On Aug 19, 2009, at 6:02 AM, Michael Kogan wrote:

Unfortunately the matrix(list(),x,y) way seems to have some limitations. I want to continue working with the matrices which are saved in the database matrix. But for example the following doesn't work:

tetrahedron=matrix(c(
0,1,1,1,
1,0,1,1,
1,1,0,1,
1,1,1,0
),nrow=4, byrow=TRUE) # an example matrix

database=matrix(list(),5,5) # create database matrix
database[[4,4]]=list(tetrahedron) # save example matrix in database matrix

## try to access the first row of the saved example matrix ##
database[[4,4]][1] # prints the whole example matrix

I was surprised that this worked. I would have expected that you would have used: database[4,4][[1]] since database is a matrix and generally one accesses matrix elements with "[<n>,<m>]" addressing, while the element is a list and would need "[[<n>]]" addressing.

database[[4,4]][1][1,] # should have printed the first row of the example matrix, but gives:

So I tried:

database[4,4][[1]][1,]
# [1] 0 1 1 1 ....Success



Error in database[[4, 4]][1][1,] : incorrect number of dimensions
Execution halted

The same happens with database[[4,4]][1,]... Is there any way to access the saved matrices like "normal" ones?

Thanks,
Michael

jim holtman schrieb:
Is this what you want:


x <- matrix(list(),3,3)  # create a matrix of lists
# create matrices for testing
for(i in 1:3){

+     for (j in 1:3){
+         x[[i,j]] <- matrix(runif((i+1) * (j+1)), i+1)
+     }
+ }

x

    [,1]      [,2]       [,3]
[1,] Numeric,4 Numeric,6  Numeric,8
[2,] Numeric,6 Numeric,9  Numeric,12
[3,] Numeric,8 Numeric,12 Numeric,16

x[[2,2]]  # extract one of them

          [,1]      [,2]      [,3]
[1,] 0.26722067 0.3823880 0.4820801
[2,] 0.38611409 0.8696908 0.5995658
[3,] 0.01339033 0.3403490 0.4935413

str(x)  # structure of the data

List of 9
$ : num [1:2, 1:2] 0.266 0.372 0.573 0.908
$ : num [1:3, 1:2] 0.38 0.777 0.935 0.212 0.652 ...
$ : num [1:4, 1:2] 0.7894 0.0233 0.4772 0.7323 0.6927 ...
$ : num [1:2, 1:3] 0.202 0.898 0.945 0.661 0.629 ...
$ : num [1:3, 1:3] 0.2672 0.3861 0.0134 0.3824 0.8697 ...
$ : num [1:4, 1:3] 0.2448 0.0707 0.0995 0.3163 0.5186 ...
$ : num [1:2, 1:4] 0.206 0.177 0.687 0.384 0.77 ...
$ : num [1:3, 1:4] 0.186 0.827 0.668 0.794 0.108 ...
$ : num [1:4, 1:4] 0.258 0.4785 0.7663 0.0842 0.8753 ...
- attr(*, "dim")= int [1:2] 3 3


On Tue, Aug 18, 2009 at 4:48 AM, Michael Kogan<michael.ko...@gmx.net> wrote:

Hi,

I'm new to programming, new to R and even new to mailing lists so please be patient with me. I need to manage many matrices generated by an R program. These matrices have different dimensions and I'd like to group them somehow. The best way would be to have a big matrix (let's call it database) where every element database[x,y] consists of a list of matrices that all have the dimensions ncol(matrix1)=x and nrow(matrix1)=y. So those matrices have to be embedded into lists and the lists have to be embedded in the big database
matrix. If I simply try

 database=matrix(0,10,10)
 database[4,4]=c(matrix1,matrix2)

I get

 Error in database[4, 4] = c(matrix1, matrix2) :
number of items to replace is not a multiple of replacement length
 Execution halted

which makes sense of course... Is there any possibility to make this work?
Or maybe there is a better way to organize those matrices?

Regards,
Michael

David Winsemius, MD
Heritage Laboratories
West Hartford, CT

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to