aplpack (version 1.3.3)

slider.bootstrap.lm.plot: interactive bootstapping for lm

Description

slider.bootstrap.lm.plot computes a scatterplot and adds regression curves of samples of the data points. The number of samples and the degree of the model are controlled by sliders.

Usage

slider.bootstrap.lm.plot(x, y, ...)

Arguments

x

two column matrix or vector of x values if y is used

y

y values if x is not a matrix

…

additional graphics parameters

Value

a message about the usage

Details

slider.bootstrap.lm.plot draws a scatterplot of the data points and fits a linear model to the data set. Regression curves of samples of the data are then added to the plot. Within a Tcl/Tk control widget the degree of the model, the repetitions and the start of the random seed are set. After modification of a parameter the plot is updated.

References

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See Also

plot

Examples

# NOT RUN {
## This example cannot be run by examples() but should be work in an interactive R session
  daten<-iris[,2:3]
  slider.bootstrap.lm.plot(daten)
# }