psplotnd2 {sisireg}R Documentation

Partial Sum Plot for the multidimensional coordinates - reworked

Description

plots the partial sum statistic for the general n-dimensional SSR-model

Usage

psplotnd2(koord, dat, mu, text = "Sample", maxint = NULL, resultplot = TRUE, accept = 10)

Arguments

koord

data frame with coordinates.

dat

data frame of observations.

mu

list of discrete regression function.

text

optional: title for the plot.

maxint

optional: upper limit for evaluated subset size.

resultplot

optional: switch for creating a plot, default is TRUE.

accept

optional: percentage of allowed deviations in number and signs in partial sums statistics to accept a result.

Value

TRUE if Partial Sum criterion is passed or result is accepted, FALSE otherwise

Author(s)

Dr. Lars Metzner

References

Dr. Lars Metzner (2021) Adäquates Maschinelles Lernen. Independently Published.

Examples


# generate data
set.seed(42)
x_ <- y_ <- seq(-3, 3, length=20)
xy <- expand.grid(x=x_,y=y_)
x <- xy$x
y <- xy$y
z <- rnorm(400) + atan2(x, y)
# coordinates
X <- matrix(cbind(x, y), ncol = 2)
Y <- as.double(z)
# Training
W <- ssrmlp2_train(X, Y, accept=0) # passed: ps=39.04, secs 24.8, 250 Iterationen
Yp <- ssrmlp_predict(X, W)
psplotnd2(W$X, W$Y, W$Yp, 'ssrMLP2', resultplot = TRUE)


[Package sisireg version 1.2.1 Index]