Extract.fv | R Documentation |
Extract or replace a subset of an object of class "fv"
.
## S3 method for class 'fv' x[i, j, ..., drop=FALSE] ## S3 replacement method for class 'fv' x[i, j] <- value ## S3 replacement method for class 'fv' x$name <- value
x |
a function value object,
of class |
i |
any appropriate subset index.
Selects a subset of the rows of the data frame, i.e.
a subset of the domain of the function(s) represented by |
j |
any appropriate subset index for the columns of the data frame.
Selects some of the functions present in |
name |
the name of a column of the data frame. |
... |
Ignored. |
drop |
Logical. If |
value |
Replacement value for the column or columns selected by
|
These functions extract a designated subset of an object of class
"fv"
, or replace the designated subset with other data,
or delete the designated subset.
The subset is specified by the
row index i
and column index j
, or
by the column name name
. Either i
or j
may be missing, or both may be missing.
The function [.fv
is a method for the generic operator
[
for the class "fv"
. It extracts the
designated subset of x
, and returns it as
another object of class "fv"
(if drop=FALSE
)
or as a data frame or vector (if drop=TRUE
).
The function [<-.fv
is a method for the generic operator
[<-
for the class "fv"
.
If value
is NULL
, the designated subset of x
will be
deleted from x
.
Otherwise, the designated subset of x
will be
replaced by the data contained in value
.
The return value is the modified object x
.
The function $<-.fv
is a method for the generic operator
$<-
for the class "fv"
.
If value
is NULL
, the designated column of x
will be
deleted from x
.
Otherwise, the designated column of x
will be
replaced by the data contained in value
.
The return value is the modified object x
.
The result of [.fv
with drop=TRUE
is a data frame or vector.
Otherwise, the result is another object of class "fv"
.
and \rolf
fv.object
K <- Kest(cells) # discard the estimates of K(r) for r > 0.1 Ksub <- K[K$r <= 0.1, ] # extract the border method estimates bor <- K[ , "border", drop=TRUE] # or equivalently bor <- K$border # remove the border-method estimates K$border <- NULL K
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