plot_biv_olr: Forrest plot from ordinal logistic regression, version2 of...

In agdamsbo/daDoctoR: Functions For Health Research

Forrest plot from ordinal logistic regression, version2 of plot_ord_ords().

Description

Heavily inspired by https://www.r-bloggers.com/plotting-odds-ratios-aka-a-forrestplot-with-ggplot2/

Usage

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

meas	outcome meassure variable name or response in data-data.frame as a string. Should be factor, preferably ordered.
vars	variables to compare against. As vector of columnnames.
data	dataframe of data.
title	plot title
dec	decimals for labels
lbls	labels for variable names. Carefull, as the right order is not checked automatically!
hori	labels the horizontal axis (this i the y axis as the plot is rotated)
vert	labels the horizontal axis (this i the x axis as the plot is rotated)
short	flag to half number of ticks on horizontal axis.
analysis	can be either "biv", or "multi", for creation of forest plot from either bivariate (unadjusted) or multivariate (adjusted) ordinal logistic regression.

agdamsbo/daDoctoR documentation built on Aug. 30, 2022, 4:29 p.m.