similar to: abind

Hi, I just try to draw multiple plots in one page using R, I used par command. For example I have 7 plots, but instead of arranging them in the default way plot1 plot2 plot3 plot4 plot5 plot6 plot7 I want them in this order plot1 plot2 plot3 plot4 plot5 plot6 plot7 Could somebody tell me how to do this, please? Thanks so many. Suyan

Hi, everyone: I forget on how to save a result from R as a word document. For example, if I run the linear regression and want to save the result: summary(lm(y~x) in a word file. So I can show it later to my clients. Any idea on how to do this? Thanks a lot, Suyan

Hi Everyone: I need some help on combining two datasets into one. Since for those two datasets, there are different variables. Like In dataset 1, I have pt x1 x2 1 12 24 2 20 17 In dataset 2, I have pt x2 x3 3 19 33 4 20 16 The final dataset I want should look as pt x1 x2 x3 1 12 24 NA 2 20 17 NA 3 NA 19 33 4 NA 20 16 I used setdiff and rbind together and got what I

Hi, I just made a boxplot but I want to change the thickness of the line used for the median to look a little thinner. Could anyone please help me figuring out the R-code to do it? Thanks, I really appreciate it. Suyan

Hi, everyone: I am running logistic regression on a bunch of variables using apply command. But an error occurs, the whole process stops. I am wondering if anyone knows how to skip this error and to continue the regression for the rest of variable. What I did is that first confine a function to the logistic regression, then use apply(data, 2, reg.fun) Then I got an error which is [1]

Is there any implementation in R for finding the phase shift between two continuous signals. I would like to find the average phase shift for tow signals over two years. thanks Stephen -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted

I'm trying to massage some data from Matlab into R. The matlab file has a "struct array" which when imported into R using the R.matlab package, becomes an R list with 3+ dimensions, the first of which corresponds to the structure fields, with corresponding row names, and the second and third+ dimensions correspond to the dimensions of the original struct array (as matlab

(resent as hotmail really cannot format plaintext, but I've just read Tony Plate's message that what I'd like to do might not be possible) > > library(abind) ## array binding I've looked into using abind() but it seems I might not understand it properly. I can build my 2 table array and insert a row into each table using: x <- array(0,c(1,3,2)) x[,,1]

There is a new version of the abind package on CRAN (abind_1.1-0). abind() is a multi-dimensional generalization of cbind() and rbind() -- it can bind multiple 2-d matrices into a 3-d array, or bind 3-d arrays together, etc. In this new version the behavior of the function abind() has been enhanced slightly (it can now accept a list as the first argument, removing the need to use do.call()

There is a new version of the abind package on CRAN (abind_1.1-0). abind() is a multi-dimensional generalization of cbind() and rbind() -- it can bind multiple 2-d matrices into a 3-d array, or bind 3-d arrays together, etc. In this new version the behavior of the function abind() has been enhanced slightly (it can now accept a list as the first argument, removing the need to use do.call()

Dear R-users, we are using library(snow) for computation on a linux cluster with RMPI. We have a problem with clusterEvalQ: after launching clusterEvalQ it seems loading the required library on each node but if we type a function belonging to the loaded package R doesn't find it. > library(snow) # making cluster with 3 nodes > cl <- makeCluster(3, type = "MPI") Loading

Hi everybody, I have trouble in installing packages from source code by following Section 5.1 in manual R-admin.pdf . I am using R 2.1.0 and Win NT. Following the Windows toolset section in the manual, I download the tool set package from: http://www.murdoch-sutherland.com/Rtools/tools.zip and unzip under C:\tools I also downloaded Perl (Windows Port) and installed it.

Hi, I'm new to R. Apologies if this is a simple query, I've searched the mailing lists and docs but can't find a solution to my problem. I'm trying to make some packages available on our intranet. During development the 'intranet' is a webserver running on localhost. * When I call "install.packages" I get a mesage about not being able to access 'index

Hi everyone I've been playing with do.call() but I'm having problems understanding it. I have a list of "n" elements, each one of which is "d" dimensional [actually an n-by-n-by ... by-n array]. Neither n nor d is known in advance. I want to bind the elements together in a higher-dimensional array. Toy example follows with d=n=3. f <-

Dear list, Is there a generalised form of rbind/cbind for combining matrices/arrays into higher-D structures? ie. if I have: a <- matrix(2,2,2) b <- matrix(3,2,2) how can I get array(rep(c(3,2), each=4), c(2,2,2)) ? It seems like this would be the job of a generalised abind function: abind(a,b, along=1) == rbind(a,b) abind(a,b, along=2) == cbind(a,b) abind(a,b, along=3)

### I got bit again by the same bugs I wrote about a year ago. ### The bugs are related to matrices and arrays of lists. ### 1. There is a clear inconsistency in how R handles two ### functionally equivalent statements. ### array() is able to take a list and create a matrix. ### matrix() is unable to create that matrix. > vector("list", 2) [[1]] NULL [[2]] NULL >

I'm attempting to generalise a function that reads individual list components, in this case they are matrices, and converts them into 3 dimensional array. I can input each matrix individually, but want to do it for about 1,000 of them ... This works array2 <- abind(list1[[1]],list1[[2]],list1[[3]],along=3) This doesn't array2 <- abind(list1[[1:3]],along=3) This doesn't either

Dear R Help Community, I have a question and an answer (based on reading this forum and online research), but I though I should share both since probably there's a much better way to go about my solution. My question is specifically about how to best visualise multiple response contingency tables. What I mean by 'multiple response' is that the total number of responses per row of a

Must packages in the Depends field of the DESCRIPTION file have NAMESPACES? I haven't seen this explicitly indicated anywhere. I am writing a small package and find that when I add the abind package to the list of the Depends field, I get an error in R CMD check of the build. * checking package name space information ... OK * checking package dependencies ... ERROR Packages required but not

If I have 2 n-dimensional arrays, how do I compose them into a n+1-dimension array? Is there a standard R function that's something like the following, but that gives clean errors, handles all the edge cases, etc. abind <- function(a,b) structure( c(a,b), dim = c(dim(a), 2) ) m1 <- array(1:6,c(2,3)) m2 <- m1 + 10 abind(m1,m2) ==> , , 1 [,1] [,2] [,3] [1,] 1 3 5