similar to: zlib

I have a Postgres database that I am connecting to with the Postgres ODBC driver on Windows XP in R 2.1.0. In the database is a database with two schemas (public and X). With RODBC (1.1-4) , I can connect to the database and get the tables with sqlTables(db). I can query tables in the schema with sqlQuery("SELECT * FROM X.test"). However, I can't get the columns in table X.test

Now available on CRAN is a revised version of the shapefiles package for reading and writing shapefiles in R. New additions, courtesy of others, include the ability to convert a simple R data frame of points, polylines or polygons to a shp format list, which can then be written out to a shapefile with write.shp. There is also a function to convert the read.shp shp format list to a simple data

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

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

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)

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 <-

>>>>> 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.

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,

Dear All, I'd like to be able to have R store (in a list component) a compressed data set, and then write it out uncompressed. gzcon and gzfile work in exactly the opposite direction. What would be a good way to handle this? Details: ---------- We have a package that uses C; part of the C output is a large sparse matrix. This is never manipulated directly by R, but always by the C code.

(Sorry for not linking to your message; I accidentally deleted the original copy of your message.) Your code > zz = textConnection('tempConnection', 'wb') > saveRDS(c("a", "b", "c"), zz, ascii = TRUE) > serialized_obj = paste(textConnectionValue(zz), collapse='\n') > readRDS(textConnection(serialized_obj)) Error in

Hi All, I think there is a memory error in the libcurl connection code that typically happens when libcurl reads big chunks of data. This potentially affects all code that use url() with the libcurl download method, which is the default in most builds. In practice it tends to happen more with HTTP/2 and if the connection is wrapped into a gzcon(). macOS Catalina has a libcurl build with HTTP/2

Dear All, I think I am confused about how I'd be able to use zlib starting with R 2.7.0. I just downloaded the latest development version, built it, etc, but I am not able to find the zlib.h that, I believe, R should place somewhere under "where/you/want/R/to/go" (from --prefix=/where/you/want/R/to/go). There seem to be entry points for zlib in the binary (e.g., grep -r gzopen ./

Hello, I am trying to access several netCDF files that are also zipped (via gzip I guess) (and stored in a directory that I only have reading permit) I tried to unzip them using gzfile, gzcon, etc, and then open them with open.ncdf (from ncdf package). Everything was unsuccesful. I had no problem using the ncdf package with "normal" netCDF files I would really appreciate any

Hi Sorry, I am clearly missing something here. I want to read this file directly: ftp://ftp.sanger.ac.uk/pub/mirbase/targets/v5/arch.v5.txt.gallus_gallus. zip I tried using read.table(gzfile("ftp://ftp.sanger.ac.uk/pub/mirbase/targets/v5/arch.v5 .txt.gallus_gallus.zip")) But I got an error: Error in open.connection(file, "r") : cannot open the connection In addition:

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

Dear all, I've been trying to track down a problem with timeouts when pulling data from an rsync daemon and I have now run out of any useful ideas. The problem manifests itself when I try to transfer a large directory tree on a slow client machine. What happens then is that the client rsync process successfully receives the list of files from the server, then begins checking the local

I find that if start R-2.6.0 in a workspace with no .RData file, load one of my workspaces from R-2.5.1 or earlier into R-2.6.0, and then before doing anything else type postscript(file="z.ps"), I get:: > ls() character(0) > load(url("http://www.maths.anu.edu.au/~johnm/r/test5.RData")) > postscript(file="z.ps") Error in postscript(file = "z.ps")

Hi All, I had working code under R v3.2 that serialized an object, stored the serialized object in a database, and then successfully retrieved and hydrated that object. I recently updated to R v3.4.1 and the same code now fails. Here is the code in question (simplified), and the resulting error: > zz = textConnection('tempConnection', 'wb') > saveRDS(c("a",

Here is a patch of changes from the proof-reading of the R reference manual, made against the current cvs. regards -- Brian Gough Network Theory Ltd -- Publishing Free Software Manuals 15 Royal Park Bristol BS8 3AL United Kingdom Tel: +44 (0)117 3179309 Fax: +44 (0)117 9048108 Web: http://www.network-theory.co.uk/ Index: src/library/base/man/Arithmetic.Rd

>>>>> Peter Simons <simons at nospf.cryp.to> >>>>> on Mon, 27 Feb 2017 10:30:39 +0100 writes: > Hi, I tried compiling the latest pre-release for R 3.3.3 > for the NixOS Linux distribution [1], but the build fails > during the "make check" phase because of the following 2 > issues: > 1) The "tools" test