plot.sgp.cv {SGPR}

Plots the cross-validation curve from a SGP object

Description

Plots the cross-validation curve as a function of the lambda values used.

Usage

## S3 method for class 'sgp.cv'
plot(x, log.l = TRUE, highlight = TRUE, col = "firebrick3", ...)

Arguments

x

A object that was generated with sgp.cv.

log.l

A Boolean value that specifies whether the horizontal axis should be on the log scale.

highlight

A Boolean value that specifies whether a vertical line should be added at the value where the cross-validation error is minimized.

col

Controls the color of the dots.

...

Other parameters of underlying basic functions.

Value

A plot object with the cross-validation curve of an SGP.

Examples

n <- 100
p <- 12
nr <- 4
g <- paste0("Group ",ceiling(1:p / nr))
X <- matrix(rnorm(n * p), n, p)
b <- c(-3:3)
y_lin <- X[, 1:length(b)] %*% b + 5 * rnorm(n)
y_log <- rbinom(n, 1, exp(y_lin) / (1 + exp(y_lin)))

lin_fit <- sgp.cv(X, y_lin, g, type = "linear")
plot(lin_fit, col = "blue")

log_fit <- sgp.cv(X, y_log, g, type = "logit")
plot(log_fit, col = "blue")