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
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
<niklasfischer...@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@r-project.org mailing list
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> 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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