similar to: Randomizing one column in the dataMatrix

Hello, I have an existing legacy app written in .NET that will be rewritten with Rails. One of the key components of the App is to generate and read datamatrix barcodes from a PDF. I''ve looked online and message posts but haven''t see anything worthwhile for reading / generting datamatrix barcodes. Any recommendations for this? Todd -- You received this message because you are

I use matplot to get the density curve and then I use abline(v=g$V2, col = 3 ) to get the vertical line. Goal : I want very small lines at the bottom on the x axis , if possible in the arrow forms instead of vertical lines on the whole graph. Thanks a lot. [[alternative HTML version deleted]]

I have two matrix with same dimensions. I want to do t.test using each column from 2 different matrix. Column names in both matrix are same. e.g. Matrix1 id VC1 VC2 VC3 R 1 2 3 R1 4 5 6 R3 7 8 9 Matrix2 id VC1 VC2 VC3 R 10 11 12 R1 13 14 15 R3 16 17 18 want to do t.test for eg t.test(Matrix1$VC1, Matrix2$VC1)$p.value What is the best way to do it. I have dataset with

I have data matrix and I want to replace values. > try Rh.Rj RR.Rj RT.Rj V1 0.08465125 0.19159688 0.617294468 V2 0.74853203 0.88826790 0.113979660 V3 0.68767961 0.17979307 0.013802852 V4 0.31722379 0.25611821 -0.021954454 V5 0.17931687 0.04491838 0.011484522 V6 0.87455663 0.16846121 0.002241211 V7 0.61770029 0.01090132 0.000079900 > try[try > 0.05]<-0 >

Dear R-users,  I have a problem, I have the following dataframe:   d<-data.frame(  'y1'=c(1,2,1,2,1,NA,NA), 'y2'=c(1,2,1,1,1,2,1), 'y3'=c(1,NA,1,NA,NA,2,1), 'y4'=c(NA,2,NA,1,1,2,NA), 'a'=c(1,1,1,1,1,1,2) ) where the last variable counts the number of missing values in a row. Now, i want to set rows where a>1 to NA and arrive at something like the

By randomization of functions I mean the manner in whch they are called , so that has to do with address.I wish to randomize the order of calls made to functions when a program is run. Reid Spencer <reid at x10sys.com> wrote:Can you explain a little bit more about what you mean by "randomize" functions or global variables? What aspect of them do you want to randomize? Their

Hello, I have a dataset with 40 variables, some of them are always 0 (each row). I would like to make a subset containing only the columns which values are not all 0, but I don't know how to do it. I tried: for(cut_column in 1:40) { if(sum(dataset[,cut_column])!=0) { columns_useful<-c(columns_useful,dataset[cut_column]) } } sorted_dataset<-subset(dataset,

Can you explain a little bit more about what you mean by "randomize" functions or global variables? What aspect of them do you want to randomize? Their address? Their value? Something else? Reid. On Thu, 2005-06-02 at 13:53 -0700, Tanu Sharma wrote: > I would try that ..Thanks > > Another thing that I want to do is to randomize functions within a > program (or file ),

On Thu, Jun 02, 2005 at 02:12:22PM -0700, Tanu Sharma wrote: > By randomization of functions I mean the manner in whch they are > called , so that has to do with address.I wish to randomize the order > of calls made to functions when a program is run. How would you "randomize the order of calls made to functions when a program is run" without changing the semantics of the

Hi, I have huge matrices in which the response variable is in the first column and the regressors are in the other columns. What I wanted to do now is something like this: #this is just to get an example-matrix DataMatrix <- rep(1,1000); Disturbance <- rnorm(900); DataMatrix[101:1000] <- DataMatrix[101:1000]+Disturbance; DataMatrix <- matrix(DataMatrix,ncol=10,nrow=100); #estimate

Ms Brukman, Thanks for your reply.Just clarifying my question.I actually wanted to randomize the static layout of function code in the executable file.Sorry for writing in confusing manner. T Misha Brukman <brukman at cs.uiuc.edu> wrote: On Thu, Jun 02, 2005 at 02:12:22PM -0700, Tanu Sharma wrote: > By randomization of functions I mean the manner in whch they are > called , so

In datamatrix[, "y"] == datamatrix[, "y"][-1] : longer object length is not a multiple of shorter object length out = c(FALSE,datamatrix[,'y'] == datamatrix[,'y'][-1]) and I do not know why I get that error, the resulting out matrix is somehow one row larger than datamatrix... all I try to do is filter matrix by dropping rows where [,'y'][-1] ==

Hi. I have been looking at the PCAproj function in package pcaPP (R 2.4.1) for robust principal components, and I'm trying to interpret the results. I started with a data matrix of dimensions RxC (R is the number of rows / observations, C the number of columns / variables). PCAproj returns a list of class princomp, similar to the output of the function princomp. In a case where I can

I would try that ..Thanks Another thing that I want to do is to randomize functions within a program (or file ), whatever is easier to do in llvm .Also please tell me how can I randomize global variables ? Thanks TS Chris Lattner <sabre at nondot.org> wrote: On Mon, 30 May 2005, Tanu Sharma wrote: > I have been trying to compile the SPEC benchmark but have failed even > after

Hi, I need to permute the rows of a matrix, where each row is independently rearranged. A simple solution is this: shuffled <- datamatrix <- matrix(1:24, ncol = 4) for (i in 1:nrow(datamatrix)) { shuffled[i, ] <- sample(datamatrix[i, ]) } > datamatrix [,1] [,2] [,3] [,4] [1,] 1 7 13 19 [2,] 2 8 14 20 [3,] 3 9 15 21 [4,] 4 10 16 22 [5,]

Hello R users, I'm wondering whether it is possible to manage big data set in R? I have a data set with 3 million rows and 3 columns (X,Y,Z), where X is the group id. For each X, I need to run 2 regression on the submatrix. I used the function "split": datamatrix<-read.csv("datas.csv", header=F, sep=",") dim(datamatrix) # [1] 2980523 3

Tanu, You've seen ? :- http://www.st.cs.uni-sb.de/~lindig/src/quest/ Don't know whether it is applicable to what you are trying to achieve but I thought I should point it out in case it is useful to you and you have not seen it. Aaron ----- Original Message ----- From: Tanu Sharma To: LLVM Developers Mailing List Sent: Thursday, June 02, 2005 9:53 PM Subject:

Hi R-helpers, I have a dataframe (called data) with trees in rows (n=100) and insect species (n=10) in columns. My tree IDs are in a column called TREE and each species has a column labeled SPEC1, SPEC2, SPEC3, etc... I wish to randomize the values in my dataframe such that row and column totals are held constant, i.e. in my randomized data each tree will have the same number of individual

I have a vector whose length is nearly 70 thousand. I need randomize it for 1000 times . for randomizing , I mean ,the elements of the vector remain intact while their order in the vector get changed randomly. I have written a function which seems to be able to solve short vectors , but waste a lot of time when dealing with the the long vector mentioned above. -- View this message in context:

Hello, I have been trying to randomize the basic blocks of a program in memory and disk , keeping the control flow intact. Is there any easy way provided in llvm to achieve that? any other suggestions? Thanks Tanu __________________________________________________ Do You Yahoo!? Tired of spam? Yahoo! Mail has the best spam protection around http://mail.yahoo.com -------------- next part