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

In aplpack: Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots', Slider Functions and Others

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

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.

Value

a message about the usage

Author(s)

Hans Peter Wolf

References

~~

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)

## End(Not run)

aplpack documentation built on Sept. 30, 2021, 5:08 p.m.