plotNN: Create a Plot, Add Lines or Points Depending The Context
In pkR-pkR/NNbenchmark: Datasets and Functions to Benchmark Neural Network Packages

plotNN

R Documentation

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.