similar to: how to avoid farword slashes in RJSONIO output

Hi friends, I was trying to install RJSONIO in Ubuntu10.04 LTS but unfortunately ends up with following error. trying URL 'http://stat.ethz.ch/CRAN/src/contrib/RJSONIO_0.98-1.tar.gz' Content type 'application/x-gzip' length 1150673 bytes (1.1 Mb) opened URL ================================================== downloaded 1.1 Mb * installing *source* package ‘RJSONIO’ ... Trying to

I can never remember where the canonical sources are for the effectively-CRAN maintained packages so I am dropping it here -- yesterday's update to RJSONIO does not build on anything older than r-devel. This patch helps, feel free to adjust as needed. Dirk diff -ru RJSONIO.orig/src/RJSON.c RJSONIO/src/RJSON.c --- RJSONIO.orig/src/RJSON.c 2025-03-24 02:10:08.000000000 -0500 +++

Trying to install rjsonio and I've run into a couple of issues. 1. When installing from R, it's starts to download, then I get * installing *source* package 'RJSONIO' ... ERROR: configuration failed for package 'RJSONIO' * removing 'C:/Program Files/R/R-3.0.0/library/RJSONIO' 2. I've tried similar steps on the cmd(I'm win7). I receive the same message,

Hi everybody I am trying to install RJSONIO from source in on Mac OS X 10.5.8. I used the Package Installer. The message and sessionInfo is attached below Can someone help me to understand the error message and maybe give hint towards solving the problem thanks in advance Christiaan Message: The downloaded packages are in

Hi All, has anyone run into maximum depth of nested JSON arrays in either rjson or RJSONIO ? I seem to be able to get up to 10 depth levels without problem, but crossing over to 11 either causes an error or fails to load the nodes properly. with RJSONIO I tried: a = fromJSON('data/myJSON.json', depth=1000) but I still get this error: Error in fromJSON(content, handler, default.size,

Hi all, I need your opinion about using R-Rapache to build a knowlegde base to bioinformatics field. I have copious amount of genotype information (some few million records) and would like to store it in MySQL database. Then, using RMySQL connector I would like to use it for further analysis using R over a web interface. The web interface which I am thnking off, just does not serve the purose of

Hi friends, I have following data and would like to plot this with barchart() availble with lattice package. RsID Freqs Genotype AAA 63.636 1/1 AAA 32.727 1/2 AAA 3.636 2/2 BBB 85.965 2/2 BBB 14.035 2/1 CCC 63.158 1/1 CCC 21.053 1/2 CCC 15.789 2/2 DDD 26.786 2/2 DDD 46.429 2/1 DDD 26.786 1/1 EEE 32.759 2/2 EEE 43.103 2/1

Hi! I'm working on a package that must convert data to and from JSON. For this, it can use either the rjson package, or preferably, the faster RJSONIO package. I have two related questions about this. First, how can I specify that the package depends on *either* RJSONIO *or* rjson? (I.e. both are not required.) Second, what's the best-practice R idiom for such conditional loading?

I don't know what's means about register in sip.conf such as: register => user:secret:authuser@host:port/extension even if I registe a sip proxy , but how use it ? I think : when incoming from sip proxy to asterisk : user a --> sip proxy --> asterisk --> pstn sip proxy : SER in ser.cfg farword ( "192.168.0.10" , 5060 ) this will forward a call to

I have setup a Solaris server to test packages before submitting to CRAN, in order to catch problems that might not reveal themselves on Fedora, Debian, OSX or Windows. The machine runs a Solaris 11.2 vm with Solaris Studio 12.3. I was able to compile current r-devel using the suggested environment variables from "R Installation and Administration" and: ./configure

I'm trying to install the rdatamarket package. I did an install.packages('rdatamarket') command but got an error about half way through the install as follows: * installing *source* package ?RCurl? ... checking for curl-config... no Cannot find curl-config ERROR: configuration failed for package ?RCurl? The install continued after the error but looks like it was completed. I'm

I have come across an issue converting a JSON string in R (with either the package 'rjson' or 'RJSONIO') when big integers are included in the JSON string. A simple example of the problem is: > options(scipen=999) # To prevent representing the answer in scientific notation > json.str <- '{"bigInt":123456789123456789}' # Sample JSON string with big

Hello All - I am trying to use RJSONIO to read in some JSON files. I was wondering if anyone could please comment on the level of complexity of the files it can be used to read, exports from or directly from NoSQL DBMS like MongoDB and such. Also, i understand that in reading the JSON file RJSONIO will automatically create the necessary structures. However I cannot seem to use to to read the

Hello, I am trying to use RJSONIO I have: x <- c(0,4,8,9) y <- c(3,8,5,13) z <- cbind(x,y) Any idea how to convert z into the JSON format below? I want to get the following JSON output to put into a php file. [[0, 3], [4, 8], [8, 5], [9, 13]] Thank you.

Hello to everybody, I need to convert a json dataset in an R dataframe. I suppose that I'd need to use rjson or rjsonio package. The json dataset is: http://apistat.istat.it/?q=getdatajson&dataset=DCIS_POPSTRBIL&dim=1,0,0,0&lang=1&tr=&te= It would be nice if someone can help me to create a function like the one below:

❦ 4 avril 2018 15:59 +0200, Michal Privoznik <mprivozn@redhat.com> : >> I may have missed this suggestion. Maybe Dan only sent it to you? > > No, there is another thread where this issue is discussed: > > https://www.redhat.com/archives/libvir-list/2018-April/msg00190.html > > In the >> meantime, could I change the locks around virHashForEach() and similar

Hi I have a distance matrix which is computed by user defined method. I would like to plot the dendrogram. I would like to use different color and want the leaves laying down bottom. The script like this. I am not familiar with R. I followed the example shown in http://stat.ethz.ch/R-manual/R-devel/library/stats/html/dendrogram.html dist.obj <- as.dist(matrix.distance) hc.obj <-

Hi Folks, If you need to send data from Java to R you may consider using the JDataFrame API -- which is used to convert data into JSON which then can be converted into a data frame in R. Here's the project page: https://coherentlogic.com/middleware-development/jdataframe/ and here's a partial example which demonstrates what the API looks like: String result = new JDataFrameBuilder()

I prepared a vm image to make testing on Solaris a bit easier. It is based of the official Oracle Solaris 11.2 VM template and includes two preinstalled versions of R, two compilers and some other software: - Solaris Studio 12.3 - Oracle R Distribution aka ORD (uses Solaris Studio) - OpenCSW: * r_base (uses GCC) * gcc4g++ and gcc4gfortran * git * vim The image is distributed in

Hi Simon, Thanks for your feedback. -- this is an observation that I wasn't considering when I wrote this mainly because I am, in fact, working with rather small data sets. BTW: There is code there, it's under the bitbucket link -- here's the direct link if you'd still like to look at it: https://bitbucket.org/CoherentLogic/jdataframe Re "for practical purposes is