similar to: R 2.11.1 is released

Hi, I am getting unexpected behaviour from aggregate.ts(). The 'ndeltat' argument is effectively being reduced by 1 in some cases, even when it is an integer, with the result that the blocks to be aggregated are not of the expected size, and also that the end() of the aggregated series is much later than the end() of the original series. rawts <- ts(rep(1:10, each = 5), start = 1) ##

Hi, I have zlib compressed strings (example is attached) and would like to decompress them using memDecompress ... I try this: > connection <- file("compressed.txt","r") > compressed <- readLines(connection) > memDecompress(as.raw(compressed),type="g") Error in memDecompress(as.raw(compressed), type = "g") : internal error -3 in

Hi all, I'm struggling to decompress a gzip'd raw vector in memory: content <- readBin("http://httpbin.org/gzip", "raw", 1000) memDecompress(content, type = "gzip") # Error in memDecompress(content, type = "gzip") : # internal error -3 in memDecompress(2) I'm reasonably certain that the file is correctly compressed, because if I save it

I've stumbled across an issue with aggregate.ts that either is due to a misuse of %/% or something deeper relating to numerical precision on Windows. The test code is x <- rep(6:10, 1:5) as.vector(aggregate(as.ts(x), FUN = mean, ndeltat = 5)) On Linux and Mac I get the correct answer > x <- rep(6:10, 1:5) > as.vector(aggregate(as.ts(x), FUN = mean, ndeltat = 5) [1] 7.2 8.8

I would like to use aggregate.ts() and apply() on circular data, but I can't figure out how to get the circular data components to pass through: library(circular) x <- circular(c(20, 30, 355, 5, 345, 25), units = "degrees") % I want to get the mean angle for each successive pair; answer should be c(25, 0, 5): aggregate.ts(x, ndeltat=2, FUN="mean.circular") Error in

I have a time series vector (not necessarily ts class) that has NAs in it. How can I omit the NAs when using aggregate.ts() to compute a function on each window? If there is at least one non-NA value in each window, I'd like to proceed with evaluating the function; otherwise, I would like NA returned. I'm not wedded to aggregate.ts and don't need ts class if there is another fast,

Full_Name: Tim Heaton Version: 2.8.1 OS: linux-gnu Submission from: (NULL) (143.167.4.162) Hi, In my version of R, the stats package splinefun code for fitting a Fritsch and Carlson monotonic spline does not guarantee a monotonic result. If two adjoining sections both have over/undershoot the way the resulting adjustment of alpha and beta is performed can give modified values which still do

Hello, I would like to compress a long string (character vector), store the compressed string in the text field of a SQLite database (using RSQLite), and then load the text back into memory and decompress it back into the the original string. My character vector can be compressed considerably using standard gzip/bzip2 compression. In theory it should be much faster for me to compress/decompress

I'm having trouble with column-subsetting a multivariate time series. The underlying problem is with start(). R> x <- ts(matrix(rnorm(100), ncol=2)) R> y <- aggregate(x, ndeltat=2) R> y[,1] Error in ts(y, start = start(x), freq = frequency(x)) : invalid start R> start(y) [1] 2 1 R> frequency(y) [1] 0.5 The point where the error occurs in ts() is:

Hello R users, I'm a newby to R (and programming software at large) and I would need some help to sum up event data at discreet time and irregular time interval into a hourly frequency. Here is an example of my time series frame (irregular time-serie object - irts in the tseries package): time value 2008-12-19 19:11:03 GMT 1 2008-12-19 19:12:00 GMT 0 2008-12-19

The build system rolled up R-3.0.1.tar.gz (codename "Good Sport") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.0.1.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team Peter Dalgaard These

Hello, I am trying to build the R-2.11.1 software for university faculty to use in research projects on a DEC/Compaq/HP AlphaServer model GS160 16CPU/64GB memory running Tru64Unix aka OSF1 version 5.1B-5. Is it known whether it is possible to build the R-2.11.1 software on the platform I am using? In my attempts to build the R-2.11.1 software, I first used the native C and Fortran 77/90/95

Hi, In my version of R, the stats package splinefun code for fitting a Fritsch and Carlson monotonic spline does not appear to guarantee a monotonic result. If two adjoining sections both have over/undershoot the way the resulting adjustment of alpha and beta is performed can give modified values which still do not satisfy the required constraints. I do not think this is due to finite precision

Hi all, I am running to the following problem, when using the below dialplan to receive fax, everything works perfect till this line exten => receive,n,ReceiveFAX(${FAXFILE}): and then the following line cannot be executed, it's like asterisk can't go back to dialplan and continue, the good news is when i check what is received in my fax folder i find that the file is a valid one (not

Dear useRs, Rook is a new package that does three things: - It provides a way to run R web applications on your desktop with the new internal R web server named Rhttpd. Please see the Rhttpd help page. - It provides a set of reference classes you can use to write you R web applications. The following help pages provide more information: Brewery, Builder, File, Middleware, Redirect,

Dear useRs, Rook is a new package that does three things: - It provides a way to run R web applications on your desktop with the new internal R web server named Rhttpd. Please see the Rhttpd help page. - It provides a set of reference classes you can use to write you R web applications. The following help pages provide more information: Brewery, Builder, File, Middleware, Redirect,

The build system rolled up R-4.0.0.tar.gz (codename "Arbor Day") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-4/R-4.0.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard These are

The build system rolled up R-4.0.0.tar.gz (codename "Arbor Day") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-4/R-4.0.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard These are

The build system rolled up R-4.0.0.tar.gz (codename "Arbor Day") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-4/R-4.0.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team, Peter Dalgaard These are

The build system rolled up R-4.4.0.tar.gz and R-4.4.0.tar.xz (codename "Puppy Cup") this morning. This is a major update, containing many new features and bug fixes. The list below details the changes in this release. You can get the source code from https://cran.r-project.org/src/base/R-4/R-4.4.0.tar.gz https://cran.r-project.org/src/base/R-4/R-4.4.0.tar.xz or wait for it to be