Data preparation
prepare_data_plot(
model = buildRanger,
modelControl = list(),
x,
namesx = paste("x", 1:ncol(x), sep = ""),
y,
namesy = "y",
log = NULL,
nameslog = NULL
)list with plotting data and information
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.
a list of control settings for the respective model. Default is an empty list (use default model controls).
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.
character vector, printable names for the x data. Should have same length as x has columns. Default is x1, x2, ...
a one-column matrix of y-values to be plotted (dependent variable). Should have same number of rows as x and log.
character, giving a printable name for y. Default is "y".
matrix, a data set providing (optional) additional dependent variables (but these are not modeled). Should have same number of rows as y and x.
character vector, printable names for the log data. Should have same length as log has columns. Default is NULL (no names).