.
|
|
#' @keywords ppv npv sensitivity specificity
|
|
#' @export
|
|
|
|
rep_epi_tests<-function(gold,test,data){
|
|
require(epiR)
|
|
|
|
d<-data
|
|
tst<-d[,c(test)]
|
|
|
|
gs<-d[,c(gold)]
|
|
|
|
ls<-list()
|
|
|
|
if (length(gold)==1){
|
|
for (i in 1:ncol(tst)){
|
|
t<-table(tst[,i],gs)
|
|
rval <- epi.tests(t, conf.level = 0.95)
|
|
n<-names(tst)[i]
|
|
ls[[i]]<-list(n,rval)
|
|
}}
|
|
else {
|
|
for (i in 1:ncol(gs)){
|
|
t<-table(tst,gs[,i])
|
|
rval <- epi.tests(t, conf.level = 0.95)
|
|
n<-names(gs)[i]
|
|
ls[[i]]<-list(n,rval)
|
|
}
|
|
}
|
|
return(ls)
|
|
}
|