slider.bootstrap.lm.plot {aplpack} | R Documentation |
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.
slider.bootstrap.lm.plot(x, y, ...)
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 |
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.
a message about the usage
Hans Peter Wolf
~~
## 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)