plot.UPG.Binomial: Coefficient plots for UPG.Binomial objects

Description

plot generates plots from UPG.Binomial objects using ggplot2. Coefficient plots show point estimates for all coefficients as well as their credible intervals.

Usage

# S3 method for UPG.Binomial
plot(
  x = NULL,
  ...,
  sort = FALSE,
  names = NULL,
  xlab = NULL,
  ylab = NULL,
  q = c(0.025, 0.975),
  include = NULL
)

Value

Returns a ggplot2 object.

Arguments

x: an object of class UPG.Binomial.
...: other plot parameters.
sort: a logical variable indicating whether the plotted coefficients should be sorted according to effect sizes. Default is FALSE.
names: a character vector indicating names for the variables used in the plots.
xlab: a character vector of length 1 indicating a title for the x-axis.
ylab: a character vector of length 1 indicating a title for the y-axis.
q: a numerical vector of length two providing the posterior quantiles to be extracted. Default are 0.025 and 0.975 quantiles.
include: can be used to plot only a subset of variables. Specify the columns of X that should be kept in the plot. See examples for further information.

Author

Gregor Zens

Examples

Run this code

# \donttest{
# estimate a binomial logit model using example data
library(UPG)
data(titanic)
y  = titanic[,1]
Ni = titanic[,2]
X  = titanic[,-c(1,2)]
results.binomial = UPG(y = y, X = X, Ni = Ni, model = "binomial")

# plot the results and sort coefficients by effect size
plot(results.binomial, sort = TRUE)

# plot only variables 1 and 3 with custom names, credible intervals and axis labels
plot(results.binomial,
     include  = c(1,3),
     names    = c("Custom 1", "Custom 2"),
     q        = c(0.1, 0.9),
     xlab     = c("Custom X"),
     ylab     = c("Custom Y"))
# }