Displaying 7 results from an estimated 7 matches for "initdefaultclusteropt".
2011 Jul 19
1
requiring NAMESPACE re-installation marked as old.packages?
...R
** inst
** Creating default NAMESPACE file
** preparing package for lazy loading
** help
*** installing help indices
** building package indices ...
** testing if installed package can be loaded
Warning: running .First.lib() for package 'snow' as .onLoad/.onAssign
were not found
Error in initDefaultClusterOptions() :
cannot change value of locked binding for 'defaultClusterOptions'
Error: loading failed
Execution halted
ERROR: loading failed
* removing '/home/mtmorgan/R/x86_64-unknown-linux-gnu-library/2.14/snow'
* restoring previous
'/home/mtmorgan/R/x86_64-unknown-linux-gnu-lib...
2018 Mar 04
2
Random Seed Location
...in different R packages.
R WISH:
There could be a
preserveRandomSeed({
tip <- sample(tips, 1)
})
function in R for these type of random needs where true random
properties are non-critical. This type of
"draw-a-random-number-and-reset-the-seed" is for instance used in
parallel:::initDefaultClusterOptions() which is called when the
'parallel' package is loaded:
seed <- .GlobalEnv$.Random.seed
ran1 <- sample.int(.Machine$integer.max - 1L, 1L) / .Machine$integer.max
port <- 11000 + 1000 * ((ran1 + unclass(Sys.time()) / 300) %% 1)
if(is.null(seed)) ## there was none, initially
rm(...
2018 Mar 04
0
Random Seed Location
...d be a
>
> preserveRandomSeed({
> tip <- sample(tips, 1)
> })
>
> function in R for these type of random needs where true random
> properties are non-critical. This type of
> "draw-a-random-number-and-reset-the-seed" is for instance used in
> parallel:::initDefaultClusterOptions() which is called when the
> 'parallel' package is loaded:
>
> seed <- .GlobalEnv$.Random.seed
> ran1 <- sample.int(.Machine$integer.max - 1L, 1L) / .Machine$integer.max
> port <- 11000 + 1000 * ((ran1 + unclass(Sys.time()) / 300) %% 1)
> if(is.null(seed)) ##...
2014 Mar 06
2
'parallel' package changes '.Random.seed'
Hi,
I've implemented parallelization in one of my packages using the
'parallel' package -- many thanks for providing it!
In my package I'm importing 'parallel' and so added it to the
DESCRIPTION file's 'Import:' tag and also added a
'importFrom("parallel", ...)' statement in the NAMESPACE file.
Parallelization works nicely, but my package
2018 Mar 05
1
Random Seed Location
...andomSeed({
>> tip <- sample(tips, 1)
>> })
>>
>> function in R for these type of random needs where true random
>> properties are non-critical. This type of
>> "draw-a-random-number-and-reset-the-seed" is for instance used in
>> parallel:::initDefaultClusterOptions() which is called when the
>> 'parallel' package is loaded:
>>
>> seed <- .GlobalEnv$.Random.seed
>> ran1 <- sample.int(.Machine$integer.max - 1L, 1L) / .Machine$integer.max
>> port <- 11000 + 1000 * ((ran1 + unclass(Sys.time()) / 300) %% 1)
>&g...
2018 Mar 04
0
Random Seed Location
Thank you, everybody, who replied! I appreciate your valuable advise! I will move the location of the set.seed() command to after all packages have been installed and loaded.
Best regards,
Gary
Sent from my iPad
> On Mar 4, 2018, at 12:18 PM, Paul Gilbert <pgilbert902 at gmail.com> wrote:
>
> On Mon, Feb 26, 2018 at 3:25 PM, Gary Black <gwblack001 at sbcglobal.net>
>
2018 Mar 04
3
Random Seed Location
On Mon, Feb 26, 2018 at 3:25 PM, Gary Black <gwblack001 at sbcglobal.net>
wrote:
(Sorry to be a bit slow responding.)
You have not supplied a complete example, which would be good in this
case because what you are suggesting could be a serious bug in R or a
package. Serious journals require reproducibility these days. For
example, JSS is very clear on this point.
To your question
>