similar to: identical matrices

Dear R users, i want to put the results of a list to a for loop. i will give an example m1<-matrix(rep(1,15),ncol=5)   ind.sgn <- lapply(1:ncol(m1), combn, x = ncol(m1))  ind.sgn [[1]]      [,1] [,2] [,3] [,4] [,5] [1,]    1    2    3    4    5 [[2]]      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,]    1    1    1    1    2    2    2    3    3     4 [2,]    2    3    4    5   

Hi, This has been asked before but not sufficiently answered from what I could find. How do you create combinations with repetitions (multisets) in R? If I have > set <- array(1:3) And I want to choose all combinations of picking 2 numbers, I want to get a print out like [,1] [,2] [1,] 1 1 [2,] 1 2 [3,] 1 3 [4,] 2 2 [5,] 2 3 [6,] 3 3 subsets(set,

Dear R users, I have the "any" function of R  any(ind.c, ind.r, ind.sgn) all are logical factors  it works fine when any of three is true but when they are combined it doesnt work. i tried this any(ind.c, ind.r, ind.sgn,((ind.c==TRUE) & (ind.r==TRUE)), ((ind.c==TRUE) & (ind.sgn==TRUE)),((ind.r==TRUE) & (ind.sgn==TRUE)),  ((ind.c==TRUE) & (ind.r==TRUE) &

Dear R users, i have this problem with matrices i want to check between two matrices if they are isomorphic i will give an example for what excactly i want   1 -1  1                                 -1  1   1 -1   1  -1                                1  -1  -1   1  1   -1                                1   1  -1 this two matrices are isomorphic beacause if i change the first 2 columns the matrices

Dear R users, I want a help to write an algorithm for swapping rows and columns in a matrix thanks in advance [[alternative HTML version deleted]]

Dear R users, I have an array that has matrices that i want BB[16,5,2:27] i want to put each of the 26 matrices into a List  thanks in advance [[alternative HTML version deleted]]

While building a package, I see the following: * checking R code for possible problems ... NOTE cheat.fit: no visible binding for global variable 'Zobs' plot.jml: no visible binding for global variable 'Var1' I see the issue has come up before, but I'm having a hard time discerning how solutions applied elsewhere would apply here. The entire code for both functions is below,

It seems people are reinventing the wheel here: The goal is to generate all combinations of 1:n of size k. This (typically) results in a matrix of size k * choose(n,k) i.e. needs O(n ^ k) space, hence is only applicable to relatively small k. Then alternatives have been devised to generate the combinations "one by one", and I think I remember there has been a quiz/challenge about 20

Hi again, I've got few very good options from the list and since they were not posted to the list, I will provide a summary. Thank you very much to all who answered and I hope this summary will benefit others interested in solving similar problems like that. Yasir Kaheil re-wrote my original code in a more streamlined way: pr<-array(0,c(dim(x)[2],dim(x)[2])); for (i in 1:dim(x)[2]) for

All, I am looking at an example in Aliaga's Interactive Statistics. Bag A has the following vouchers. BagA <- c(-1000,10,10,10,10,10,10, 10,20,20,20,20,20,20,30, 30,40,40,50,60) Bag B has the following vouchers. BagB <- c(10,20,30,30,40,40,50,50, 50,50,50,50,60,60,60,60, 60,60,60,1000) Two values are selected (from BagA or BagB) without

Dear R users, I have this program aa<-array(rep(0,27),dim=c(3,3,3)) a<-matrix(rep(1,9),ncol=3) n<-0 for (i in 1:3) {            a[i,]<-a[i,]*(-1)       n<-n+1       aa[,,n]<-a[i,] } but i real want to multiply each row  with -1 according to for loop and after that to put it in the array.  I will give an example for what excaclty want -1 -1 -1  1  1  1  1  1  1 -1 -1 -1 -1

Hi, I am tring to write a loop to compute this, ========================== x1=c( rep(-1,4), rep(1,4) ) x2=c( rep(c(-1,-1,1,1),2) ) x3=c( rep(c(-1,1),4) ) x1*x2 x1*x3 x2*x3 ======================== suppose i have x1,x2,x3 i want to compute their ' two factor interactions', x1x2,x1x3 and x2x3, I wrote ======================== for(i in 1:2){ for( j in i+1:3){ xij=c()

Hi I want to do something which seems straightforward, but I couldn't find the way to do this. I have a matrix called m for example, and a vector of values (let's call ind this vector) which are indices of lines I don't want to keep. for example I have: > m v1 v2 v3 [1,] 1 4 7 [2,] 2 5 8 [3,] 3 6 9 [4,] 10 11 12 > ind [1] 2 4 I would like to obtain this: > m2 v1 v2

Hola a todos, Quería preguntar si alguno sabe como puedo identificar registros con un mismo ID en el tiempo, pero que hacer referencia a objetos o individuos diferentes. En mi caso en particular estoy estudiando un animal que tiene una vida media cercana 2 años, y tengo una serie longitudinal de 25 años. El problema es que durante el muestreo en algunos casos durante la recoleccion de los datos,

My two matrices are roughly the sizes of m1 and m2. I tried using two apply and cor.test to compute the correlation p.values. More than an hour, and the codes are still running. Please help to make it more efficient. m1 <- matrix(rnorm(100000), ncol=100) m2 <- matrix(rnorm(10000000), ncol=100) cor.pvalues <- apply(m1, 1, function(x) { apply(m2, 1, function(y) { cor.test(x,y)$p.value

I have a list (length 750), each element containing a vector of unique strings (unique gene ids), with length up to ~40 (median 15). I want to compile a matrix of all possible triplets and their frequency within gene elements. Using combn and a lot of looping, I am accomplishing this but it is VERY slow. I've tried to figure out a way to vectorize this, using "match" and

Dear R users, I have this problem with memory i guess  AA<-array(rep(0,96096000),dim=c(16,5,3003,400)) Error: cannot allocate vector of size 733.2 Mb can anyone help me,  Thanks in advance... [[alternative HTML version deleted]]

Hello All, I have just installed my R 2.4 (windows) as a test trying to load a data frame and run combn() for each line into another file. How do I do this? data.csv: a,b,c,d 1,2,3.4 g,3,6,t etc x=data.csv, m=3 Thank you Zam _________________________________________________________________________________ This email contains confidential information intended only for the person named

I am trying to print out a list of strings of length 11 based on integers 0 through 10. The rules as given to me for the ordering are: The first digit must be 0. The 2nd digit must be 0 or 1. The 3rd digit must equal the 2nd digit or the 2nd digit +1. ... Given the final digit, n, all digits 0 through n must appear in a given sequence. So the final 1024 item list should look like 0 1 2 3 4 5

Hi, I have many files containing one column of data. I like to use the scan function to parse the data. Next I like to bind to a large vector. I try this like: count<-1 files <- list.files() # all files in the working directory for(i in files) { tmp <- scan(i) assign(files[count], tmp) count<-count+1 } This part works! Now I like to plot the data in a boxplot.