ASML (version 1.1.0)

plot.as_data: Plot

Description

For an object of class as_data, function that makes several plots, including the following: a boxplot, a ranking plot and comparisons between the different options.

Usage

# S3 method for as_data
plot(
  x,
  labels = NULL,
  test = TRUE,
  predictions = NULL,
  by_families = FALSE,
  stacked = TRUE,
  legend = TRUE,
  color_list = NULL,
  ml_color = NULL,
  path = NULL,
  ...
)

Value

A list with boxplot, ranking, fig_comp, optml_fig_comp and optmlall_fig_comp plots.

Arguments

x

object of class as_data.

labels

character vector with the labels for each of the algorithms. If NULL, the y names of the data_object names will be used.

test

flag that indicates whether the function should use test data or training data.

predictions

a data frame with the predicted KPI for each algorithm (columns) and for each instance (rows). If NULL, the plot won't include a ML column.

by_families

boolean indicating whether the function should represent data by families or not. The family information must be included in the data_object parameter.

stacked

boolean to choose between bar plot and stacked bar plot.

legend

boolean to activate or deactivate the legend in the plot.

color_list

list with the colors for the plots. If NULL, or insufficient number of colors, the colors will be generated automatically.

ml_color

color for the ML boxplot. If NULL, it will be generated automatically.

path

path where plots will be saved. If NULL they won't be saved.

...

other parameters.

Examples

# \donttest{
data(branchingsmall)
data <- partition_and_normalize(branchingsmall$x, branchingsmall$y)
training <- AStrain(data, method = "glm")
predict_test <- ASpredict(training, newdata = data$x.test)
plot(data, predictions = predict_test)
# }