daDoctoR/R/comb_olr.R
2019-11-08 12:22:49 +01:00

21 lines
711 B
R

#' An ordinal logistic regression function for plotting
#'
#' Should be combined with "rep_olr()". The confint() function is rather slow, causing the whole function to hang when including many predictors and calculating the ORs with CI.
#' @param meas primary outcome (factor with >2 levels).
#' @param vars variables in model. Input as c() of columnnames, use dput().
#' @param data data frame to pull variables from.
#' @keywords olr
#' @export
comb_olr<-function(meas,vars,data){
require(MASS)
ad<-vars
d<-data
d2<-d[,c(meas,ad)]
names(d2)[1]<-"meas"
x<-polr(meas~.,data = d2,Hess = TRUE)
mat<-cbind(exp(coef(x)), exp(confint(x)))
return(data.frame(mat,stringsAsFactors = FALSE))
}