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24 lines
738 B
R
24 lines
738 B
R
#' An ordinal logistic regression function for plotting
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#'
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#' 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.
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#' @param meas primary outcome (factor with >2 levels).
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#' @param vars variables in model. Input as c() of columnnames, use dput().
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#' @param dta data frame to pull variables from.
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#' @keywords olr
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#' @export
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#' @examples
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#' comb_olr()
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comb_olr<-function(meas,vars,data){
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require(MASS)
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ad<-vars
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d<-data
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d2<-d[,c(meas,ad)]
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names(d2)[1]<-"meas"
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x<-polr(meas~.,data = d2,Hess = TRUE)
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mat<-cbind(exp(coef(x), exp(confint(x))))
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return(data.frame(mat,stringsAsFactors = FALSE))
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}
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