R help - Sep 2009 - Count number of different patterns (Polytomous variable)

Hi there,

Does anyone know a method to calculate the number of different patterns 
in a given data frame. The variables are of polytomous type and not 
binary (for the latter i found a package called "countpattern" which 
unfortunately only functions for binary variables).

V1   V2   V3
0   3   1
1   2   0
1   2   0

So, in this case, i would like to get "2" as output.

Thanks in advance
J?rgen

try this:

DF <- data.frame(V1 = c(0,1,1), V2 = c(3,2,2), V2 = c(1,0,0))
DF
nrow(unique(DF))


I hope it helps.

Best,
Dimitris


Biedermann, J?rgen wrote:
> Hi there,
> 
> Does anyone know a method to calculate the number of different patterns 
> in a given data frame. The variables are of polytomous type and not 
> binary (for the latter i found a package called "countpattern"
which
> unfortunately only functions for binary variables).
> 
> V1   V2   V3
> 0   3   1
> 1   2   0
> 1   2   0
> 
> So, in this case, i would like to get "2" as output.
> 
> Thanks in advance
> J?rgen
> 
> ______________________________________________
> 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.
> 
-- 
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014

try this:
> x
  V1 V2 V3
1  0  3  1
2  1  2  0
3  1  2  0
> unique(x)
  V1 V2 V3
1  0  3  1
2  1  2  0
> nrow(unique(x))
[1] 2
>

2009/9/8 "Biedermann, J?rgen" <juergen.biedermann at
charite.de>:
> Hi there,
>
> Does anyone know a method to calculate the number of different patterns in
a
> given data frame. The variables are of polytomous type and not binary (for
> the latter i found a package called "countpattern" which
unfortunately only
> functions for binary variables).
>
> V1 ? V2 ? V3
> 0 ? 3 ? 1
> 1 ? 2 ? 0
> 1 ? 2 ? 0
>
> So, in this case, i would like to get "2" as output.
>
> Thanks in advance
> J?rgen
>
> ______________________________________________
> 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.
>


-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem that you are trying to solve?

If your data.frame was called "test" below, 

nrow(unique(test)) 

would do what you want, I believe. 

Erik 

-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
On Behalf Of "Biedermann, J?rgen"
Sent: Tuesday, September 08, 2009 9:24 AM
To: r-help at r-project.org
Subject: [R] Count number of different patterns (Polytomous variable)

Hi there,

Does anyone know a method to calculate the number of different patterns 
in a given data frame. The variables are of polytomous type and not 
binary (for the latter i found a package called "countpattern" which 
unfortunately only functions for binary variables).

V1   V2   V3
0   3   1
1   2   0
1   2   0

So, in this case, i would like to get "2" as output.

Dear Jürgen,
If x is your data, here are two suggestions:

# Suggestion 1
length(unique( apply(x, 1, paste, sep="", collapse="") ) )
# [1] 2

# Suggestion 2
res <- as.data.frame( xtabs( ~. , as.data.frame( x ) ) )
dim(res[res$Freq > 0,])[1]
# [1] 2

HTH,
Jorge


2009/9/8 "Biedermann, Jürgen" <juergen.biedermann@charite.de>
> Hi there,
>
> Does anyone know a method to calculate the number of different patterns in
> a given data frame. The variables are of polytomous type and not binary
(for
> the latter i found a package called "countpattern" which
unfortunately only
> functions for binary variables).
>
> V1   V2   V3
> 0   3   1
> 1   2   0
> 1   2   0
>
> So, in this case, i would like to get "2" as output.
>
> Thanks in advance
> Jürgen
>
> ______________________________________________
> 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.
>
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