NNbenchmark (version 3.2.0)

plotNN: Create a Plot, Add Lines or Points Depending The Context

Description

plotNN uses the parameter uni to launch the plot() function either for a univariate dataset (x, y_pred) or for a multivariate dataset (y, y_pred).

lipoNN uses the parameter uni to launch either lines() for an univariate dataset or points() for a multivariate dataset.

See the examples in prepareZZ.

Usage

plotNN(xory, y0, uni, TF = TRUE, ...)
lipoNN(xory, y_pred, uni, TF = TRUE, ...)

Arguments

xory

vector of numeric. The original x values for an univariate dataset or the original y values for a multivariate dataset.

y0

vector of numeric. The original y values.

uni

logicial. TRUE for an univariate dataset. FALSE for a multivariate dataset. ... fails or if you call the function from another function.

TF

logical. TRUE executes the instruction. FALSE ignores the instruction. Equivalent to if (TRUE/FALSE) plot().

...

parameters passed to plot(), lines() or points().

y_pred

vector of numeric. The values returned by the predict() function.

Value

NULL in the console. An initial plot or some added lines/points.