[R] frequency table-visualization for complex categorical variables

[Rui Barradas]

Hello,

I'm not sure I understand, do you want to treat BCC, CBC and CCB as the 
same? If so try

w2 <- apply( y , 1 , function(x) paste0(sort(x) , collapse = "" ))
table(w2)


Hope this helps,

Rui Barradas

Em 26-02-2013 13:58, Niklas Fischer escreveu:
> Hi again,
>
>
>
> Thanks for Anthony about the links on reproducible codes.
>
>
>
> Thanks for Rui about ordering when rows are intact.
>
>
>
> One more question
>
>
>
>
>
> Here is your code.
>
>
>
> x <-
>      cbind(
>          sample( LETTERS[1:6] , 100 , replace = TRUE ) ,
>          sample( LETTERS[1:6] , 100 , replace = TRUE ) ,
>          sample( LETTERS[1:6] , 100 , replace = TRUE )
>      )
>
> y <- as.matrix( x )
>
> w2 <- apply( y , 1 , paste0 , collapse = "" )
> table(w2)
>
>
>
>
>
>
>
> Do you know any trick to organize merge certain elements together?
>
> For example, if the final table includes
>
> BCC, CCB, CBC how should I sum frequency of one element like BCC? I have a
> very long table it would be indeed very useful!
>
>
>
>
>
> Niklas.
>
> 2013/2/25 Rui Barradas <ruipbarradas at sapo.pt>
>
>> Hello,
>>
>> I disagree with the way you've sorted the matrix, like this all A's become
>> first, then B's, etc, irrespective of the respondents. Each row is a
>> respondent, and the rows should be kept intact, but with a different
>> ordering. To this effect, use order():
>>
>> z <- y[order(y[,1], y[,2], y[,3]), ]
>>
>>
>> Then use the rest of your code.
>>
>> Or, which would save us the sorting, paste the rows elements together
>> directly from matrix 'y' and use the fact that table() sorts its output.
>>
>> w2 <- apply( y , 1 , paste0 , collapse = "" )
>> table(w2)
>>
>>
>> Hope this helps,
>>
>> Rui Barradas
>>
>> Em 25-02-2013 18:32, Anthony Damico escreveu:
>>
>>   in the future, please provide R code to re-create some example data :)
>>> read
>>> http://stackoverflow.com/**questions/5963269/how-to-make-**
>>> a-great-r-reproducible-**examplefor<http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-examplefor>
>>> more detail..
>>>
>>>
>>>
>>> # create a data table with three unique columns' values..
>>> # treat these values just like letters
>>> x <-
>>>       cbind(
>>>           sample( LETTERS[1:6] , 100 , replace = TRUE ) ,
>>>           sample( LETTERS[1:6] , 100 , replace = TRUE ) ,
>>>           sample( LETTERS[1:6] , 100 , replace = TRUE )
>>>       )
>>>
>>> # look at x.. this is good data i hope?
>>> x
>>>
>>> # convert this to a matrix
>>> y <- as.matrix( x )
>>>
>>> # i don't think you care about ordering, so sort left-to-rightwards
>>> z <- apply( y , 2 , sort )
>>>
>>> # look at your results
>>> z
>>>
>>> # paste these results together across the matrix
>>> w <- apply( z , 1 , paste0 , collapse = "" )
>>>
>>> # count the final distinct results
>>> table( w )
>>>
>>>
>>>
>>>
>>> On Mon, Feb 25, 2013 at 1:04 PM, Niklas Fischer
>>> <niklasfischer980 at gmail.com>**wrote:
>>>
>>>   Dear R users,
>>>>
>>>> I have three questions measuring close relationships.
>>>> The questions are same and the respondents put the answer in order.
>>>>
>>>> I'd like to examine the pattern of answers and visualize it.
>>>>
>>>> For example q1 (A,B,C,D,E) and q2 and q3 are the same. If the respondents
>>>> selects A B C (so BCA or BAC or CBA or CAB), I'd like to construct
>>>> frequency table for ABC and other combinations for example DEF.
>>>>
>>>>
>>>> Unfortunately, there are many answers, and three-way contingency table
>>>> includes lots of cells which make it diffucult to interpret and requires
>>>> lots of extra work to organize data.
>>>>
>>>> What is the best way to construct fruequency table of these kind of
>>>> variables and to visulize the results with the most simple form
>>>>
>>>>
>>>> All the bests,
>>>> Niklas
>>>>
>>>>           [[alternative HTML version deleted]]
>>>>
>>>> ______________________________**________________
>>>> R-help at r-project.org mailing list
>>>> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help>
>>>> PLEASE do read the posting guide
>>>> http://www.R-project.org/**posting-guide.html<http://www.R-project.org/posting-guide.html>
>>>> and provide commented, minimal, self-contained, reproducible code.
>>>>
>>>>
>>>          [[alternative HTML version deleted]]
>>>
>>> ______________________________**________________
>>> R-help at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help>
>>> PLEASE do read the posting guide http://www.R-project.org/**
>>> posting-guide.html <http://www.R-project.org/posting-guide.html>
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>>
>