SLOPE (version 0.3.2)

plot.SLOPE: Plot coefficients

Description

Plot the fitted model's regression coefficients along the regularization path.

Usage

# S3 method for SLOPE
plot(
  x,
  intercept = FALSE,
  x_variable = c("alpha", "deviance_ratio", "step"),
  ...
)

Arguments

x

an object of class "SLOPE"

intercept

whether to plot the intercept

x_variable

what to plot on the x axis. "alpha" plots the scaling parameter for the sequence, "deviance_ratio" plots the fraction of deviance explained, and "step" plots step number.

...

parameters that will be used to modify the call to lattice::xyplot()

Value

An object of class "trellis", which will be plotted on the current device unless stored in a variable.

See Also

lattice::xyplot(), SLOPE(), plotDiagnostics()

Other SLOPE-methods: coef.SLOPE(), deviance.SLOPE(), predict.SLOPE(), print.SLOPE(), score()

Examples

# NOT RUN {
fit <- SLOPE(heart$x, heart$y)
plot(fit)
# }

Run the code above in your browser using DataCamp Workspace