similar to: rts conversion to ts?

Dear readers, S-Plus have a rts function (Regular Time Series), which is used like so: fveks<-read.csv('http://louise.hoffman.googlepages.com/veks.csv',header=TRUE,sep=',') attach(fveks) acf(ts.intersect(rts(HC.f),rts(Ta.f),rts(GR.f),rts(W.f))) Warning the csv file is 750kB. Can the same be done in R? Lots of love =) Louise

anybody tell me does wine supported rts program.. ?

Is plot(ts.object) equivalent to the S-Plus ts.plot ? -- ------------------------------------------------------------------------- Konstantinos E. Vorloou | Tel: +44 (0)191 374 1821 Department of Economics & Finance | Fax: +44 (0)191 374 7289 University of Durham, | email: K.E.Vorloou at durham.ac.uk 23/26 Old Elvet, | or : vorlow at rocketmail.com

Last line in the following (updated) code produces the error require(raster) require(rts) require(stringr) r <- raster(ncol=100, nrow=100) values(r) <- runif(ncell(r)) stack(r)->s r->rs for(i in 1:23){ rs[]<-r[]*i addLayer(s,rs)->s print(nlayers(s)) } dt<-list(ID=seq(1:24),month=rep(formatC(1:12,flag=0,width=2),2), year=sort(rep(2016:2017,12)))

aggregate.ts does not behave in the same way as the equivalent method aggregate.rts in S-PLUS. In particular it - changes the start of the time series - tends to have a length which is 1 shorter For example: R> x <- ts(1:10) R> aggregate(x, nfreq=0.5, FUN=min) Time Series: Start = 2 End = 8 Frequency = 0.5 [1] 2 4 6 8 S> x <- rts(1:10) S> aggregate(x, nf=0.5, fun = min) [1]

> On Mar 5, 2018, at 3:28 PM, <Alexander.Herr at csiro.au> <Alexander.Herr at csiro.au> wrote: > > Hi List, > > The following code returns an "Error in as.POSIXlt.character(x, tz, ...) : character string is not in a standard unambiguous format" I'm unable to produce that error. Which function was being evaluated to produce the error? I don't see

I can't test that at the moment as I don't have the libraries. Perhaps later. Jim On Tue, Mar 6, 2018 at 11:36 AM, <Alexander.Herr at csiro.au> wrote: > Last line in the following (updated) code produces the error > require(raster) > require(rts) > require(stringr) > r <- raster(ncol=100, nrow=100) > values(r) <- runif(ncell(r)) > stack(r)->s >

Hi List, The following code returns an "Error in as.POSIXlt.character(x, tz, ...) : character string is not in a standard unambiguous format" require(raster) require(rts) require(stringi) r <- raster(ncol=100, nrow=100) values(r) <- runif(ncell(r)) list(ID=seq(1:24),month=rep(str_pad(1:12, pad = 0,width = 2 , "left"),2),year=sort(rep(2016:2017,12)))->dt

Dear UseRs, I wrote following function in order to solve Data Envelopment Analysis. Reason for posting is that the function is slow when nrow(dat) is large. I wonder if other functions could substitute the for() loop in the code, such as mapply(). Can anybody help to rewrite the dea() function as efficiently as possible? The code is as follows:

Dear All, I am rather rusty with my R, but I recall being able to do something like plot(x1,...);plot(x2,add=TRUE,...) to plot two series on the same axes. Any suggestions how this may be done will be appreciated.

It works if you use as.Date. But this defeates the purpose for the yearmon notion... require(raster) require(rts) require(stringr) r <- raster(ncol=100, nrow=100) values(r) <- runif(ncell(r)) stack(r)->s r->rs for(i in 1:23){ rs[]<-r[]*i addLayer(s,rs)->s print(nlayers(s)) } dt<-list(ID=seq(1:24),month=rep(formatC(1:12,flag=0,width=2),2), year=sort(rep(2016:2017,12)))

In some language implementations, such as the Glasgow Haskell Compiler (GHC) and the reference implementation of Go, a thread’s stack is allocated as a data structure on the garbage-collected heap.  The garbage collector is free to move this data structure whenever it is invoked. Currently, GHC’s LLVM backend does not use the C stack.  However, there have been discussions about whether using the

Full_Name: Nuno Monteiro Version: 2.3.1 OS: Windows XP HE Submission from: (NULL) (84.9.38.207) I'm using the FEAR library to perform Data Envelopment analysis with a 36,000 obs dataset. The function dea is working fine but then when I try to use the boot.sw98 to come up with some sensitivity analysis I get the following error:

Hi Guys, I have some strangeness with routing, using standard route map.connect '':controller/:action/:id'' map.connect '':controller/:action/:id.:format'' Using console I did >> rts = ActionController::Routing::Routes >> rts.generate(:action => "edit", :controller => ''vendorlocations'', :id => 10) =>

Hi, I'm having an issue trying to make a Windows machine sambaserveroin a Samba domain. Samba is running with LDAP backend (OpenLDAP). When I try to join the domain, Windows says that the machine account does not exist. The machine account, however, is successfully created in the LDAP directory after the join fails. When I try to join again, Windows says that the account already exists.

Hi Herry, This is probably due to a call to strptime (or similar). No, it doesn't accept %Y-%m as a valid format. Maybe add a constant day to all the dates as that will work: dt<-list(ID=seq(1:24),month=rep(formatC(1:12,flag=0,width=2),2), year=sort(rep(2016:2017,12))) timelst<-paste(unlist(dt['year']),unlist(dt['month']),"01",sep="-")

"A number of virtqueues are created" seems clearer than "the number of virtqueues": it's virtqueues that are created not the number. Signed-off-by: Michael S. Tsirkin <mst at redhat.com> --- I'm not a native english speaker but the below seems correct to me. Rusty? virtio-spec.lyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git

"A number of virtqueues are created" seems clearer than "the number of virtqueues": it's virtqueues that are created not the number. Signed-off-by: Michael S. Tsirkin <mst at redhat.com> --- I'm not a native english speaker but the below seems correct to me. Rusty? virtio-spec.lyx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git

Fritz, I have slightly adapted (didn't work before) "tsboot" from the "boot" library to the current time series conventions of R. The following patch will do that. I suggest to apply this patch to the file "boot/R/bootfuns.q" of the "boot" library at CRAN. best Adrian --- bootfuns.orig.q Thu Dec 9 10:07:23 1999 +++ bootfuns.q Thu Dec 9 10:06:51 1999

Fritz, I have slightly adapted (didn't work before) "tsboot" from the "boot" library to the current time series conventions of R. The following patch will do that. I suggest to apply this patch to the file "boot/R/bootfuns.q" of the "boot" library at CRAN. best Adrian --- bootfuns.orig.q Thu Dec 9 10:07:23 1999 +++ bootfuns.q Thu Dec 9 10:06:51 1999