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Forest plot from ordinal logistic regression.

Source: R/plot_olr.R
plot_olr.Rd

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

Usage

plot_olr(
  x,
  title = NULL,
  dec = 3,
  lbls = NULL,
  hori = "OR (95 % CI)",
  vert = "Variables",
  short = FALSE,
  input = c("model", "df")
)

Arguments

x

input data.

title

plot title

dec

decimals for labels

lbls

labels for variable names. Careful, 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.

input

can be either "model", which is a olr model (polr()), or "df", which is a data frame with three columns for OR, lower CI and upper CI.

Value

gg object

Examples

iris$ord<-factor(sample(1:3,size=nrow(iris),replace=TRUE),ordered=TRUE)
lm <- MASS::polr(ord~., data=iris, Hess=TRUE, method="logistic")
plot_olr(lm, input="model")
#> Waiting for profiling to be done...