similar to: rbind() on zero row matrices is inconsistent

R-Version: 1.7.1 (2003-06-16) OS: Debian/GNU Linux cbind and rbind handle NULL parameters inconsistently. Consider: > cbind() NULL > cbind(NULL) NULL And: > cbind(diag(x = 1, 1, 1)) [,1] [1,] 1 > cbind(NULL, diag(x = 1, 1, 1)) [,1] [1,] 1 These seem to indicate that NULL parameters will be ignored in any call to cbind and rbind. However: >

Good morning, I'm running into trouble rbind-ing numeric matrices with differing numbers of rows. In particular, there seem to be issues whenever a one-row numeric matrix is involved. Assume A is a numeric matrix with 1 row and Y columns and B is a numeric matrix with X rows and Y columns. Let C be the result of rbinding A and B. Then C is a numeric matrix with X + 1 rows and Y columns, only

Dear R experts, I am having difficulty using loops productively and would like to please ask for advice. I have a dataframe of ids and groups. I would like to break down the dataframe into groups, find the unique sets of ids, then reassemble. My thought was to use a loop, but I have been unable to finish this loop in a logical way. I would like to find the unique ids for group 1, group 2,

I have a large list of matrices and a vector that identifies the desired matrices that I would like to rbind. However, I am stuck on how to get this to work. I have written some code below to illustrate my problem: # 3 simple matrices a<-matrix(1:9,3,3) b<-matrix(10:18,3,3) c<-matrix(19:27,3,3) #this is the type of list of matrices I am dealing with

The R help for cbind/rbind states: > For `cbind' (`rbind'), vectors of zero length are ignored unless > the result would have zero rows (columns), for S compatibility. > (Zero-extent matrices do not occur in S and are not ignored in R.) I presume this means the S language as defined in the Blue Book ("The ^New S Language", Becker Chambers & Wilks,

Sorry for the verbose example. I want to row bind two matrices, and all works except I want the column labelled "row" to be sequential in the new matrix, shown as "mat3" here, i.e. needs to be 1:6 and not 1:3 repeated twice. Any suggestions? Thanks J > colnm1 <- c("row","ti","counti") > colnm2 <-

The rbind on empty and nonempty data frames behaves inconsistently. I am not sure if by design. In the first example, first row is deleted, which may or may not be on purpose: df1 <- data.frame() df2 <- data.frame(foo=c(1, 2), bar=c("a", "b")) rbind(df1, df2) foo bar 2 2 b Now if we continue: df1 <- data.frame(matrix(0, 0, 2)) names(df1) <- names(df2)

Dear R Users and maintainers of packages zoo and timeSeries, I believe there is a recently introduced inconsistency between timeSeries and zoo which is causing a problem with rbind. I had previously reported that I was having problems with rbind in the following code: library(zoo) foo<-zoo(1,order.by=as.Date("2007-10-09")) bar<-zoo(2,order.by=as.Date("2007-10-10"))

Dear R users,I'm facing a trivial problem, but I really can't solve it. I've tried a dozen of codes, but I can't get the result I want. The question is: I have a dataframe like this one [,1] [,2] [,3] [,4] [,5] [1,] 1 2 3 4 5 [2,] 2 5 5 4 9 [3,] 1 6 8 1 2 [4,] 8 6 4 1 5 made up of decimal numbers, of course. I want to

"Not that it really matters, but" Can someone explain how the row numbers get assigned in the following sequence? It looks like something funky happens when rbind() coerces 'bar' into a dataframe. In either sequence of rbind below, once you get past the first two rows, the row numbers count normally. Rgames> (foo<-data.frame(x=5,y=4,r=3)) x y r 1 5 4 3 Rgames>

I have a dataframe with many rows like this: > df X1 X2 X3 X4 X5 X6 X7 week d sim1 FALSE TRUE TRUE TRUE TRUE TRUE TRUE 1 0.3064985 sim1 is the rowname, X1..X7,week,d are the column names. X1..X7 are factors, booleans in this case. I need to add another row, represented by the following list: list(rep(T,7),5,0.0) -- i.e, TRUE in all boolean columns,

Dear All, I´m using the following code: all1<-gg2[[1]][[1]]; for(i in 1:48){ all1 <- rbind(all1,gg2[[i]][[1]]) } to create a new matrix that contains all the matrices in a list called gg2. gg2 is a list that looks like >> gg2 [[1]] [[1]][[1]] <matrix one> [[2]] [[2]][[1]] <matrix two> . . . [[48]] [[48]][[1]] <matrix 48> Is there a faster way to do the rbind?

Hi, The following was already a topic on r-help, but after understanding what is going on, I think it fits better in r-devel. The problem is this: When a data.frame has another data.frame in it, rbind doesn't work well. Here is an example: -- > a=data.frame(x=1:10,y=1:10) > b=data.frame(z=1:10) > b$a=a > b z a.x a.y 1 1 1 1 2 2 2 2 3 3 3 3 4 4 4 4 5

Hi Martin, Thanks for chiming in. Responses inline. On Fri, May 17, 2019 at 12:32 AM Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>> Gabriel Becker > >>>>> on Thu, 16 May 2019 15:47:57 -0700 writes: > > > Hi Hadley, > > Thanks for the counterpoint. Response below. > > > On Thu, May 16, 2019 at 1:59

As part of my work, I am trying to append matrices onto data frames. Naively I assumed that when rbinding a data.frame and matrix, the matrix would be coerced and appended, keeping the names from the data frame. Clearly, I am not fully understanding the process by which rbind works. Example code: > A<-data.frame(1,1,1); names(A)=letters[1:3] ; B<-matrix(0,2,3) > rbind(A,B)

Hi Herve, Inline. On Thu, May 16, 2019 at 4:45 PM Pages, Herve <hpages at fredhutch.org> wrote: > Hi Gabe, > > ncol(data.frame(aa=c("a", "b", "c"), AA=c("A", "B", "C"))) > # [1] 2 > > ncol(data.frame(aa="a", AA="A")) > # [1] 2 > > ncol(data.frame(aa=character(0),

Today's R 1.9.0 beta: > m1 [,1] [,2] [,3] [,4] [1,] NA NA NA NA [2,] NA NA NA NA [3,] NA NA NA NA [4,] NA NA NA NA > class(m1[1,1]) [1] "list" > cbind(m1,m1) Error in cbind(...) : cannot create a matrix from these types > rbind(m1,m1) Error in rbind(...) : cannot create a matrix from these types > version _

Hello list, I have 3 matrices with same dimension : > veca=matrix(1:25,5,5) > vecb=matrix(letters[1:25],5,5) > vecc=matrix(LETTERS[1:25],5,5) I would like to obtain a new matrix composed by alternating rows of these different matrices (row 1 of mat 1, row 1 of mat 2, row 1 of mat 3, row 2 of mat 1.....) I have found a solution to do it but it is not very pretty and I wonder if I

Hi, I have several matrix in a list, for example: e [[1]] [,1] [,2] [1,] 1 3 [2,] 2 4 [[2]] [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 [[3]] [,1] [,2] [1,] 2 1 I would like to join them by column i.e. [,1] [,2] [,3] [,4][,5] [,6] [1,] 1 3 1 4 2 1 [2,] 2 4 2 5 NA NA [3,] NA NA 3 6 NA NA I have tried

This was originally a bug report about Matrix, https://r-forge.r-project.org/tracker/?func=detail&atid=294&aid=6325&group_id=61 but the bug is rather a "design" bug in R, or a limitation. This e-mail is a report of the status quo as I see it, and call for comments, sugguests, help/hints for workarounds, or even a suggestion for a programming task helping R core to amend