kergp (version 0.5.7)

q1CompSymm: Qualitative Correlation or Covariance Kernel with one Input and Compound Symmetric Correlation

Description

Qualitative correlation or covariance kernel with one input and compound symmetric correlation.

Usage

q1CompSymm(factor, input = "x", cov = c("corr", "homo"), intAsChar = TRUE)

Value

An object with class "covQual" with d = 1

qualitative input.

Arguments

factor

A factor with the wanted levels for the covariance kernel object.

input

Name of (qualitative) input for the kernel.

cov

Character telling if the kernel is a correlation kernel or a homoscedastic covariance kernel.

intAsChar

Logical. If TRUE (default), an integer-valued input will be coerced into a character. Otherwise, it will be coerced into a factor.

See Also

The corLevCompSymm function used to compute the correlation matrix and its gradients w.r.t. the correlation parameters.

Examples

School <- factor(1L:3L, labels = c("Bad", "Mean" , "Good"))
myCor <- q1CompSymm(School, input = "School")
coef(myCor) <- 0.26
plot(myCor, type = "cor")

## Use a data.frame with a factor
set.seed(246)
newSchool <- factor(sample(1L:3L, size = 20, replace = TRUE),
                    labels = c("Bad", "Mean" , "Good"))
C1 <- covMat(myCor, X = data.frame(School = newSchool),
             compGrad = FALSE, lowerSQRT = FALSE)