It is a little more complex than that.
readTiff is not part of R. It is in an unstated package, and there are
instances in packages biOps and rtiff.
There are also readTIFF in packages tiff and beadArray. It is
tiff::readTIFF that I would recommend. Its help says it can read 32-bit
tiffs.
rtiff::readTiff is old, limited and orphaned.
Secondly, all of these are interfaces to libtiff, and that is an OS
library. So what images they can read mainly depends on what version of
libtiff and what capabilities it was configured to provide. Athough we
were not told (see the posting guide) it looks like the OP was using
Windows. There I compiled libtiff from source and it is a fairly
minimal build (not least as most people with complex image requirements
do not use Windows).
There are other ways to read TIFF files, e.g. rgdal and EBImage. See
the R manuals, specifically
http://cran.r-project.org/doc/manuals/r-release/R-data.html#Image-files
. E.g. some versions of rgdal have support for 12-bit TIFFs that
libtiff cannot handle.
In short: use a better tool.
On 26/07/2013 23:08, Peter Langfelder wrote:
Disclaimer: I haven't seen your tif file and I know nothing about
readTiff... but here go some general comments.
TIF files can use different bit depths (number of bits to store each
pixel (or each color for each pixel). Most common software outputs 8-
or 16-bits, but your file probably has a higher bit depth of 32 bits
per sample. Apparently readTiff cannot handle such bit depth.
You may need to convert the 32-bit delth file(s) into 16-bit depth (or
whatever readTiff can handle). My suggestion would be to look at
ImageMagick, but you may also be able to use some image editing
applications to do that,
Peter
On Fri, Jul 26, 2013 at 1:51 PM, wwreith <reith_will...@bah.com> wrote:
I tried using readTiff() and got the error message "Sorry can't handle images
with 32-bit samples"
line of code
x <- readTiff("C:/Users/550062/Desktop/Data/example1.tif")
So far I have not had any luck finding this error message on google. Any
guess at what it means and how to get the code to work?
Thanks!
--
Brian D. Ripley, rip...@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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