Draw: The Plotting Function of 'GPM' Package

Description Usage Arguments References See Also Examples

Description

Plots the predicted response along with the assocaited uncertainty via the GP model fitted by Fit. Accepts multi-input and multi-output models. See Arguments for more details on the options.

Usage

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Draw(Model, Plot_wrt, LB = NULL, UB = NULL, Values = NULL,
  Response_ID = NULL, res = 15, X1Label = NULL, X2Label = NULL,
  YLabel = NULL, Title = NULL, PI95 = NULL)

Arguments

Model

The GP model fitted by Fit.

Plot_wrt

A binary vector of length p where p is the dimension of the inputs in Model. A maximum (minimum) of 2 (1) elements can be 1. The elemenets set to 1, would correspond to the plotting axes.

LB, UB

Vectors of length sum(Plot_wrt) indicating the lower and upper bounds used for plotting. The first (second) element corresponds to the first (second) non-zero element of Plot_wrt.

Values

A vector of length p-sum(Plot_wrt). The values are assigned to the variables NOT used in plotting and correspond to the zeros in Plot_wrt.

Response_ID

A positive integer indicating the response that should be plotted if Model is multi-response.

res

A positive integer indicating the number of points used in plotting. Higher values will result in smoother plots.

X1Label

A string for the label of axis 1.

X2Label

A string for the label of axis 2, if plotting a surface.

YLabel

A string for the label of the response axis.

Title

A string for the title of the plot.

PI95

Flag (a scalar) indicating whether the 95% prediction interval should be plotted. Set it to a non-zero value to turn the flag "on".

References

  1. Bostanabad, R., Kearney, T., Tao, S., Apley, D. W. & Chen, W. (2018) Leveraging the nugget parameter for efficient Gaussian process modeling. Int J Numer Meth Eng, 114, 501-516.

  2. Plumlee, M. & Apley, D. W. (2017) Lifted Brownian kriging models. Technometrics, 59, 165-177.

See Also

Fit to see how a GP model can be fitted to a training dataset.
Predict to use the fitted GP model for prediction.

Examples

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# See the examples in the fitting function.

GPM documentation built on May 2, 2019, 12:36 a.m.

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