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Hi my name is Abhinandan Bhattacharjee i am student of Computer Science stream of netaji subhash engineering college, kolkata, West bengal, India. I know php,c,c++,java and working on python iike your organistion and would love to work for it in thi years gsoc please guide me what i need to do i have done some projects these are -- htt...

Thanks for replying i was thinking of working on PHP binding improvement project i thnk it fits my skills. how should i start help.. On Wed, Feb 26, 2014 at 5:11 PM, Olly Betts <olly at survex.com> wrote: > On Tue, Feb 25, 2014 at 08:12:40PM +0530, Avinandan Bhattacharjee wrote: > > Hi my name is Abhinandan Bhattacharjee i am student of Computer Science > > stream of netaji subhash engineering college, kolkata, West bengal, > India. > > I know php,c,c++,java and working on python iike your organistion and > would > > love to work for it...

Can any one help me to solve problem in my code? I am actually trying to find the stopping index N. So first I generate random numbers from normals. There is no problem in finding the first stopping index. Now I want to find the second stopping index using obeservation starting from the one after the first stopping index. E.g. If my first stopping index was 5. I want to set 6th observation from

Hello Everybody, I am running a R script through a perl code from command line. The perl script is like: my $cmd= 'R CMD BATCH D:/try5.R'; system($cmd); I run the perl code from command line. Now I want to pass some command line arguments to the R script. Its like the argv concept of perl. Do I pass the arguments through my $cmd in the perl script? If yes, then how to access that in

Dear R people, I want to use the tune.nnet function of e1071 package to tune nnet . I am unable to understand the parameters of tune.nnet from the e1071 pdf document. I have performed nnet on a traindata and want to test it for class prediction with a testdata. I want to know the values of size,decay,range etc. parameters for which the prediction of testdata is best. Can anyone please tell me

Let us consider the current uniform sampling without replacement algorithm. It resides in function do_sample in https://svn.r-project.org/R/trunk/src/main/random.c Its complexity is obviously O(n), where the sample is selected from 1...n, since the algorithm has to create a vector of length n. So when the sample size is much lesser than n, the algorithm is not effective. Algorithms with

I am using the .Call interface to call c++ code from R. For that, I am trying to create a dynamic library (mylib.so) using "R CMD SHLIB" by linking my own c++ code and an external c++ library (blitz++). The makefile works fine on my Mac, produces mylib.so and I am able to call .Call() from R, but on a linux server (I think Debian), I got the following error: ---------- /usr/bin/ld:

I am using the .Call interface to call c++ code from R. For that, I am trying to create a dynamic library (mylib.so) using "R CMD SHLIB" by linking my own c++ code and an external c++ library (blitz++). The makefile works fine on my Mac, produces mylib.so and I am able to call .Call() from R, but on a linux server (I think Debian), I got the following error: ---------- /usr/bin/ld:

...Times (Johannes Huesing) > 39. Re: R in the NY Times (Gabor Grothendieck) > 40. Re: Hmisc-xtable label (Solved) (Felipe Carrillo) > 41. how to get the signed distance in SVM? (Qing Li) > 42. Problem with compiling shared C/C++ library for loading into > R (Linux) (Samsiddhi Bhattacharjee) > 43. Problem with compiling shared C/C++ library for loading into > R (Linux) (Samsiddhi Bhattacharjee) > 44. Rserve/RandomForest does not work with a CSV? > (anthony@resolution.com) > 45. Re: The R Inferno (milton ruser) > 46. Re: Arguments for Rcmd BATCH (Prof Br...

...apply and cor.test to compute > correlation p.values for 2 matrices (jim holtman) > 15. how to check linearity in Cox regression (Terry Therneau) > 16. Chi-Square Test Disagreement (Andrew Choens) > 17. Re: eclipse and R (Tobias Verbeke) > 18. Finding Stopping time (Debanjan Bhattacharjee) > 19. Re: Very slow: using double apply and cor.test to compute > correlation p.values for 2 matrices (David Winsemius) > 20. memory limit (iwalters) > 21. Needs suggestions for choosing appropriate R packages > (zhijie zhang) > 22. plm pakage (valeria pedrina) &gt...

Hello Everybody, I am trying to perform SAM with the samr package. I am using the following code: sink ("R005") library(siggenes) library(samr) library(nnet) A <- as.matrix(read.table("D:\samrgenes1000.txt")) B <- as.matrix(read.table("D:\genenames1000.txt")) y1 <- c(rep(1,20),rep(2,6)) #there are 20 chips of one kind and 6 of the other kind. datasam =

Hello All, I am working with samr and nnet packages. I am following the steps given below: 1> I take a input file with signal values for 9506 genes and 36 chips , belonging to two classes. 2> I perform samr analysis on 80% of chip data from both the classes.(selected by random sampling) 3> I then use the data of only the significant genes from this samr analysis to train nnet. 4>

Dear R people, I am using tune.nnet from e1071 package to tune the parameters for nnet. I am using the following syntax: tuneclass <-c(rep(1,46),rep(2,15)) tunennet <-tune.nnet(x=traindata,y=tuneclass,size=c(50,75,100),decay=c(0,0.005,0.010),MaxNWts = 20000) Here traindata is the training data that I want to tune for nnet which is a matrix with 61 rows(samples) and 200