similar to: Compression data to variable using gzcon

Hi all, I used `gzfile` and `gzcon` to read a compressed file but I found that `gzcon` gave me a different result than `gzfile`. It seems like the `gzcon` does not handle the data correctly. I have posted an example below. In the example, a portion of a compressed file is downloaded from Google Cloud as a raw vector, and the data is saved into a temp file. If I use ` gzfile` to read the file, it

I've noticed that the processing time for the default capture.output() grows exponentially in the number of characters outputted/captured. The default settings sinks to a temporary textConnection(). When instead sinking to a rawConnection(), the processing time becomes linear. See below example and attached PNG figure [also at

Here's an update of my rawConnection() implementation. In addition to providing a raw version of textConnection(), this fixes two existing issues with textConnection(): one is that the current textConnection() implementation carries around unprotected SEXP pointers, the other is a performance problem due to prolific copying of the output buffer as output is accumulated line by line. This new

The `gzcon` function both modifies and copies a connection object: # compressed text con1 <- url("http://www.stats.ox.ac.uk/pub/datasets/csb/ch12.dat.gz") con2 <- gzcon(con1) # almost indistinguishable con1==con2 identical(summary(con2), summary(con1)) # both support gzip readLines(con1, n = 3) readLines(con2, n = 3) # opening one opens both isOpen(con2)

All, At first glance, a recent commit to R-devel ( https://github.com/wch/r-source/commit/2c182014ecc8c2407a89092c9162d86046bd18da) appears to be related to long vector support. But as Henrik Bengtsson points out at https://github.com/HenrikBengtsson/Wishlist-for-R/issues/97#issuecomment-562659134, writeBin() still prohibits long vectors. Are there any plans to add long vector support to R

I wrote some code which reads a gzipped text file directly from the web with gzcon(url()) and it works perfectly on OSX, but I cannot get it to work on linux at all, trying several different R versions and linux distributions. Any ideas? Here's an example of my code: z <- gzcon(url("ftp://ftp-private.ncbi.nlm.nih.gov/pubchem/.fetch/8897497837079742771.sdf.gz")) sdf <-

>>>>> Will L >>>>> on Fri, 6 Dec 2019 16:02:59 -0500 writes: > All, At first glance, a recent commit to R-devel ( > https://github.com/wch/r-source/commit/2c182014ecc8c2407a89092c9162d86046bd18da) > appears to be related to long vector support. yes, for a very limited case, with a very nice minimal reproducible example and proper R bug

Not sure if this belongs here or on the devel list: I've needed a more efficient way to manipulate raw binary data in R, with more than the minimal raw transformation functions in the base package. So I've written a small package in C that effectively lets me cast back and forth between raw vectors and other data types. I've implemented four functions: rawToHex, hexToRaw, readRaw,

I've rolled up R-2.8.0.tar.gz a short while ago. This is a development release which contains a number of new features. Also, a number of mostly minor bugs have been fixed. See the full list of changes below. You can get it (later today) from http://cran.r-project.org/src/base/R-2/R-2.8.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. In case of impatience, try

I've rolled up R-2.8.0.tar.gz a short while ago. This is a development release which contains a number of new features. Also, a number of mostly minor bugs have been fixed. See the full list of changes below. You can get it (later today) from http://cran.r-project.org/src/base/R-2/R-2.8.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. In case of impatience, try

Hello, If repeated calls are made to save() using the same pre-opened gzfile connection to a file, and then the connection is closed, the objects saved by the second and subsequent calls are not correctly restored by repeated calls to load() with a new gzfile connection to the same file. What follows are a session exposing the bugs, analysis (see ANALYSIS), patches (see PATCHES), and a session

I have a couple of packages (?fiery? and ?reqres') that uses a mock of a rook request for their examples. The mock is an R6 object containing a rawConnection, along with a finalizer that closes this connection when the object is removed. So far so good. I?ve recently been getting CRAN errors due to the rawConnection not being closed in examples > cleanEx() Error: connections left open:

Hi. Under R-news there is an entry for 3.6.2 patched regarding LAPACK. However, when uncompresding the current R-patched, it creates R-Rc directories. Is this a naming oversight or is the patched version actually the unadjusted release candidate? Thank you, Avi On Thu, Dec 12, 2019 at 4:58 AM Peter Dalgaard via R-devel < r-devel at r-project.org> wrote: > The build system rolled up

Hola: Para el desarrollo del nuevo PluginR de Tiki (para poder ejecutar scripts de R desde Tiki: en páginas Wiki, hojas de cálculo web, etc, http://dev.tiki.org/PluginR ), por ahora estamos usando la lista de funciones que se usaban en el proyecto r-php, y que fueran heredadas por la extensión R de MediaWiki. Como r-php se hizo hace algunos años (2006), me pregunto si alguien sabe si hay

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Tue, 1 May 2018 16:14:43 +0200 writes: >>>>> G?bor Cs?rdi <csardi.gabor at gmail.com> >>>>> on Tue, 1 May 2018 12:05:32 +0000 writes: >> This is a not too old R-devel on Linux, it already fails >> in R 3.4.4, and on macOS as well.

To whom it may concern: My OS: CentOS 5.5 R version: R-2.11.1 My questions are as follows: First, I inputted commands: ----------------------------- # ./configure --enable-R-shlib # make # make check ----------------------------- Everything goes well until "make check". screen log: ************************************** make[1]: Entering directory `/tmp/R-2.11.1/tests' make[2]:

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

Hi all, I am trying to download, decompress and read a csv file. My code: myurl <- "ftp://ftp.ncbi.nih.gov/pub/geo/DATA/supplementary/series/GSE24729/GSE24729_MitoNuclear_suppl_male_stats.csv.gz" # myfile <- "GSE24729_MitoNuclear_suppl_male_stats.csv.gz" # download.file(myurl, destfile=myfile, mode="w") # mycon <- gzcon(gzfile(myfile,

On 12/11/2018 8:09 AM, Thomas Lin Pedersen wrote: > I have a couple of packages (?fiery? and ?reqres') that uses a mock of a rook request for their examples. The mock is an R6 object containing a rawConnection, along with a finalizer that closes this connection when the object is removed. So far so good. I?ve recently been getting CRAN errors due to the rawConnection not being closed in

Thank you. I apologize for not providing the link. [1] Under the news for R-revel there is a single entry for R 3.6.2-patched. The file I downloaded was [2] with a date of 2019-12-12 01:50. Is it safe to say that 3.6.2 has the LAPACK upgrades and fixes? Apologies in advance if iOS links the URL below. I cannot access gmail desktop from behind my corporate firewall. Thank you again, Avi [1]