ormPlot (version 0.3.6)

plot.lrm: Plot the prediction with confidence intervals

Description

This function plots the model predictions given that all variables that are not included in the plot are kept constant. Hence it requires at least one variable to produce a plot. returns a ggplot object that can be further customized like any other ggplot

Usage

# S3 method for lrm
plot(x, ...)

Value

a ggplot plot object

Arguments

x

an object created by Predict

...

additional parameters that will be passed to Predict

See Also

Predict, datadist, orm

Examples

#load the libraries
library(rms)
library(ormPlot)

#make the datadist
dd<-datadist(educ_data)
options(datadist='dd')

#create the model
cran_model <- orm(educ_3 ~ Rural + sex + max_SEP_3 + cran_rzs, data = educ_data)

#plot the predictions of the model for varying one variable only
plot(cran_model, cran_rzs)

#customize the plotting varying all variables
plot(cran_model, cran_rzs,
      plot_cols = max_SEP_3,
      plot_rows = c(Rural, sex),

      #setting new x-label (optional)
     xlab = "Cranial volume (residuals to age an birth date)",

     #setting new facet labels (optional)
     facet_labels = list(Rural = c("Urban", "Rural"),
                          sex = c("Boys","Girls"))
     )