diag(n) is alright when n = 5e3, it took 0.7 sec on my machine for
diag(5e3). However, it's slow when n = 23000, diag(23000) took 15 sec
On 11 June 2012 17:43, Ceci Tam <yeeching...@gmail.com> wrote:
> diag(n) is alright when n = 5e3, it took 0.7 sec on my machine for
> diag(5e3). However, it's slow when n = 23000, diag(23000) took 15 sec
>
> On 9 June 2012 06:32, R. Michael Weylandt <michael.weyla...@gmail.com>wrote:
>
>> On Fri, Jun 8, 2012 at 5:31 PM, R. Michael Weylandt
>> <michael.weyla...@gmail.com> wrote:
>> > For the matter and hand, you can probably get to it by simply trying
>> > base:::diag. In this case, it's not too hard because what you're
>> > seeing is the S4 generic that the Matrix package is defining _over_
>> > the regular base function generic.
>>
>> Sorry -- the regular base function is not a generic in this case.
>> Everything else still holds though. (Same tricks to find things work
>> with print which becomes both an S3 and S4 generic on loading Matrix)
>>
>> >
>> > More generally, going down the rabbit hole of S4:
>> >
>> > As it suggests, first try
>> >
>> > showMethods("diag")
>> >
>> > and you'll see a long list of types. The parallel to the *.default
>> > method is the one with signature "ANY" so you can try that:
>> >
>> > getMethod("diag", "ANY")
>> >
>> > which gets you where you need to be.
>> >
>> > Hope this helps,
>> > Michael
>> >
>> > On Fri, Jun 8, 2012 at 5:11 PM, Spencer Graves
>> > <spencer.gra...@structuremonitoring.com> wrote:
>> >> How can one get the source code for diag? I tried the following:
>> >>
>> >>
>> >>> diag
>> >> standardGeneric for "diag" defined from package "base"
>> >>
>> >> function (x = 1, nrow, ncol)
>> >> standardGeneric("diag")
>> >> <environment: 0x0000000009dc1ab0>
>> >> Methods may be defined for arguments: x, nrow, ncol
>> >> Use showMethods("diag") for currently available ones.
>> >>
>> >>
>> >> How can I look at the code past the methods dispatch?
>> >>
>> >>
>> >>> methods('diag')
>> >> [1] diag.panel.splom
>> >> Warning message:
>> >> In methods("diag") : function 'diag' appears not to be generic
>> >>
>> >>
>> >> So "diag" is an S4 generic. I tried the following:
>> >>
>> >>
>> >>> dumpMethods('diag', file='diag.R')
>> >>> readLines('diag.R')
>> >> character(0)
>> >>
>> >>
>> >> More generally, what do you recommend I read to learn about S4
>> >> generics? I've read fair portions of Chambers (1998, 2008), which
>> produced
>> >> more frustration than enlightenment for me.
>> >>
>> >>
>> >> Thanks,
>> >> Spencer
>> >>
>> >>
>> >> On 6/8/2012 12:07 PM, Uwe Ligges wrote:
>> >>>
>> >>> I quickly looked at it, and the difference comes from:
>> >>>
>> >>> n <- 5e3
>> >>> system.time(x <- array(0, c(n, n))) # from diag()
>> >>> system.time(x <- matrix(0, n, n)) # from Rdiag()
>> >>>
>> >>> Replaced in R-devel.
>> >>>
>> >>> Best,
>> >>> Uwe Ligges
>> >>>
>> >>>
>> >>>
>> >>> On 07.06.2012 12:11, Spencer Graves wrote:
>> >>>>
>> >>>> On 6/7/2012 2:27 AM, Rui Barradas wrote:
>> >>>>>
>> >>>>> Hello,
>> >>>>>
>> >>>>> To my great surprise, on my system, Windows 7, R 15.0, 32 bits, an R
>> >>>>> version is faster!
