[R] import contingency table

[Rui Barradas]

It works.
There goes my clever function.

Rui Barradas

Em 28-05-2012 16:31, David L Carlson escreveu:
> How about this?
>
> exdf<- read.table("clipboard", sep=",", header=T, row.names=1)
> extbl<- as.table(as.matrix(exdf))
>
> ----------------------------------------------
> David L Carlson
> Associate Professor of Anthropology
> Texas A&M University
> College Station, TX 77843-4352
>
>
>> -----Original Message-----
>> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
>> project.org] On Behalf Of Rui Barradas
>> Sent: Monday, May 28, 2012 9:43 AM
>> To: Milan Bouchet-Valat
>> Cc: r-help
>> Subject: Re: [R] import contingency table
>>
>> Ok, try the following.
>>
>>
>> df2table<- function(x, Var1="Var1", Var2="Var2"){
>>       tbl<- as.matrix(x)
>>       dnames<- list(rownames(x), colnames(x))
>>       names(dnames)<- c(Var1, Var2)
>>       attr(tbl, "dimnames")<- dnames
>>       attr(tbl, "class")<- "table"
>>       tbl
>> }
>>
>> df2table(xls_contingency)  # using default names
>>
>> Rui Barradas
>>
>>
>> Em 28-05-2012 15:00, Milan Bouchet-Valat escreveu:
>>> Le lundi 28 mai 2012 à 15:19 +0200, sylvain willart a écrit :
>>>> no,
>>>> the problem is that the lines in my file do not correspond to
>>>> individuals, but are variables, just like are the columns,
>>>> my file is already a contingency table, with each cell being a
>> frequency:
>>>> here is a sample of it:
>>>> *******************************************************
>>>>
>> ,AUC,Alin,BLG,BrDep,CRF,CMkt,CAS,Casto,Confo,ElDep,Geant,Halle,KIA,LMrl
>> ,Match,MET,MNP,SM,
>>>> Strasbg,4,0,0,2,3,0,0,6,2,1,2,1,0,2,3,2,3,6
>>>> Paris,0,0,0,0,10,1,5,2,4,0,5,1,0,0,0,3,7,7
>>>> Brest,3,0,0,2,8,0,5,9,4,0,5,0,2,0,0,0,0,0
>>>> Lyon,0,0,0,1,4,2,8,2,3,0,5,1,0,0,0,0,4,5
>>>> Nice,3,0,0,0,3,2,5,1,2,0,2,0,0,0,0,2,2,0
>>>> Limg,3,0,0,1,4,2,3,0,0,0,3,0,0,0,0,1,0,4
>>>> Toulse,0,0,0,1,5,4,3,2,2,0,5,0,0,0,0,2,1,5
>>>> Nancy,0,0,0,2,3,1,1,8,2,0,2,0,1,0,2,3,2,4
>>>> Lille,0,0,0,0,6,8,0,0,2,2,3,1,0,1,5,1,2,6
>>>> Mtplier,0,0,0,0,7,3,4,1,0,1,4,0,0,0,0,1,6,3
>>>> Aix,0,4,0,0,9,2,5,1,0,0,5,0,0,0,0,1,7,5
>>>> Senart,0,0,0,1,10,3,5,0,5,0,6,0,0,0,0,0,3,3
>>>> Grenbl,0,0,0,0,3,2,5,3,1,0,5,0,0,0,0,0,0,4
>>>> Angers,0,0,0,2,8,0,4,0,4,0,4,0,2,0,0,0,3,3
>>>> Brdx,3,0,0,2,4,3,3,0,1,0,5,0,2,0,0,1,3,4
>>>> Dijon,0,0,0,1,8,2,5,3,4,0,5,0,0,0,0,2,1,0
>>>> Rouen,3,0,0,1,2,0,2,0,3,1,2,1,2,0,0,0,0,6
>>>> **********************************************************
>>>>
>>>> I know how to read it into a df or a matrix,
>>>> if it was a df or matrix, i could turn it into a table,
>>>> but this is already a contingency table
>>> If it's already a matrix, just call as.table() on it, and you'll get
>> a
>>> table object.
>>>
>>>> for example, the first number "4", is the number of people being in
>>>> city "Strasbg" (first row) and working at "AUC" (first column) (this
>>>> is Auchan actually)
>>>>
>>>> I do not have the original file where each row would be an
>> individual,
>>>> I just have that flat file, with variables on the rows and variables
>>>> on the colums, and frequencies in each cell,
>>>> And I wonder how to read it in R telling him this is a
>>>> frequency/contingency table ....
>>>>
>>>> I can't believe there are no way of getting aroud it (or maybe the
>> sun
>>>> stroke to heavy on my head) ....
>>> Please call dput() on the data as you have imported it, so that we
>> can
>>> precisely discuss the problem.
>>>
>>>
>>> Regards
>>>
>>> ______________________________________________
>>> 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.