PPversion {spatstat.explore} | R Documentation |
Transform a Function into its P-P or Q-Q Version
Description
Given a function object f
containing both the estimated
and theoretical versions of a summary function, these operations
combine the estimated and theoretical functions into a new function.
When plotted, the new function gives either the P-P plot or Q-Q plot
of the original f
.
Usage
PPversion(f, theo = "theo", columns = ".")
QQversion(f, theo = "theo", columns = ".")
Arguments
f |
The function to be transformed. An object of class |
theo |
The name of the column of |
columns |
Character vector, specifying the columns of |
Details
The argument f
should be an object of class "fv"
,
containing both empirical estimates
and a theoretical value
for a summary function.
The P–P version of f
is the function
where
is the inverse function of
.
A plot of
against
is equivalent to a plot of
against
for all
.
If
f
is a cumulative distribution function (such as the
result of Fest
or Gest
) then
this is a P–P plot, a plot of the observed versus theoretical
probabilities for the distribution.
The diagonal line
corresponds to perfect agreement between observed and theoretical
distribution.
The Q–Q version of f
is the function
.
If
f
is a cumulative distribution function,
a plot of against
is a Q–Q plot, a plot of the observed versus theoretical
quantiles of the distribution.
The diagonal line
corresponds to perfect agreement between observed and theoretical
distribution.
Another straight line corresponds to the situation where the
observed variable is a linear transformation of the theoretical variable.
For a point pattern
X
, the Q–Q version of Kest(X)
is
essentially equivalent to Lest(X)
.
Value
Another object of class "fv"
.
Author(s)
Tom Lawrence and Adrian Baddeley.
Implemented by Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.
See Also
Examples
opa <- par(mar=0.1+c(5,5,4,2))
G <- Gest(redwoodfull)
plot(PPversion(G))
plot(QQversion(G))
par(opa)