similar to: toJSON question

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

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?

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 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:

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()

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

Is there a *fast* converter between JSON and R? I'm aware of the rjson package, but it is implemented in R, and it is too slow for my purposes. TIA! kynn [[alternative HTML version deleted]]

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

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,

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

I'm attempting to create an array of treatment comparisons for modelling data generation. This involves comparison of one treatment (c2) with another (c3), relative to a common comparator (c1). Attached code gives me the correct array but need to remove duplicates. Duplicates relate only to c2 and c3 such that I need to remove r3 because c2 and c3 are same as r1 with c2 and c3 swapped r5

Dear All, I am trying to create a empty structure that I want to fill gradually through the code. I want to use something like rbind to create the basic structure first. I am looking for a possibility to do an rbind where the columns names dont match fully (but the missing columns can be defaulted to either zero or n/a) (my actual data has a lot of columns). Please see the data frames below I

Hello, I have a data frame as below ... in cases where I have N.A. I want to use an average of the past date and next date .. any help? 13/10/2010 A 23 13/10/2010 B 12 13/10/2010 C 124 14/10/2010 A 43 14/10/2010 B 54 14/10/2010 C 65 15/10/2010 A 43 15/10/2010 B N.A. 15/10/2010 C 65 ---------------------------------------------------------------------------- -------------------------- Thanks

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,

Dear Group, I have the following data matrix which is a timeseries. > dput(tData) structure(list(A = c(0.2, 0.13, 0.05, 0.1, 0.02, 0.18, 0.09, 0.06, 0.13), B = c(0.15, 0.06, 0.09, 0.02, 0.03, 0.12, 0.01, 0.15, 0.06), C = c(-0.1, 0, -0.07, -0.06, -0.05, -0.05, -0.06, -0.08, -0.07), D = c(-0.15, -0.05, -0.1, -0.03, -0.13, -0.04, -0.1, -0.04, -0.15), E = c(-0.17, -0.16, -0.08, -0.07, -0.09,

Dear Group, I have a following dataset: > a A B C D 1 22 3 31 40 2 26 31 36 32 3 3 7 49 16 4 24 40 27 26 5 20 45 47 0 6 34 43 11 18 7 48 48 24 2 8 3 16 39 48 9 20 49 7 21 10 17 36 47 10 > dput(a) structure(list(A = c(22L, 26L, 3L, 24L, 20L, 34L, 48L, 3L, 20L, 17L), B = c(3L, 31L, 7L, 40L, 45L, 43L, 48L, 16L, 49L, 36L), C = c(31L, 36L, 49L, 27L, 47L, 11L, 24L,

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 unable to find the OR operator like other language .. any suggestions? I want to do If (condition1 OR condition 2){ do something } Thanks for answering this elementary question. [[alternative HTML version deleted]]

Dear R-Group, I am looking for suggestions for the "best" IDE for R. Best is obviously subjective but I need just the basic features that should function well (and I looked through the threads already). - Proper integration with R 2.11.1 - Good key shortcuts ... similar to the R Gui - Manageability of Projects, etc. - Neat formatting features I tried Revolution R but it seems huge in

Hello Group, I need a modification in the data.table example to get my intended result shown below ... is there a more simple way! dt <- data.table(A = rep(1:3, each=4), B = rep(1:4, each=3), C = rep(1:2, 6)) dt[, transform(.SD,D=mean(A)), by="B"] The result I want is below ... which is probably long winded! data.table(unique(as.data.frame(dt[, transform(.SD,D=mean(A)),