Have you checked out Hadley's secret package?
https://github.com/hadley/secure/blob/master/README.md
Sent from my iPhone
On 6 Jun 2015, at 8:19 am, Neal Fultz wrote:
I am working on updating the RGoogleDocs package to use OAuth2, since the
old api was recently turned off (at my job we use it
On 5 June 2015 at 15:19, Neal Fultz wrote:
| I am working on updating the RGoogleDocs package to use OAuth2, since the
| old api was recently turned off (at my job we use it as a poor mans
| database).
|
| As part of the auth process, I need to send google a client key and secret
| in order to ga
On 05/06/2015 6:19 PM, Neal Fultz wrote:
> I am working on updating the RGoogleDocs package to use OAuth2, since the
> old api was recently turned off (at my job we use it as a poor mans
> database).
>
> As part of the auth process, I need to send google a client key and secret
> in order to gain
I am working on updating the RGoogleDocs package to use OAuth2, since the
old api was recently turned off (at my job we use it as a poor mans
database).
As part of the auth process, I need to send google a client key and secret
in order to gain access to a spreadsheet. Is there a 'safe' place to s
The answer is do not try to manage the RNG from C. Just do
GetRNGstate();
then generate a lot of random variates and then
PutRNGstate();
just before leaving. There is only one call to each in one call of C from
R.
This is TRT (the Right Thing). Anything else is TWT (the Wrong Thing).
Start
I ultimately found more details in the 'Writing R Extensions' in another
section (http://www.hep.by/gnu/r-patched/r-exts/R-exts_11.html). I needed
to assign the object files to the OBJECTS variable with an '=' sign and
remove anything below the .so block. The new block that successfully
compiled
A quick followup, even when I try and use the g++ I cannot seem to pass the
objects (it keeps omitting the .o file generated from nvcc). How can I
have my Makevars file pass a defined list of object files to the final
shared library call?
Alternate gpuRcuda.so block where the build output still
Greetings,
Quick context, I have been working on developing a set of packages to make
GPU computing as simple as possible with R. I have a functional package
that works very nicely with OpenCL based code (gpuR -
https://github.com/cdeterman/gpuR) but I also am building a companion CUDA
backend pa
