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Oh, no. I should have been more clear. The patch was not rejected, just lost in the daily shuffle. I already have my employer's approval to send this upstream, so I will prepare a patch against trunk this morning. > I proposed a similar patch to LLVM (left circular shift) around 10/2011. > > Parts of my patch did make it into trunk about a year after, but others > > did not.

...: cat INPUT | R --vanila --slave --sandbox --file SCRIPT.R > OUTPUT Where 'INPUT' is my chosen input and 'SCRIPT.R' is the script submitted by the user. If the script tries to create a conncetion or run a disabled function, an error is printed. This is the patch: http://cancan.cshl.edu/labmembers/gordon/files/R_2.11.0_sandbox.patch So my questions are: 1. Would you be willing to consider this feature for inclusion ? 2. Are there any other 'dangerous' functions I need to intercept ( ".Internal" perhaps ?) All comments and suggestions are welcomed, thanks,...

On Monday, July 30, 2012 12:16 AM, Cameron McInally wrote: > Hey Andy, > > I proposed a similar patch to LLVM (left circular shift) around 10/2011. > Parts of my patch did make it into trunk about a year after, but others > did not. > > At that time, my solution was to add a binary operator to the IRBuilder, > since LCS fits in nicely with the other shift operators. But,

...yOperator) // Shift right (logical) -HANDLE_BINARY_INST(22, AShr , BinaryOperator) // Shift right (arithmetic) -HANDLE_BINARY_INST(23, And , BinaryOperator) -HANDLE_BINARY_INST(24, Or , BinaryOperator) -HANDLE_BINARY_INST(25, Xor , BinaryOperator) - LAST_BINARY_INST(25) +HANDLE_BINARY_INST(22, CShl , BinaryOperator) // Circular shift left (logical) +HANDLE_BINARY_INST(23, AShr , BinaryOperator) // Shift right (arithmetic) +HANDLE_BINARY_INST(24, And , BinaryOperator) +HANDLE_BINARY_INST(25, Or , BinaryOperator) +HANDLE_BINARY_INST(26, Xor , BinaryOperator) + LAST_BINARY_INST(26) // M...

...akes this work implies that there may be some kind of problem resolving the group membership, but only for Windows clients. This doesn't really make a lot of sense to me, so it's just wild speculation on my part about where the problem actually is. Any ideas? Jeff Goldschrafe <goldschr@cshl.edu> Systems Engineer Cold Spring Harbor Laboratory 1 Bungtown Road Cold Spring Harbor, NY 11724 http://www.cshl.edu

Hi All, In package e1071 for SVM based classification, one can get a probability measure for each prediction. I like to know what is method that is used for calculating this probability. Is it calculated using logistic link function? Thanks for your help. Regards, Raj

I want to take the first row of each unique ID value from a data frame. For instance > ddTable <- data.frame(Id=c(1,1,2,2),name=c("Paul","Joe","Bob","Larry")) I want a dataset that is Id Name 1 Paul 2 Bob > unique(ddTable) Will give me all 4 rows, and > unique(ddTable$Id) Will give me c(1,2), but not accompanied by the name column.

Hello, I want to do feature selection for classification purpose (using lda). Can someone point me to any R package or S-plus package for this? Something like SFS or SFFS method would be useful for me. Thanks. Raj [[alternative HTML version deleted]]

Hi, If I try to read the codes of functions in e1071 package, it gives me following error message. >library(e1071) > svm function (x, ...) UseMethod("svm") <environment: namespace:e1071> > predict.svm Error: Object "predict.svm" not found > Can someone help me on this how to read the codes of the functions in the e1071 package? Thanks. Raj

Hi, I am running a program in --vanilla mode. I would like to know how to load saved functions in the program that it calls. EVerytime I call those objects it returns error and complains that it cannot find the function object I am calling. Please let me know. Thanks in advance. Regards, Raj

Hi, I am using SVM from e1071 package. I can get decision values very easily. But whenever, I try to get the probability measure, it returns NULL. I use the following codes to generate decision.values and probability. Is there anything wrong in it? predictor<-svm(train[,c(x1, x2, x3)], train[,x4], probability=TRUE) pred<-predict(predictor, test[,c(x1, x2, x3)], probability=TRUE,

Dear Colleagues, I would like to do classification using logistic regression. Which R package can I use? Also is there any package for feature selection for logistic regression based method? Thanks a lot in advance. Happy holidays. Regards, Raj [[alternative HTML version deleted]]

Dear Colleagues, I am doing two class classification using logistic regression. I realized that I can either use "glm" function or "multinom" function. I know "multinom" is used for multiclass classification. But if I was it for binary classification, I was wondering if there is an difference in the results compared to "glm" results. Thanks in advance.

Hi All, Sorry for this is a very naive question. I am trying to do binary classification (male vs female) using glm using following data: X1 X2 X3 Class 2.3 4.5 2.1 Male 0.9 3.2 1.6 Male 1.7 1.8 2.6 Feamle I am trying to use predict.glm for prediction with type="respose" which gives the predicted probabilities as per documentation. My

I am trying to produce a heatmap of pairwise correlations, but since the matrix is symmetric, I only need either the upper or the lower triangle. I have scoured the web and R documentation, but I have not been able to find a way to produce such a figure. Is there a simple way to produce a heat map with only the part above or below the diagonal? Thank You, Jeffrey Rosenfeld Cold Spring Harbor

Hi All, I have an error code 23 (shown below) which I can't debug: I am using: $ rsync --version rsync version 2.6.2 protocol version 28 Here's the command I execute: rsync -av --delete /Users/mydir /Volumes/FireLite\ 60\ GB/backup/ After the transfer which apparently transfers the files correctly, I get the following error code: wrote 2630815 bytes read 200 bytes 78537.76

Hi all - I've searched long and hard for some docs on configuring a web proxy for rsync. This is probably in part an apache config question so I apologize if this is in the wrong forum. What I would like to do is provide anonymous rsync access to a handful of IPs via a web proxy so I don't have to punch additional holes in my firewall. In other words, I'd like to use rsync over