plot.spar.cv {spareg}R Documentation

plot.spar.cv

Description

Plot cross-validation measure or number of active variables over different thresholds or number of models of 'spar.cv' object, produce a residuals vs fitted plot, or a plot of the estimated coefficients in each marginal model, sorted by their absolute value.

Usage

## S3 method for class 'spar.cv'
plot(
  x,
  plot_type = c("Val_Measure", "Val_numAct", "res-vs-fitted", "coefs"),
  plot_along = c("nu", "nummod"),
  nummod = NULL,
  nu = NULL,
  xfit = NULL,
  yfit = NULL,
  opt_par = c("best", "1se"),
  prange = NULL,
  coef_order = NULL,
  digits = 2,
  ...
)

Arguments

x

result of spar.cv function of class 'spar.cv'.

plot_type

one of c("Val_Measure","Val_numAct","res-vs-fitted","coefs").

plot_along

one of c("nu","nummod"); ignored when plot_type="res-vs-fitted".

nummod

fixed value for nummod when plot_along="nu" for plot_type="Val_Measure" or "Val_numAct"; same as for predict.spar.cv when plot_type="res-vs-fitted".

nu

fixed value for \nu when plot_along="nummod" for plot_type="Val_Measure" or "Val_numAct"; same as for predict.spar.cv when plot_type="res-vs-fitted".

xfit

data used for predictions in "res-vs-fitted".

yfit

data used for predictions in "res-vs-fitted".

opt_par

one of c("best","1se"), only needed for plot_type="res-vs-fitted" to set type of predictions, see predict.spar.cv.

prange

optional vector of length 2 for "coefs"-plot to give the limits of the predictors' plot range; defaults to c(1, p).

coef_order

optional index vector of length p for "coefs"-plot to give the order of the predictors; defaults to 1 : p.

digits

number of significant digits to be displayed in the axis; defaults to 2L.

...

further arguments passed to or from other methods

Value

'ggplot2::ggplot' object


[Package spareg version 1.0.0 Index]