mirror of
https://github.com/agdamsbo/daDoctoR.git
synced 2024-11-21 19:30:22 +01:00
incremental updates
added label control to plot_ord_odds
This commit is contained in:
parent
e5392893f9
commit
2fc5ae9c8f
@ -1,7 +1,7 @@
|
||||
Package: daDoctoR
|
||||
Type: Package
|
||||
Title: FUNCTIONS FOR HEALTH RESEARCH
|
||||
Version: 0.1.0.9021
|
||||
Version: 0.1.0.9022
|
||||
Author@R: c(person("Andreas", "Gammelgaard Damsbo", email = "agdamsbo@pm.me", role = c("cre", "aut")))
|
||||
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@pm.me>
|
||||
Description: I am a Danish medical doctor involved in neuropsychiatric research.
|
||||
|
@ -5,6 +5,8 @@
|
||||
#' @param title plot title
|
||||
#' @param dec decimals for labels
|
||||
#' @param lbls labels for variable names. Carefull, as the right order is not checked automatically!
|
||||
#' @param hori labels the horizontal axis (this i the y axis as the plot is rotated)
|
||||
#' @param vert labels the horizontal axis (this i the x axis as the plot is rotated)
|
||||
#' @param short flag to half number of ticks on horizontal axis.
|
||||
#' @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-
|
||||
#' @keywords forestplot
|
||||
@ -12,7 +14,7 @@
|
||||
#' @examples
|
||||
#' plot_ord_odds()
|
||||
|
||||
plot_ord_odds<-function(x, title = NULL,dec=3,lbls=NULL,short=FALSE,input="model"){
|
||||
plot_ord_odds<-function(x, title = NULL,dec=3,lbls=NULL,hori="OR (95 % CI)",vert="Variables",short=FALSE,input="model"){
|
||||
|
||||
require(ggplot2)
|
||||
|
||||
@ -48,6 +50,6 @@ plot_ord_odds<-function(x, title = NULL,dec=3,lbls=NULL,short=FALSE,input="model
|
||||
scale_y_log10(breaks=ticks, labels = ticks) +
|
||||
geom_hline(yintercept = 1, linetype=2) +
|
||||
coord_flip() +
|
||||
labs(title = title, x = "Variables", y = "OR (95 % CI)") +
|
||||
labs(title = title, x = vert, y = hori) +
|
||||
theme_bw()
|
||||
}
|
||||
|
@ -4,7 +4,8 @@
|
||||
\alias{plot_ord_odds}
|
||||
\title{Forrest plot from ordinal logistic regression}
|
||||
\usage{
|
||||
plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL, short = FALSE,
|
||||
plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL,
|
||||
hori = "OR (95 \% CI)", vert = "Variables", short = FALSE,
|
||||
input = "model")
|
||||
}
|
||||
\arguments{
|
||||
@ -16,6 +17,10 @@ plot_ord_odds(x, title = NULL, dec = 3, lbls = NULL, short = FALSE,
|
||||
|
||||
\item{lbls}{labels for variable names. Carefull, as the right order is not checked automatically!}
|
||||
|
||||
\item{hori}{labels the horizontal axis (this i the y axis as the plot is rotated)}
|
||||
|
||||
\item{vert}{labels the horizontal axis (this i the x axis as the plot is rotated)}
|
||||
|
||||
\item{short}{flag to half number of ticks on horizontal axis.}
|
||||
|
||||
\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-}
|
||||
|
@ -20,7 +20,7 @@ strobe_diff_byvar(meas, var, group, adj, data, dec = 2)
|
||||
\item{groups}{groups to compare, as string.}
|
||||
}
|
||||
\description{
|
||||
Printable table of three dimensional regression analysis of group vs var for meas. By var.
|
||||
Printable table of three dimensional regression analysis of group vs var for meas. By var. Includes p-values.
|
||||
}
|
||||
\examples{
|
||||
strobe_diff_byvar()
|
||||
|
@ -32,3 +32,4 @@ updatePackageVersion <- function(packageLocation ="."){
|
||||
## Return the updated version number to screen
|
||||
return(vFinal)
|
||||
}
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user