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@ -1,6 +1,6 @@
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Package: daDoctoR
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Package: daDoctoR
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Title: Functions For Health Research
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Title: Functions For Health Research
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Version: 0.19.10
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Version: 0.19.11
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Year: 2019
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Year: 2019
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Author: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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Author: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
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@ -21,10 +21,9 @@ plot_biv_olr<-function(meas,vars,data, title = NULL,dec=3,lbls=NULL,hori="OR (95
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d <- data
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d <- data
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x <- data.frame(d[, c(ad)])
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x <- data.frame(d[, c(ad)])
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y <- d[, c(meas)]
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y <- d[, c(meas)]
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dt <- cbind(y, x)
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if (analysis=="biv"){
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if (analysis=="biv"){
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dt <- cbind(y, x)
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odds<-c(matrix(ncol = 3))
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odds<-c(matrix(ncol = 3))
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nms<-c("or","lo","hi")
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nms<-c("or","lo","hi")
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for (i in 1:ncol(x)) {
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for (i in 1:ncol(x)) {
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@ -41,8 +40,7 @@ odds<-odds[-1,]
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}
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}
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if (analysis=="multi"){
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if (analysis=="multi"){
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m<-polr(y~.,data = dt,Hess = TRUE)
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m<-polr(y~.,data = dta2,Hess = TRUE)
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odds<-data.frame(cbind(exp(coef(m)), exp(confint(m))))
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odds<-data.frame(cbind(exp(coef(m)), exp(confint(m))))
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}
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}
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names(odds)<-c("or", "lo", "up")
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names(odds)<-c("or", "lo", "up")
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