eda.shape: Generate distribution plots of an array.

In spreval: Evaluation of Sprinkler Irrigation Uniformity and Efficiency

Generate distribution plots of an array.

Description

Generate histogram, boxplot, density, and quartile plots.

Usage

eda.shape(x,qq=TRUE,main=NULL,xlab,...)

Arguments

x	numeric array.
qq	logical; for plotting quartile plot, default=TRUE.
main	character; main title for plots.
xlab	x axis label for histogram and density plots, y axis label for boxplot. If not provided, will default to name of object x.
...	additional graphical parameters to pass to the plot functions called within 'eda.shape'.

Details

This function is modified from the SPlus version of the same name, see references. Additional graphical parameters passed to 'eda.shape' are ignored if not applicable/accepted by all internally called plot functions to prevent warning messages and/or null plots. To suppress axis labeling pass ann=FALSE as additional argument.

Value

Four plots on one page [mfrow = c(2, 2)]- histogram, boxplot, density, and quartile.

Note

Wrapper functions for each internally called plot type strip graphical parameters that are not applicable to the specific plot type to prevent warnings and errors.

Author(s)

Garry Grabow [e-mail]

References

TIBCO Spotfire S+ 8.2 2010. Guide to Statistics, vol. 1, p.124ff.

See Also

eda.stats,hist, boxplot,density, qqnorm

Examples

#generate and plot univariate normally distributed data
require(graphics)
x<-rnorm(25,1,0.25)
eda.shape(x) #defaults
#add main title, and pass additional parameters, "col" and
#"notch""for notched boxplot
eda.shape(x,main="my normal data",col="blue",notch=TRUE)
  

spreval documentation built on March 24, 2022, 1:06 a.m.