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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: 0.1.0.9013
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Version: 0.1.0.9014
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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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#' Forrest plot from ordinal logistic regression
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#'
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#' Heavily inspired by https://www.r-bloggers.com/plotting-odds-ratios-aka-a-forrestplot-with-ggplot2/
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#' @param x ordinal logistic regression model.
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#' @param x input data.
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#' @param title plot title
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#' @param dec decimals for labels
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#' @param lbls labels for variable names. Carefull, as the right order is not checked automatically!
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#' @param short flag to half number of ticks on horizontal axis.
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#' @param input can be either "model", which is a olr model (polr()), or "df", which is a dataframe whith three columns for OR, lower CI and upper CI-
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#' @keywords forestplot
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#' @export
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#' @examples
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#' plot_ord_odds()
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plot_ord_odds<-function(x, title = NULL,dec=3,lbls=NULL,short=FALSE){
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plot_ord_odds<-function(x, title = NULL,dec=3,lbls=NULL,short=FALSE,input="model"){
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require(ggplot2)
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odds<-data.frame(cbind(exp(coef(x)), exp(confint(x))))
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if (input=="model"){
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odds<-data.frame(cbind(exp(coef(x)), exp(confint(x))))
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}
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if (input=="df"){
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odds<-x
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}
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names(odds)<-c("or", "lo", "up")
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rodds<-round(odds,digits = dec)
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\alias{plot_ord_odds}
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\title{Forrest plot from ordinal logistic regression}
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\usage{
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plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL, short = FALSE)
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plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL, short = FALSE,
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input = "model")
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}
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\arguments{
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\item{x}{ordinal logistic regression model.}
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\item{x}{input data.}
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\item{title}{plot title}
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@ -16,6 +17,8 @@ plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL, short = FALSE)
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\item{lbls}{labels for variable names. Carefull, as the right order is not checked automatically!}
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\item{short}{flag to half number of ticks on horizontal axis.}
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\item{input}{can be either "model", which is a olr model (polr()), or "df", which is a dataframe whith three columns for OR, lower CI and upper CI-}
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}
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\description{
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Heavily inspired by https://www.r-bloggers.com/plotting-odds-ratios-aka-a-forrestplot-with-ggplot2/
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