plot.variability: Plots a variability diagram from a 'variability' object

In BasketballAnalyzeR: Analysis and Visualization of Basketball Data

Description

Plots a variability diagram from a 'variability' object

Usage

## S3 method for class 'variability'
plot(
  x,
  title = "Variability diagram",
  ylim = NULL,
  ylab = NULL,
  size.lim = NULL,
  max.circle = 25,
  n.circle = 4,
  leg.brk = NULL,
  leg.pos = "right",
  leg.just = "left",
  leg.nrow = NULL,
  leg.title = NULL,
  leg.title.pos = "top",
  ...
)

Arguments

x	an aobject of class variability.
title	character, plot title.
ylim	numeric vector of length two, y-axis limits.
ylab	character, y-axis label.
size.lim	numeric vector of length two, set limits of the bubbles' size scale (see limits of scale_size).
max.circle	numeric, maximum size of the size plotting symbol (see range of scale_size).
n.circle	integer; if leg.brk=NULL, set a sequence of about n.circle+1 equally spaced 'round' values which cover the range of the values used to set the bubbles' size.
leg.brk	numeric vector, breaks for bubbles' size legend (see breaks of scale_size).
leg.pos	character or numeric vector of length two, legend position; available options "none", "left", "right" (default), "bottom", "top", or a c(x,y) numeric vector (x and y are coordinates of the legend box; their values should be between 0 and 1; c(0,0) corresponds to the bottom-left and c(1,1) corresponds to the top-right position).
leg.just	character or numeric vector of length two; anchor point for positioning legend inside plot ("left" (default), "center", "right" or two-element numeric vector) or the justification according to the plot area when positioned outside the plot.
leg.nrow	integer, number of rows of the bubbles' size legend.
leg.title	character, title of the bubbles' size legend.
leg.title.pos	character, position of the legend title; available options: "top" (default for a vertical legend), "bottom", "left" (default for a horizontal legend), or "right".
...	other graphical parameters.

Value

A ggplot2 object

Author(s)

Marco Sandri, Paola Zuccolotto, Marica Manisera ([e-mail])

References

P. Zuccolotto and M. Manisera (2020) Basketball Data Science: With Applications in R. CRC Press.

See Also

variability

Examples

Pbox.BC <- subset(Pbox, Team=="Oklahoma City Thunder" & MIN >= 500,
                    select=c("P2p","P3p","FTp","P2A","P3A","FTA"))
out <- variability(data=Pbox.BC, data.var=c("P2p","P3p","FTp"),
                   size.var=c("P2A","P3A","FTA"), weight=TRUE)
plot(out, leg.brk=c(10,25,50,100,500,1000), max.circle=30)

Example output

Loading required package: ggplot2
Registered S3 method overwritten by 'GGally':
  method from   
  +.gg   ggplot2

If you want to reproduce the figures contained in the book of
Zuccolotto and Manisera (2020) and
if the version of your R machine is >= 3.6.0, you need to type
RNGkind(sample.kind = "Rounding")
at the beginning of your working session

BasketballAnalyzeR documentation built on July 2, 2020, 2:14 a.m.