Plot results from a univariate splinemixmeta model — plot.splinemixmeta • splinemixmeta

Plot results from a univariate splinemixmeta model

Usage

# S3 method for class 'splinemixmeta'
plot(
  x,
  xvar,
  title,
  xlab,
  ylab,
  ylim,
  linecolor = "blue",
  fillcolor = "blue",
  ...
)

Arguments

x: object of class mixmeta returned from splinemixmeta
xvar: name of the variable to plot on the horizontal axis. If missing, this will will be taken from the right side of the fixed effects formula.
title: to add to the plot
xlab: label for the horizontal axis
ylab: label for the vertical axis
ylim: limits for the vertical axis
linecolor: color for the prediction line
fillcolor: color for the prediction confidence band
...: additional arguments passed to predict.splinemixmeta()

Value

ggplot2 object

Details

This is not a very general plotting function. It is intended to provide a basic feature for visualizing a univariate splinemixmeta fit in a way that:

includes fixed effects and spline terms in the predicted values, with 95% confidence bands
Shows the data points with 95% confidence intervals obtained as +/- 2 times the standard errors (se or diag(S)).
returns a ggplot2 object that can be further updated.

If the x object comes from a call to splinemixmeta() that had a simple (fixed effects) formula, such as y ~ w, then xvar does not need to be provided, since it is easily determined to be w. However, if the formula was more complicated, or if w was not provided in formula because manual_fixed = FALSE (the default), then xvar = "w" must be provided so that this plotting function knows what to put on the horizontal axis.