similar to: Passing formula as an agrument

Hi, I have a very naive question. I've written a pass that gets an argument from the command line with the following code: static cl::opt<int> LineNum("line-number", cl::Hidden, cl::Required,cl::desc("line of variable being observed")); Now when I run it, it seems like it cant see that I've put in an argument on the command line: opt -load

Dear list I am calling the functiton bugs() provided by R2WinBugs to performs an IRT analysis. The function returns a set of estimated parameters over n replications/iterations. For each replication, two sets of person measures (theta1 and theta2) and two sets of item difficulty parameters (diff1 and diff2) are returned. The code used to obtain these estimates is as follows: sim <-

Hi, I had a function that looked like: diff <- lm(x ~ y + z) How can I pass the argument to the 'lm' function on the fly? E.g., if I pass it in as a string (e.g. "x ~ y + z"), then the lm function treats it as a string and not a proper argument. many thanks [[alternative HTML version deleted]]

Hi, I was trying to get hyperlinks using xtable, but couldn't get the hyperlinks to function properly. For example, if I use ## Try to link NY times website to every figure in column 4 mat <- matrix(1:43,6,5) mat[,5] <- "http://nytimes.com" for(i in 1:nrow(mat)){ strr <- paste('<a href="', mat[i,5],'">', mat[i,4], '</a>',

Hello, Does anybody know if the outscale option of randomForest yields the standarized version of the outlier measure for each case? or the results are only the raw values. Also I have notice that this measure presents very high variability. I mean if I repeat the experiment I am getting very different values for this measure and it is hard to flag the outliers. This does not happen with two other

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hello, I want to use randomForest to classify a matrix which is 331030?42,the last column is class signal.I use ? Memebers.rf<-randomForest(class~.,data=Memebers,proximity=TRUE,mtry=6,ntree=200) which told me" the error is matrix(0,n,n) set too elements" then I use: Memebers.rf<-randomForest(class~.,data=Memebers,importance=TRUE,proximity=TRUE) which told me"the error is

Hi, I was reading an article recently about how google ranks results (among many other things of course) based on the proximity of the search terms in the source documents. In addition, the position of the search terms in the search query string itself is also taken into consideration when determining how important each term is. Does Xapian do something similar - at least for the first part?

Does anyone know where I might be able to download/purchase a database of US cities and their longitude/latitude coordinates? I''d like to provide a search option on a website that allows users to search by city but include cities in the surrounding area. Thanks, Carl Youngblood _______________________________________________ Rails mailing list

hi, i did some tests about performance in jspeex ... uls@mainframe:~/eclipse/avrelay$ java TestClient Diff1: 0 10 Diff2: 141 started. uls@mainframe:~/eclipse/avrelay$ <p>{ SpeexEncoder e1=new SpeexEncoder(); e1.init(0,1,44100,1); byte[] by1=new byte[320]; long l1=System.currentTimeMillis(); long l2=System.currentTimeMillis(); System.out.println("Diff1:

Hello, I am struggling to produce an MDS plot using the randomForest package with a moderately large data set. My data set has one categorical response variables, 7 predictor variables and just under 19000 observations. That means my proximity matrix is approximately 133000 by 133000 which is quite large. To train a random forest on this large a dataset I have to use my institutions high

Hi all, I have been struggling with this problem for a few days. I have a data table like this: gene rpkm1 diff1 rpkm2 diff2 gene1 23 50 13 120 gene2 111 220 827 1200 gene3 75 998 71 910 And I want to re-format it so that, for each gene, I have a 2x2 contingency table, such as: gene rpkm diff gene1 23 50 gene1 13 120 gene2 111 220 gene2 827

Hi all, Can some one tell me the difference between the following two formulas? 1. epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) 2.epiG.rf <-randomForest(gamma~.,data=data, na.action = na.fail,ntree = 300,xtest = NULL, ytest = NULL,replace = T, proximity =F) [[alternative HTML version deleted]]

On Fri, 1 Sep 2006, Michael McCracken wrote: > Here's what works now, and I have a separate test case for each of these: > > statement functions > intrinsic functions (print, cos, etc) > loops, goto statments > scalarized array operations > function calls with *no arguments* > simple common blocks Great! > Function calls with more than one argument don't work.

Hi, I was trying to get a graph in lattice with the following data frame (7 rows, 5 cols): chr start1 end1 meth positive 1 1 10 20 1.5 y 2 2 12 18 -0.7 n 3 3 22 34 2.0 y 4 1 35 70 3.0 y 5 1 120 140 -1.3 n 6 1 180 190 0.2 y 7 2 220 300 0.4 y I wanted the panels to be organized by 'chr' -

Greetings R Users! I am posting to inquire about the proximity matrix in the randomForest R-package. I am having difficulty pushing very large data through the algorithm and it appears to hang on the building of the prox matrix. I have read on Dr. Breiman's website that in the original code a choice can be made between using an N x N matrix OR to increase the ability to compute large

<posted & mailed> Dear all, I'm trying to solve the problem, of how to find clusters of values in a vector that are closer than a given value. Illustrated this might look as follows: vector <- c(0,0.45,1,2,3,3.25,3.33,3.75,4.1,5,6,6.45,7,7.1,8) When using '0.5' as the proximity requirement, the following groups would result: 0,0.45 3,3.25,3.33,3.75,4.1 6,6.45 7,7.1

> -----Original Message----- > From: William Dunlap > Sent: Tuesday, November 25, 2008 9:16 AM > To: 'johannes_graumann at web.de' > Subject: Re: [R] Efficient passing through big data.frame and > modifying select fields > > > Johannes Graumann johannes_graumann at web.de > > Tue Nov 25 15:16:01 CET 2008 > > > > Hi all, > > > >

Are there any options to forming queries with Omega? For instance can you specify a proximity search like "file near 5 manager"? If so, where might I find this documented? I don't see it in the docs directory. Thanks Jim.

Hello, fencing enthusiasts! *TL;DR:* We'd like to propose an addition to the LLVM memory model requiring non-temporal accesses be surrounded by non-temporal load barriers and non-temporal store barriers, and we'd like to add such orderings to the fence IR opcode. We are open to different approaches, hence this email instead of a patch. *Who's "we"?* Philip Reames brought