forestplot2 {reportRmd}

Create a forest plot using ggplot2

Description

This function will accept a log or logistic regression fit from glm or geeglm, and display the OR or RR for each variable on the appropriate log scale.

Usage

forestplot2(
  model,
  conf.level = 0.95,
  orderByRisk = TRUE,
  colours = "default",
  showEst = TRUE,
  rmRef = FALSE,
  logScale = getOption("reportRmd.logScale", TRUE),
  nxTicks = 5
)

Arguments

model

an object output from the glm or geeglm function, must be from a logistic regression

conf.level

controls the width of the confidence interval

orderByRisk

logical, should the plot be ordered by risk

colours

can specify colours for risks less than, 1 and greater than 1.0. Default is red, black, green

showEst

logical, should the risks be displayed on the plot in text

rmRef

logical, should the reference levels be removed for the plot?

logScale

logical, should OR/RR be shown on log scale, defaults to TRUE, or reportRmd.logScale if set. See https://doi.org/10.1093/aje/kwr156 for why you may prefer a linear scale.

nxTicks

Number of tick marks supplied to the log_breaks function to produce

Value

a plot object

Examples

data("pembrolizumab")
glm_fit = glm(orr~change_ctdna_group+sex+age+l_size,
data=pembrolizumab,family = 'binomial')
forestplot2(glm_fit)