>> >>>>
>> >>>>
>> >>>> I was also surprised, Windows 7, R 2.15.0, 64-bit
>> >>>>
>> >>>>
>> >>>> > rbind(diag=t1, Rdiag=t2, ratio=t1/t2)
>> >>>> user.self sys.self elapsed user.child sys.child
>> >>>> diag 0.72 0.080000 0.81 NA NA
>> >>>> Rdiag 0.09 0.030000 0.12 NA NA
>> >>>> ratio 8.00 2.666667 6.75 NA NA
>> >>>> >
>> >>>> > sessionInfo()
>> >>>> R version 2.15.0 (2012-03-30)
>> >>>> Platform: x86_64-pc-mingw32/x64 (64-bit)
>> >>>>
>> >>>> locale:
>> >>>> [1] LC_COLLATE=English_United States.1252
>> >>>> [2] LC_CTYPE=English_United States.1252
>> >>>> [3] LC_MONETARY=English_United States.1252
>> >>>> [4] LC_NUMERIC=C
>> >>>> [5] LC_TIME=English_United States.1252
>> >>>>
>> >>>> attached base packages:
>> >>>> [1] splines stats graphics grDevices utils datasets methods
>> >>>> [8] base
>> >>>>
>> >>>> other attached packages:
>> >>>> [1] fda_2.2.9 Matrix_1.0-6 lattice_0.20-6 zoo_1.7-7
>> >>>>
>> >>>> loaded via a namespace (and not attached):
>> >>>> [1] grid_2.15.0 tools_2.15.0
>> >>>> >
>> >>>>
>> >>>>
>> >>>> Spencer
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> Rdiag <- function(n){
>> >>>>> m <- matrix(0, nrow=n, ncol=n)
>> >>>>> m[matrix(rep(seq_len(n), 2), ncol=2)] <- 1
>> >>>>> m
>> >>>>> }
>> >>>>>
>> >>>>> Rdiag(4)
>> >>>>>
>> >>>>> n <- 5e3
>> >>>>> t1 <- system.time(d1 <- diag(n))
>> >>>>> t2 <- system.time(d2 <- Rdiag(n))
>> >>>>> all.equal(d1, d2)
>> >>>>> rbind(diag=t1, Rdiag=t2, ratio=t1/t2)
>> >>>>>
>> >>>>>
>> >>>>> Anyway, why don't you create it once, save a copy and use it many
>> times?
>> >>>>>
>> >>>>> Hope this helps,
>> >>>>>
>> >>>>> Rui Barradas
>> >>>>>
>> >>>>> Em 07-06-2012 08:55, Ceci Tam escreveu:
>> >>>>>>
>> >>>>>> Hello, I am trying to build a large size identity matrix using
>> >>>>>> diag(). The
>> >>>>>> size is around 23000 and I've tried diag(23000), that took a long
>> time.
>> >>>>>> Since I have to use this operation several times in my program, the
>> >>>>>> running
>> >>>>>> time is too long to be tolerable. Are there any alternative for
>> >>>>>> diag(N)?
>> >>>>>> Thanks
>> >>>>>>
>> >>>>>> Cheers,
>> >>>>>> yct
>> >>>>>>
>> >>>>>> [[alternative HTML version deleted]]
>> >>>>>>
>> >>>>>> ______________________________________________
>> >>>>>> R-help@r-project.org mailing list
>> >>>>>> https://stat.ethz.ch/mailman/listinfo/r-help
>> >>>>>> PLEASE do read the posting guide
>> >>>>>> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
>> >>>>>> and provide commented, minimal, self-contained, reproducible code.
>> >>>>
>> >>>>
>> >>>> ______________________________________________
>> >>>> R-help@r-project.org mailing list
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>> >>>> PLEASE do read the posting guide
>> >>>> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
>> >>>> and provide commented, minimal, self-contained, reproducible code.
>> >>
>> >>
>> >> ______________________________________________
>> >> R-help@r-project.org mailing list
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>> >> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
>> >> and provide commented, minimal, self-contained, reproducible code.
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
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>> PLEASE do read the posting guide
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>>
>
>
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