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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: 0.19.8
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Version: 0.19.9
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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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@ -16,8 +16,8 @@ export(hwe_allele)
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export(hwe_app)
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export(hwe_app)
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export(hwe_geno)
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export(hwe_geno)
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export(hwe_sum)
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export(hwe_sum)
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export(plot_biv_olr)
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export(plot_ord_odds)
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export(plot_ord_odds)
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export(plot_ord_odds_v2)
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export(rep_biv)
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export(rep_biv)
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export(rep_epi_tests)
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export(rep_epi_tests)
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export(rep_glm)
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export(rep_glm)
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#' Forrest plot from ordinal logistic regression, version2.
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#' Forrest plot from ordinal logistic regression, version2 of plot_ord_ords().
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#'
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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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#' Heavily inspired by https://www.r-bloggers.com/plotting-odds-ratios-aka-a-forrestplot-with-ggplot2/
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#' @param meas outcome meassure variable name or response in data-data.frame as a string. Should be factor, preferably ordered.
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#' @param meas outcome meassure variable name or response in data-data.frame as a string. Should be factor, preferably ordered.
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#' @keywords forestplot
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#' @keywords forestplot
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#' @export
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#' @export
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plot_ord_odds_v2<-function(meas,vars,data, title = NULL,dec=3,lbls=NULL,hori="OR (95 % CI)",vert="Variables",short=FALSE,analysis=c("biv","multi")){
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plot_biv_olr<-function(meas,vars,data, title = NULL,dec=3,lbls=NULL,hori="OR (95 % CI)",vert="Variables",short=FALSE,analysis=c("biv","multi")){
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require(ggplot2)
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require(ggplot2)
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#' Forrest plot from ordinal logistic regression
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#' Forrest plot from ordinal logistic regression.
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#'
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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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#' Heavily inspired by https://www.r-bloggers.com/plotting-odds-ratios-aka-a-forrestplot-with-ggplot2/
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#' @param x input data.
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#' @param x input data.
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% Generated by roxygen2: do not edit by hand
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/plot_ord_odds_v2.R
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% Please edit documentation in R/plot_biv_olr.R
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\name{plot_ord_odds_v2}
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\name{plot_biv_olr}
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\alias{plot_ord_odds_v2}
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\alias{plot_biv_olr}
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\title{Forrest plot from ordinal logistic regression, version2.}
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\title{Forrest plot from ordinal logistic regression, version2 of plot_ord_ords().}
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\usage{
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\usage{
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plot_ord_odds_v2(meas, vars, data, title = NULL, dec = 3,
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plot_biv_olr(meas, vars, data, title = NULL, dec = 3, lbls = NULL,
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lbls = NULL, hori = "OR (95 \% CI)", vert = "Variables",
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hori = "OR (95 \% CI)", vert = "Variables", short = FALSE,
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short = FALSE, analysis = c("biv", "multi"))
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analysis = c("biv", "multi"))
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}
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}
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\arguments{
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\arguments{
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\item{meas}{outcome meassure variable name or response in data-data.frame as a string. Should be factor, preferably ordered.}
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\item{meas}{outcome meassure variable name or response in data-data.frame as a string. Should be factor, preferably ordered.}
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% Please edit documentation in R/plot_ord_odds.R
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% Please edit documentation in R/plot_ord_odds.R
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\name{plot_ord_odds}
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\name{plot_ord_odds}
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\alias{plot_ord_odds}
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\alias{plot_ord_odds}
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\title{Forrest plot from ordinal logistic regression}
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\title{Forrest plot from ordinal logistic regression.}
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\usage{
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\usage{
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plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL,
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plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL,
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hori = "OR (95 \% CI)", vert = "Variables", short = FALSE,
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hori = "OR (95 \% CI)", vert = "Variables", short = FALSE,
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