boxplot.vgram.cloud(x, nint=20, group, style.bxp="att",
plot=T, ...)
vgram.cloud".
x$distance to split up the
x$gamma values.
This is ignored if
group is supplied.
x$gamma into.
There will be one boxplot drawn for each unique value of
group.
This must be the same length as
x$gamma.
If supplied, the value of
nint is ignored.
boxplot help file for possible values.
The default value of
att draws better boxplots for a variogram cloud
than the style used in the default
boxplot function.
TRUE, the boxplot will be produced;
otherwise, the calculated summaries of the arguments are
invisibly returned.
boxplot will always use linear axes:
the
log and
[xy]axt arguments are ignored.
plot is
TRUE, the function
bxp is invoked with these components, plus
optional
width,
varwidth,
notch, and
style (and associated parameters),
to produce the plot. Note that
bxp returns a vector of box centers.
plot is
FALSE, an invisible list with the
components listed below:
5 by the number of boxes) giving the upper extreme
(excluding outliers),
upper quartile, median, lower quartile, and lower extreme (excluding outliers)
for each box. By default, anything farther than 1.5 times the
Inter-Quartile Range is considered an outlier. See the Details
section below and the
range argument above.
2 by the number of boxes) giving
approximate 95% confidence limits for the
median. The limits are functions of the quartiles, so a few outliers have
little effect on them.
out belongs.
plot is
TRUE, a plot is created on the current graphics device.
This function is a method for the generic function
for class vgram.cloud.
It can be invoked by calling
for an object x of the appropriate class, or directly by calling
regardless of the class of the object.
By default, whiskers are drawn
to the nearest value not beyond a standard span from the quartiles; points
beyond (outliers) are drawn individually. Giving
range=0 forces
whiskers to the full data range. Any positive value of
range
multiplies the standard span by this amount.
The standard span is 1.5*(Inter-Quartile Range).
Cressie, Noel. (1993). Statistics For Spatial Data, Revised Edition. Wiley, New York.
scallop.vgcld <- variogram.cloud(log(tcatch+1) ~ loc(long,lat),
data=scallops)
boxplot(scallop.vgcld)