Hi All, I'm using a function, say func, and I want to apply it to all the rows of a certain matrix. The problem is that my code kept on running for more than two days without giving any output. I've made some modifications.But is there a way to know the time needed to execute my code and reach an ouput but before running the code and not after it is run? I've tried Sys.time() and system.time(), but still the console freezed for so long and I didn't reach anything. Any suggestions are much appreciated. Thanks in advance. Maram Salem [[alternative HTML version deleted]]
It may be useful for you to estimate the time complexity of your function: try
it with smaller input that takes short and noticeable time, see whether the time
increases linearly, quadratically, or exponentially with the number of elements
you process, then extrapolate to your full data set.
To see what your function is doing, you could
- add a print statement that tells you the progress every 1000 or 10,000 items
or so...
- add a progress bar
https://stat.ethz.ch/R-manual/R-patched/library/utils/html/txtProgressBar.html
- install and use the pbapply package
https://cran.r-project.org/web/packages/pbapply/pbapply.pdf
You are right to make sure you are getting some feedback, it is easy to make a
mistake in function logic that will cause a function to fail to terminate.
B.
On Oct 25, 2015, at 5:05 PM, Maram SAlem <marammagdysalem at gmail.com>
wrote:
> Hi All,
>
> I'm using a function, say func, and I want to apply it to all the rows
of a
> certain matrix. The problem is that my code kept on running for more than
> two days without giving any output. I've made some modifications.But is
> there a way to know the time needed to execute my code and reach an ouput
> but before running the code and not after it is run? I've tried
Sys.time()
> and system.time(), but still the console freezed for so long and I
didn't
> reach anything.
>
> Any suggestions are much appreciated.
> Thanks in advance.
>
> Maram Salem
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.
Thanks for helping Boris. Regards, Maram Salem On 25 October 2015 at 23:30, Boris Steipe <boris.steipe at utoronto.ca> wrote:> It may be useful for you to estimate the time complexity of your function: > try it with smaller input that takes short and noticeable time, see whether > the time increases linearly, quadratically, or exponentially with the > number of elements you process, then extrapolate to your full data set. > > > To see what your function is doing, you could > - add a print statement that tells you the progress every 1000 or 10,000 > items or so... > - add a progress bar > > https://stat.ethz.ch/R-manual/R-patched/library/utils/html/txtProgressBar.html > - install and use the pbapply package > https://cran.r-project.org/web/packages/pbapply/pbapply.pdf > > > You are right to make sure you are getting some feedback, it is easy to > make a mistake in function logic that will cause a function to fail to > terminate. > > > B. > > > > On Oct 25, 2015, at 5:05 PM, Maram SAlem <marammagdysalem at gmail.com> > wrote: > > > Hi All, > > > > I'm using a function, say func, and I want to apply it to all the rows > of a > > certain matrix. The problem is that my code kept on running for more than > > two days without giving any output. I've made some modifications.But is > > there a way to know the time needed to execute my code and reach an ouput > > but before running the code and not after it is run? I've tried > Sys.time() > > and system.time(), but still the console freezed for so long and I didn't > > reach anything. > > > > Any suggestions are much appreciated. > > Thanks in advance. > > > > Maram Salem > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at 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. > >[[alternative HTML version deleted]]