[R] Embedding lists in matrices and matrices in lists
Gabor Grothendieck
ggrothendieck at gmail.com
Wed Aug 19 14:11:30 CEST 2009
Try this:
> database[[4,4]] <- tetrahedron
> database[[4,4]][1,]
[1] 0 1 1 1
On Wed, Aug 19, 2009 at 6:02 AM, Michael Kogan<michael.kogan at gmx.net> 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
> database[[4,4]][1][1,] # should have printed the first row of the example
> matrix, but gives:
>
> 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.kogan at 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
>>>
>>> ______________________________________________
>>> R-help at 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.
>>>
>>>
>>
>>
>>
>>
>
> ______________________________________________
> R-help at 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.
>
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