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.
# 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)
# }