Re: [R] testing whether two character vectors contain (the same) items in the same order

2015-08-08 Thread Robert Baer



On 8/6/2015 5:25 AM, Federico Calboli wrote:

Hi All,

let’s assume I have a vector of letters drawn only once from the alphabet:

x = sample(letters, 15, replace = F)
x
  [1] z t g l u d w x a q k j f n “v

y = x[c(1:7,9:8, 10:12, 14, 15, 13)]

I would now like to test how good a match y is for x.  Obviously I can 
transform the letters in numbers and use a rank test, but I was left wondering 
whether this is the only solution and whether there are more appropriate 
solutions that are already implemented in R (I am not going to reinvent the 
wheel if I can avoid it).

BW

F

Perhaps
install.packages(stringdist)
help(package = 'stringdist')







--
Federico Calboli
Ecological Genetics Research Unit
Department of Biosciences
PO Box 65 (Biocenter 3, Viikinkaari 1)
FIN-00014 University of Helsinki
Finland

federico.calb...@helsinki.fi

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Re: [R] testing whether two character vectors contain (the same) items in the same order

2015-08-08 Thread Robert Baer

And I probably should have included this link:
http://journal.r-project.org/archive/2014-1/loo.pdf

On 8/8/2015 12:50 PM, Robert Baer wrote:



On 8/6/2015 5:25 AM, Federico Calboli wrote:

Hi All,

let’s assume I have a vector of letters drawn only once from the 
alphabet:


x = sample(letters, 15, replace = F)
x
  [1] z t g l u d w x a q k j f n “v

y = x[c(1:7,9:8, 10:12, 14, 15, 13)]

I would now like to test how good a match y is for x.  Obviously I 
can transform the letters in numbers and use a rank test, but I was 
left wondering whether this is the only solution and whether there 
are more appropriate solutions that are already implemented in R (I 
am not going to reinvent the wheel if I can avoid it).


BW

F

Perhaps
install.packages(stringdist)
help(package = 'stringdist')







--
Federico Calboli
Ecological Genetics Research Unit
Department of Biosciences
PO Box 65 (Biocenter 3, Viikinkaari 1)
FIN-00014 University of Helsinki
Finland

federico.calb...@helsinki.fi

__
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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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Re: [R] testing whether two character vectors contain (the same) items in the same order

2015-08-07 Thread Federico Calboli

 On 7 Aug 2015, at 01:59, Bert Gunter bgunter.4...@gmail.com wrote:
 
 Boris:
 
 You may be right, but it seems like esp to me based on the op's 
 non-description of likelihood of coming from the same noisy process. My 
 response would be: seek local statistical help, as your replies indicate a 
 good deal of statistical confusion.
 
 Cheers,
 Bert

Bert,

as this is R-help and not cross-validated I am looking for a precanned function 
that would test whether the order of characters in two character vectors comes 
from the same (noisy) process.  I would thus expect you to say something on the 
lines of:

function X uses method Y to do something like that
function W uses method Z to do something like that
…

look into those, figure out exactly what you are testing and use the most 
appropiate function.  

The whys and wherefores are for me to deal with, I just want to know whether 
someone has built a function that does, or seems to do, what I asked for.  As I 
said, this is R-help, and I seek help for R use.

I do concede that my original question might have left many wondering, but I 
guess my reply to Boris would have cleared any doubts.  I am therefore puzzled 
by the great deal of confusion on your part in understanding the purpose of my 
question and, in general, of this list.

Best wishes

F


 
 
 
 On Thursday, August 6, 2015, Boris Steipe boris.ste...@utoronto.ca wrote:
 You are looking for what is known as the Cayley distance between vectors - 
 an edit distance that allows only transpositions. RSeek mentions PerMallows 
 (https://cran.r-project.org/web/packages/PerMallows/PerMallows.pdf) and 
 Rankluster 
 (https://cran.r-project.org/web/packages/Rankcluster/Rankcluster.pdf) as 
 packages that support work with Cayley distances. It seems to me that 
 distCayley() in Rankcluster does what you want. From the examples:
 
 x=1:5
 y=c(2,3,1,4,5)
 distCayley(x,y)
 8
 
 
 Cheers,
 Boris
 
 
 
 
 
 On Aug 6, 2015, at 9:51 AM, Federico Calboli federico.calb...@helsinki.fi 
 wrote:
 
 
  On 6 Aug 2015, at 15:40, Bert Gunter bgunter.4...@gmail.com wrote:
 
  Define goodness of match .  For exact matches, see ?== , all.equal, 
  etc.
 
  Fair point.  I would define it as a number that tells me how likely it is 
  that the same (noisy) process produced both lists.
 
  BW
 
  F
 
 
 
 
 
  Bert
 
  On Thursday, August 6, 2015, Federico Calboli 
  federico.calb...@helsinki.fi wrote:
  Hi All,
 
  let’s assume I have a vector of letters drawn only once from the alphabet:
 
  x = sample(letters, 15, replace = F)
  x
  [1] z t g l u d w x a q k j f n “v
 
  y = x[c(1:7,9:8, 10:12, 14, 15, 13)]
 
  I would now like to test how good a match y is for x.  Obviously I can 
  transform the letters in numbers and use a rank test, but I was left 
  wondering whether this is the only solution and whether there are more 
  appropriate solutions that are already implemented in R (I am not going to 
  reinvent the wheel if I can avoid it).
 
