[.raster bug {was "str() on raster objects fails .."}
Hi
On 2/02/2011 2:03 p.m., Henrik Bengtsson wrote:
On Tue, Feb 1, 2011 at 4:46 PM, Paul Murrell<p.murrell at auckland.ac.nz> wrote:
Hi On 1/02/2011 9:22 p.m., Martin Maechler wrote:
Henrik Bengtsson<hb at biostat.ucsf.edu>
on Mon, 31 Jan 2011 11:16:59 -0800 writes:
> Hi, str() on raster objects fails for certain dimensions. For
> example:
>> str(as.raster(0, nrow=1, ncol=100)) 'raster' chr [1, 1:100]
> "#000000" "#000000" "#000000" "#000000" ...
>> str(as.raster(0, nrow=1, ncol=101)) Error in `[.raster`(object,
> seq_len(max.len)) : subscript out of bounds
> This seems to do with how str() and "[.raster"() is coded; when
> subsetting as a vector, which str() relies on, "[.raster"()
> still returns a matrix-like object, e.g.
>> img<- as.raster(1:25, max=25, nrow=5, ncol=5);
>> img[1:2]
> [,1] [,2] [,3] [,4] [,5]
> [1,] "#0A0A0A" "#3D3D3D" "#707070" "#A3A3A3" "#D6D6D6"
> [2,] "#141414" "#474747" "#7A7A7A" "#ADADAD" "#E0E0E0"
> compare with:
>> as.matrix(img)[1:2]
> [1] "#0A0A0A" "#3D3D3D"
> The easy but incomplete fix is to do:
> str.raster<- function(object, ...) {
> str(as.matrix(object), ...);
> }
> Other suggestions?
The informal "raster" class is behaving ``illogical'' in the following sense:
> r<- as.raster(0, nrow=1, ncol=11) > r[seq_along(r)]
Error in `[.raster`(r, seq_along(r)) : subscript out of bounds or, here equivalently,
> r[1:length(r)]
Error in `[.raster`(r, 1:length(r)) : subscript out of bounds When classes do behave in such a way, they definitely need their own str() method. However, the bug really is in "[.raster": Currently, r[i] is equivalent to r[i,] which is not at all matrix-like and its help clearly says that subsetting should work as for matrices. A recent thread on R-help/R-devel has mentioned the fact that "[" methods for matrix-like methods need to use both nargs() and missing() and that "[.dataframe" has been the example to follow "forever", IIRC already in S and S-plus as of 20 years ago.
The main motivation for non-standard behaviour here is to make sure that a subset of a raster object NEVER produces a vector (because the conversion back to a raster object then produces a single-column raster and that may be a "surprise"). Thanks for making the code more standard and robust. The r[i] case is still tricky. The following behaviour is quite convenient ... r[r == "black"]<- "white" ... but the next behaviour is quite jarring (at least in terms of the raster image that results from it) ... r2<- r[1:(nrow(r) + 1)] So I think there is some justification for further non-standardness to try to ensure that the subset of a raster image always produces a sensible image. A simple solution would be just to outlaw r[i] for raster objects and force the user to write r[i, ] or r[, j], depending on what they want.
FYI, I've tried out Martin's updated version at it seems like a one-column raster matrix is now returned for r[i], e.g.
Yes, that's what I've been looking at ...
r<- as.raster(1:8, max=8, nrow=2, ncol=4); r
[,1] [,2] [,3] [,4] [1,] "#202020" "#606060" "#9F9F9F" "#DFDFDF" [2,] "#404040" "#808080" "#BFBFBF" "#FFFFFF"
r[1:length(r)]
[,1] [1,] "#202020" [2,] "#404040" [3,] "#606060" [4,] "#808080" [5,] "#9F9F9F" [6,] "#BFBFBF" [7,] "#DFDFDF" [8,] "#FFFFFF"
... and the above is exactly the sort of thing that will fry your mind if the image that you are subsetting is, for example, a photo. Paul
r[1:5,drop=TRUE]
[,1] [1,] "#202020" [2,] "#404040" [3,] "#606060" [4,] "#808080" [5,] "#9F9F9F" Warning message: In `[.raster`(r, 1:5, drop = TRUE) : 'drop' is always implicitly FALSE in '[.raster' Also,
r[1:5]<- "white" r
[,1] [,2] [,3] [,4] [1,] "white" "white" "white" "#DFDFDF" [2,] "white" "white" "#BFBFBF" "#FFFFFF" /Henrik
Paul
Thank you, Henrik, for the bug report. Martin
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
-- Dr Paul Murrell Department of Statistics The University of Auckland Private Bag 92019 Auckland New Zealand 64 9 3737599 x85392 paul at stat.auckland.ac.nz http://www.stat.auckland.ac.nz/~paul/
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Dr Paul Murrell Department of Statistics The University of Auckland Private Bag 92019 Auckland New Zealand 64 9 3737599 x85392 paul at stat.auckland.ac.nz http://www.stat.auckland.ac.nz/~paul/