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These "in-place" replacement methods assign new value to an object without making a copy. That is efficient, but if there is a copy of the object that you made by standard assignment (e.g. with y <- x
), that copy is also changed.
set.names
is the in-place replacement version of names<-
.
set.ext
is the in-place replacement version of ext<-
set.values
is the in-place replacement version of [<-
.
set.cats
is the in-place replacement version of categories
set.crs
is the in-place replacement version of crs<-
# S4 method for SpatRaster
set.names(x, value, index=1:nlyr(x), validate=FALSE)
# S4 method for SpatRasterDataset
set.names(x, value, index=1:length(x), validate=FALSE)
# S4 method for SpatVector
set.names(x, value, index=1:ncol(x), validate=FALSE)# S4 method for SpatRaster
set.ext(x, value)
# S4 method for SpatVector
set.ext(x, value)
# S4 method for SpatRaster
set.crs(x, value)
# S4 method for SpatVector
set.crs(x, value)
# S4 method for SpatRaster
set.values(x, cells, values, layer=0)
# S4 method for SpatRaster
set.cats(x, layer=1, value, active=1)
# S4 method for SpatRaster
set.RGB(x, value, type="rgb")
logical (invisibly)
SpatRaster
character for set.names
. For set.cats
: a data.frame with columns (value, category) or vector with category names. For set.RGB
3 or 4 numbers indicating the RGB(A) layers
positive integer indicating layer(s) to assign a name to
logical. Make names valid and/or unique?
cell numbers or missing
replacement values or missing to load all values into memory
positive integer(s) indicating to which layer(s) to you want to assign these categories or to which you want to set these values. A number < 1 indicates "all layers"
positive integer indicating the active category (column number in value
, but not counting the first column
character. The color space. One of "rgb" "hsv", "hsi" and "hsl"
s <- rast(ncols=5, nrows=5, nlyrs=3)
x <- s
names(s)
names(s) <- c("a", "b", "c")
names(s)
names(x)
x <- s
set.names(s, c("e", "f", "g"))
names(s)
names(x)
set.ext(x, c(0,180,0,90))
f <- system.file("ex/elev.tif", package="terra")
r <- rast(f)
#values from file to memory
set.values(r)
# change values
set.values(r, 1:1000, 900)
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