  BW
 
  F
 
 
  --
  Federico Calboli
  Ecological Genetics Research Unit
  Department of Biosciences
  PO Box 65 (Biocenter 3, Viikinkaari 1)
  FIN-00014 University of Helsinki
  Finland
 
  federico.calb...@helsinki.fi
 
  __
  R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
  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.
 
 
  --
  Bert Gunter
 
  Data is not information. Information is not knowledge. And knowledge is 
  certainly not wisdom.
-- Clifford Stoll
 
 
 
  --
  Federico Calboli
  Ecological Genetics Research Unit
  Department of Biosciences
  PO Box 65 (Biocenter 3, Viikinkaari 1)
  FIN-00014 University of Helsinki
  Finland
 
  federico.calb...@helsinki.fi
 
  __
  R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
  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@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 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.
 
 
 -- 
 Bert Gunter
 
 Data is not information. Information is not knowledge. And knowledge is 
 certainly not wisdom.
-- Clifford Stoll
 


--
Federico Calboli
Ecological Genetics Research Unit
Department of Biosciences
PO Box 65 (Biocenter 3, Viikinkaari 1)
FIN-00014 University of Helsinki
Finland

federico.calb...@helsinki.fi

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Re: [R] testing whether two character vectors contain (the same) items in the same order

2015-08-07 Thread David Winsemius

On Aug 7, 2015, at 12:22 AM, Federico Calboli wrote:

 
 On 7 Aug 2015, at 01:59, Bert Gunter bgunter.4...@gmail.com wrote:
 
 Boris:
 
 You may be right, but it seems like esp to me based on the op's 
 non-description of likelihood of coming from the same noisy process. My 
 response would be: seek local statistical help, as your replies indicate a 
 good deal of statistical confusion.
 
 Cheers,
 Bert
 
 Bert,
 
 as this is R-help and not cross-validated I am looking for a precanned 
 function that would test whether the order of characters in two character 
 vectors comes from the same (noisy) process.  I would thus expect you to say 
 something on the lines of:
 
 function X uses method Y to do something like that
 function W uses method Z to do something like that
 …
 
 look into those, figure out exactly what you are testing and use the most 
 appropiate function.  
 
 The whys and wherefores are for me to deal with, I just want to know whether 
 someone has built a function that does, or seems to do, what I asked for.  As 
 I said, this is R-help, and I seek help for R use.

 findFn(levenshtein)
found 57 matches;  retrieving 3 pages
2 3 
Downloaded 44 links in 17 packages.


 stringdist::stringdist( paste0(x, collapse=), paste0(letters[y], 
collapse=) )
[1] 30

-- 
HTH;
David.

 
 I do concede that my original question might have left many wondering, but I 
 guess my reply to Boris would have cleared any doubts.  I am therefore 
 puzzled by the great deal of confusion on your part in understanding the 
 purpose of my question and, in general, of this list.
 
 Best wishes
 
 F
 
 
 
 
 
 On Thursday, August 6, 2015, Boris Steipe boris.ste...@utoronto.ca wrote:
 You are looking for what is known as the Cayley distance between vectors - 
 an edit distance that allows only transpositions. RSeek mentions PerMallows 
 (https://cran.r-project.org/web/packages/PerMallows/PerMallows.pdf) and 
 Rankluster 
 (https://cran.r-project.org/web/packages/Rankcluster/Rankcluster.pdf) as 
 packages that support work with Cayley distances. It seems to me that 
 distCayley() in Rankcluster does what you want. From the examples:
 
 x=1:5
 y=c(2,3,1,4,5)
 distCayley(x,y)
 8
 
 
 Cheers,
 Boris
 
 
 
 
 
 On Aug 6, 2015, at 9:51 AM, Federico Calboli federico.calb...@helsinki.fi 
 wrote:
 
 
 On 6 Aug 2015, at 15:40, Bert Gunter bgunter.4...@gmail.com wrote:
 
 Define goodness of match .  For exact matches, see ?== , all.equal, 
 etc.
 
 Fair point.  I would define it as a number that tells me how likely it is 
 that the same (noisy) process produced both lists.
 
 BW
 
 F
 
 
 
 
 
 Bert
 
 On Thursday, August 6, 2015, Federico Calboli 
 federico.calb...@helsinki.fi wrote:
 Hi All,
 
 let’s assume I have a vector of letters drawn only once from the alphabet:
 
 x = sample(letters, 15, replace = F)
 x
 [1] z t g l u d w x a q k j f n “v
 
 y = x[c(1:7,9:8, 10:12, 14, 15, 13)]
 
 I would now like to test how good a match y is for x.  Obviously I can 
 transform the letters in numbers and use a rank test, but I was left 
 wondering whether this is the only solution and whether there are more 
 appropriate solutions that are already implemented in R (I am not going to 
 reinvent the wheel if I can avoid it).
 
