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agdamsbo 2019-12-03 14:40:05 +01:00
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commit cf26fd8876
6 changed files with 13 additions and 13 deletions
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2
DESCRIPTION
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@ -1,6 +1,6 @@
Package: daDoctoR
Title: Functions For Health Research
Version: 0.19.8
Version: 0.19.9
Year: 2019
Author: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>

2
NAMESPACE
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@ -16,8 +16,8 @@ export(hwe_allele)
export(hwe_app)
export(hwe_geno)
export(hwe_sum)
export(plot_biv_olr)
export(plot_ord_odds)
export(plot_ord_odds_v2)
export(rep_biv)
export(rep_epi_tests)
export(rep_glm)

4
R/plot_ord_odds_v2.R → R/plot_biv_olr.R
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@ -1,4 +1,4 @@
#' Forrest plot from ordinal logistic regression, version2.
#' Forrest plot from ordinal logistic regression, version2 of plot_ord_ords().
#'
#' Heavily inspired by https://www.r-bloggers.com/plotting-odds-ratios-aka-a-forrestplot-with-ggplot2/
#' @param meas outcome meassure variable name or response in data-data.frame as a string. Should be factor, preferably ordered.
@ -14,7 +14,7 @@
#' @keywords forestplot
#' @export
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")){
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")){
require(ggplot2)

2
R/plot_ord_odds.R
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@ -1,4 +1,4 @@
#' Forrest plot from ordinal logistic regression
#' Forrest plot from ordinal logistic regression.
#'
#' Heavily inspired by https://www.r-bloggers.com/plotting-odds-ratios-aka-a-forrestplot-with-ggplot2/
#' @param x input data.

14
man/plot_ord_odds_v2.Rd → man/plot_biv_olr.Rd
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@ -1,12 +1,12 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plot_ord_odds_v2.R
\name{plot_ord_odds_v2}
\alias{plot_ord_odds_v2}
\title{Forrest plot from ordinal logistic regression, version2.}
% Please edit documentation in R/plot_biv_olr.R
\name{plot_biv_olr}
\alias{plot_biv_olr}
\title{Forrest plot from ordinal logistic regression, version2 of plot_ord_ords().}
\usage{
plot_ord_odds_v2(meas, vars, data, title = NULL, dec = 3,
lbls = NULL, hori = "OR (95 \% CI)", vert = "Variables",
short = FALSE, analysis = c("biv", "multi"))
plot_biv_olr(meas, vars, data, title = NULL, dec = 3, lbls = NULL,
hori = "OR (95 \% CI)", vert = "Variables", short = FALSE,
analysis = c("biv", "multi"))
}
\arguments{
\item{meas}{outcome meassure variable name or response in data-data.frame as a string. Should be factor, preferably ordered.}

2
man/plot_ord_odds.Rd
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@ -2,7 +2,7 @@
% Please edit documentation in R/plot_ord_odds.R
\name{plot_ord_odds}
\alias{plot_ord_odds}
\title{Forrest plot from ordinal logistic regression}
\title{Forrest plot from ordinal logistic regression.}
\usage{
plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL,
hori = "OR (95 \% CI)", vert = "Variables", short = FALSE,