sisireg (version 1.1.2)

ssr_predict: SSR model Prediction

Description

Calculates the prediction for a given SSR model.

Usage

ssr_predict(df, xx)

Value

yy

array containung the predicted values.

Arguments

df

dataframe containing two series with x- und y-values.

xx

array containung locations for predictions.

Author

Dr. Lars Metzner

References

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

Examples

  set.seed(1234)
  df <- data.frame(x=runif(500, min=-1, max=1)*pi)
  df$y <- sin(df$x)*20 + rnorm(nrow(df), mean=0, sd=10)
  plot(df, xlim=c(-4, 4))
  dfl1 <- ssr(df)
  lines(dfl1)
  xx <- c(-4, -1, 0, 1, 4)
  yy <- ssr_predict(dfl1, xx)
  points(xx,yy, pch='+', col='red', cex=2)