prepare_data_plot: Prepare data for plots

In SPOTMisc: Misc Extensions for the 'SPOT' Package

Prepare data for plots

Description

Data preparation

Usage

prepare_data_plot(
  model = buildRanger,
  modelControl = list(),
  x,
  namesx = paste("x", 1:ncol(x), sep = ""),
  y,
  namesy = "y",
  log = NULL,
  nameslog = NULL
)

Arguments

model	a function that can be used to build a model based on the data, e.g. : buildRanger or buildKriging. Default is buildRanger, since it is fast and robust.
modelControl	a list of control settings for the respective model. Default is an empty list (use default model controls).
x	a matrix of x-values to be plotted (i.e., columns are the independent variables, rows are samples). Should have same number of rows as y and log.
namesx	character vector, printable names for the x data. Should have same length as x has columns. Default is x1, x2, ...
y	a one-column matrix of y-values to be plotted (dependent variable). Should have same number of rows as x and log.
namesy	character, giving a printable name for y. Default is "y".
log	matrix, a data set providing (optional) additional dependent variables (but these are not modeled). Should have same number of rows as y and x.
nameslog	character vector, printable names for the log data. Should have same length as log has columns. Default is NULL (no names).

Value

list with plotting data and information

SPOTMisc documentation built on Sept. 5, 2022, 5:06 p.m.