batchPlot.Models: Plot all the Curves from a List of Models

In thomasWeise/processMineR.models: An R Package for Loading and Processing Models Built with \code{regressoR} and Annotating them with Features

Description

A simple utility method for visualizing the data.

Usage

batchPlot.Models(models, names = if (length(models) < 10)
  datasets.names.get(models) else NULL, ...)

Arguments

models	an instance or list of datasets with models in their data field
names	the model names, or NULL if they should not be printed
...	Arguments passed on to plotteR::batchPlot.list plotXY should the x-y points be plotted (if yfun is not NULL) widthXY the line width for points to be plotted (only considered if plotXY is TRUE and yfun is not NULL) plotXF should the x-y lines be plotted (if ffun is not NULL) widthXF the line width for lines to be plotted (only considered if plotXF is TRUE and ffun is not NULL) colors the colors to be used for the plot xlab the label for the x-axis ylab the label for the y-axis legend a list of additional parameters to be passed to legend, or NULL to use the default parameters x.min.lower a lower bound for the automatically computed x coordinate minimum x.min.upper an upper bound for the automatically computed x coordinate minimum x.max.lower a lower bound for the automatically computed x coordinate maximum x.max.upper an upper bound for the automatically computed x coordinate maximum y.min.lower a lower bound for the automatically computed y coordinate minimum y.min.upper an upper bound for the automatically computed y coordinate minimum y.max.lower a lower bound for the automatically computed y coordinate maximum y.max.upper an upper bound for the automatically computed y coordinate maximum x.add some additional x coordinates at which the function should be evaluated, or TRUE if the x coordinate minimum and maximum over all data sets should be added as evaluation points

thomasWeise/processMineR.models documentation built on May 23, 2019, 9:31 a.m.