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sisireg (version 1.2.1)

psplotnd2: 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)

Value

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

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.

Author

Dr. Lars Metzner

References

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

Examples

Run this code
# \donttest{
# 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)
# }

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