PlotPredictions: Plot true versus predicted output.

In GaSP: Train and Apply a Gaussian Stochastic Process Model

Plot true versus predicted output.

Description

Plot true versus predicted output (response) made by Predict or CrossValidate.

Usage

PlotPredictions(
  y_pred,
  y,
  y_name = "y",
  y_units = "",
  title = c("Predict", "CrossValidate"),
  pch = 1
)

Arguments

y_pred	A data frame of predicted output values made by Predict or CrossValidate.
y	A vector of length equal to the number of rows in y_pred containing the true output values.
y_name	An optional character string containing the output variable name (for labels).
y_units	An optional character string constaining the units of the output variable (for labels).
title	A character string for the name of the function generating the predictions (for an appropriate title): "Predict" from Predict or "CrossValidate" from CrossValidate; "" for no title.
pch	Plotting symbol for plot; default is open circle.

Value

No return value, generates plots.

Examples

PlotPredictions(borehole_cv, y, title = "CrossValidate")

PlotPredictions(borehole_pred$y_pred, borehole$y_true, title = "Predict")

GaSP documentation built on May 31, 2023, 7:54 p.m.