plot

plot.covQual

plot,covQual-method

plot,covQual,ANY-method

Plots of the covariance matrix or the correlation matrix of a qualitative input. 
For an ordinal factor, the warping function can also be plotted.

Gaussian process regression with an emphasis on kernels.
Quantitative and qualitative inputs are accepted. Some pre-defined
kernels are available, such as radial or tensor-sum for
quantitative inputs, and compound symmetry, low rank, group kernel
for qualitative inputs. The user can define new kernels and
composite kernels through a formula mechanism. Useful methods
include parameter estimation by maximum likelihood, simulation,
prediction and leave-one-out validation.

Olivier Roustant

kergp

Gaussian Process Laboratory

plot function

<dl> <dt>x</dt>
<dd>An object of class <code>covQual-class</code>.</dd> <dt>y</dt>
<dd>Not used.</dd> <dt>type</dt>
<dd>A character indicating the desired type of plot. Type <code>warping</code> only works for an ordinal input.</dd> <dt>...</dt>
<dd>Other arguments passed to <code><a href="/link/corrplot%3A%3Acorrplot?package=kergp&version=0.5.7" data-mini-rdoc="kergp::corrplot::corrplot">corrplot::corrplot</a></code> or <code>plot</code>.</dd></dl>

Arguments

Plot for a qualitative input — plot

<dl>

 <dt>x</dt>
<dd>An object of class <code>covQual-class</code>.</dd>

 <dt>y</dt>
<dd>Not used.</dd>

 <dt>type</dt>
<dd>A character indicating the desired type of plot. Type <code>warping</code> only works for an ordinal input.</dd>

 <dt>...</dt>
<dd>Other arguments passed to <code><a href='https://rdrr.io/pkg/corrplot/man/corrplot.html'>corrplot::corrplot</a></code> or <code>plot</code>.</dd>

</dl>

plot: Plot for a qualitative input

Description

Usage

Arguments

Details

See Also

Examples