Groups of columns in a function value table (object
of class "fv"
) identified by standard abbreviations.
fvnames(X, a = ".")fvnames(X, a = ".") <- value
For fvnames
, a character vector.
For fvnames<-
, the updated object.
Function value table (object of class "fv"
).
See fv.object
.
One of the standard abbreviations listed below.
Character vector containing names of columns of X
.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
and Rolf Turner rolfturner@posteo.net
An object of class "fv"
represents a table of
values of a function, usually a summary function for spatial data
such as the \(K\)-function, for which several different statistical
estimators may be available. The different estimates are stored
as columns of the table.
Auxiliary information carried in the object X
specifies some
columns or groups of columns of this table that should be
used for particular purposes.
For convenience these groups can be referred to by standard
abbreviations which are recognised by various functions
in the spatstat package, such as plot.fv
.
These abbreviations are:
".x" | the function argument |
".y" | the recommended value of the function |
"." | all function values to be plotted by default |
(in order of plotting) | |
".s" | the upper and lower limits of shading |
(for envelopes and confidence intervals) | |
".a" | all function values (in column order) |
The command fvnames(X, a)
expands the abbreviation a
and returns
a character vector containing the names of the columns.
The assignment fvnames(X, a) <- value
changes the
definition of the abbreviation a
to the character string
value
(which should be the name of another column of X
).
The column names of X
are not changed.
Note that fvnames(x, ".")
lists the columns of values that will
be plotted by default, in the order that they would be plotted, not in
order of the column position. The order in which curves are plotted
affects the colours and line styles associated with the curves.
fv.object
,
plot.fv
K <- Kest(cells)
fvnames(K, ".y")
fvnames(K, ".y") <- "trans"
Run the code above in your browser using DataLab