plot.TrainedSLOPE {SLOPE} | R Documentation |
Plot results from cross-validation
Description
Plot results from cross-validation
Usage
## S3 method for class 'TrainedSLOPE'
plot(
x,
measure = c("auto", "mse", "mae", "deviance", "auc", "misclass"),
plot_min = TRUE,
ci_alpha = 0.2,
ci_border = FALSE,
ci_col = "salmon",
...
)
Arguments
x |
an object of class |
measure |
any of the measures used in the call to |
plot_min |
whether to mark the location of the penalty corresponding to the best prediction score |
ci_alpha |
alpha (opacity) for fill in confidence limits |
ci_border |
color (or flag to turn off and on) the border of the confidence limits |
ci_col |
color for border of confidence limits |
... |
words |
Value
An object of class "ggplot"
, which will be plotted on the
current device unless stored in a variable.
See Also
Other model-tuning:
caretSLOPE()
,
trainSLOPE()
Examples
# Cross-validation for a SLOPE binomial model
set.seed(123)
tune <- trainSLOPE(subset(mtcars, select = c("mpg", "drat", "wt")),
mtcars$hp,
q = c(0.1, 0.2),
number = 10
)
plot(tune, ci_col = "salmon")
[Package SLOPE version 0.5.1 Index]