Following the posting guide and hence reading the help page first helps:
"Possible sizes are 1, 2, 4 and possibly 8 for integer or logical
vectors, and 4, 8 and possibly 12/16 for numeric vectors."
Best,
Uwe Ligges
On 04.01.2015 08:03, Mike Miller wrote:
Thanks for the pedantic insult, but no thanks. I'd rather just hear if
anyone reading this is able to make something like this work on any
architecture:
vec <- 1:10/10
con <- file( "test.bin16", "wb" )
writeBin( vec , con, size=2 )
close(con)
If they can do it, they can tell me about it. That shouldn't ruin the
list for anyone else.
I can understand why a machine architecture would prevent floating-point
operations with half-precision numbers, but I can't understand how it
prevents us from encoding doubles as half-precision to store them in a
file. They could then be read back in, translated on the fly into
doubles. Like I said, I've been using integers instead of floats to
store the numbers in files, but it could be slightly more convenient to
use half-precision floats for storage instead of converting integers to
floats.
Almost forgot. Please tell me how this changes anything:
sessionInfo()
R version 3.1.1 (2014-07-10)
Platform: x86_64-unknown-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
LC_COLLATE=C LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
LC_PAPER=en_US.UTF-8 LC_NAME=C
LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8
LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] tools_3.1.1
Also, this is how the hexbin package is described:
"Description" Binning and plotting functions for hexagonal bins."
So I guess that suggestion wasn't helping me much, either.
Mike
On Sat, 3 Jan 2015, Jeff Newmiller wrote:
Your message is missing either a reproducible example or an indication
of your R environment (such as the output of sessionInfo()).
Yes, the machine architecture can prevent certain types of operations.
This is however a poor venue for discussing such issues.
I suggest that you investigate the hexbin package for binary data
handling, and if you still have issues then post again, following the
posting guide recommendations.
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On January 3, 2015 9:31:02 PM PST, Mike Miller <mbmille...@gmail.com>
wrote:
It's an IEEE standard format:
http://en.wikipedia.org/wiki/Half-precision_floating-point_format#IEEE_754_half-precision_binary_floating-point_format:_binary16
This is what I see:
writeBin(vec , con, size=2 )
Error in writeBin(vec, con, size = 2) : size 2 is unknown on this
machine
I'm not sure what the machine has to do with it. It's really up to the
software, isn't it?
Is there a way to get R to read/write half-precision numbers
(binary16)?
It isn't a big deal for me because unsigned 16-bit integers are working
well enough, but I'd like to have an answer for people who ask why I
make
them divide by 1000 all the time. ;-)
Mike
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PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