 BW
 
 F
 
 
 --
 Federico Calboli
 Ecological Genetics Research Unit
 Department of Biosciences
 PO Box 65 (Biocenter 3, Viikinkaari 1)
 FIN-00014 University of Helsinki
 Finland
 
 federico.calb...@helsinki.fi
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 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.
 
 
 --
 Bert Gunter
 
 Data is not information. Information is not knowledge. And knowledge is 
 certainly not wisdom.
  -- Clifford Stoll
 
 
 
 --
 Federico Calboli
 Ecological Genetics Research Unit
 Department of Biosciences
 PO Box 65 (Biocenter 3, Viikinkaari 1)
 FIN-00014 University of Helsinki
 Finland
 
 federico.calb...@helsinki.fi
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 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@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 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.
 
 
 -- 
 Bert Gunter
 
 Data is not information. Information is not knowledge. And knowledge is 
 certainly not wisdom.
   -- Clifford Stoll
 
 
 
 --
 Federico Calboli
 Ecological Genetics Research Unit
 Department of Biosciences
 PO Box 65 (Biocenter 3, 

[R] testing whether two character vectors contain (the same) items in the same order

2015-08-06 Thread Federico Calboli
Hi All,

let’s assume I have a vector of letters drawn only once from the alphabet:

x = sample(letters, 15, replace = F)
x
 [1] z t g l u d w x a q k j f n “v

y = x[c(1:7,9:8, 10:12, 14, 15, 13)]

I would now like to test how good a match y is for x.  Obviously I can 
transform the letters in numbers and use a rank test, but I was left wondering 
whether this is the only solution and whether there are more appropriate 
solutions that are already implemented in R (I am not going to reinvent the 
wheel if I can avoid it).

BW

F


--
Federico Calboli
Ecological Genetics Research Unit
Department of Biosciences
PO Box 65 (Biocenter 3, Viikinkaari 1)
FIN-00014 University of Helsinki
Finland

federico.calb...@helsinki.fi

__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.

Re: [R] testing whether two character vectors contain (the same) items in the same order

2015-08-06 Thread Bert Gunter
Boris:

You may be right, but it seems like esp to me based on the op's
non-description of likelihood of coming from the same noisy process. My
response would be: seek local statistical help, as your replies indicate a
good deal of statistical confusion.

Cheers,
Bert



On Thursday, August 6, 2015, Boris Steipe boris.ste...@utoronto.ca wrote:

 You are looking for what is known as the Cayley distance between vectors
 - an edit distance that allows only transpositions. RSeek mentions
 PerMallows (
 https://cran.r-project.org/web/packages/PerMallows/PerMallows.pdf) and
 Rankluster (
 https://cran.r-project.org/web/packages/Rankcluster/Rankcluster.pdf) as
 packages that support work with Cayley distances. It seems to me that
 distCayley() in Rankcluster does what you want. From the examples:

 x=1:5
 y=c(2,3,1,4,5)
 distCayley(x,y)
 8


 Cheers,
 Boris





 On Aug 6, 2015, at 9:51 AM, Federico Calboli federico.calb...@helsinki.fi
 javascript:; wrote:

 
  On 6 Aug 2015, at 15:40, Bert Gunter bgunter.4...@gmail.com
 javascript:; wrote:
 
  Define goodness of match .  For exact matches, see ?== , all.equal,
 etc.
 
  Fair point.  I would define it as a number that tells me how likely it
 is that the same (noisy) process produced both lists.
 
  BW
 
  F
 
 
 
 
 
  Bert
 
  On Thursday, August 6, 2015, Federico Calboli 
 federico.calb...@helsinki.fi javascript:; wrote:
  Hi All,
 
  let’s assume I have a vector of letters drawn only once from the
 alphabet:
 
  x = sample(letters, 15, replace = F)
  x
  [1] z t g l u d w x a q k j f n “v
 
  y = x[c(1:7,9:8, 10:12, 14, 15, 13)]
 
  I would now like to test how good a match y is for x.  Obviously I can
 transform the letters in numbers and use a rank test, but I was left
 wondering whether this is the only solution and whether there are more
 appropriate solutions that are already implemented in R (I am not going to
 reinvent the wheel if I can avoid it).
 
  BW
 
  F
 
 
  --
  Federico Calboli
  Ecological Genetics Research Unit
  Department of Biosciences
  PO Box 65 (Biocenter 3, Viikinkaari 1)
  FIN-00014 University of Helsinki
  Finland
 
  federico.calb...@helsinki.fi javascript:;
 
  __
  R-help@r-project.org javascript:; mailing list -- To UNSUBSCRIBE and
 more, see
  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.
 
 
  --
  Bert Gunter
 
  Data is not information. Information is not knowledge. And knowledge
 is certainly not wisdom.
-- Clifford Stoll
 
 
 
  --
  Federico Calboli
  Ecological Genetics Research Unit
  Department of Biosciences
  PO Box 65 (Biocenter 3, Viikinkaari 1)
  FIN-00014 University of Helsinki
  Finland
 
  federico.calb...@helsinki.fi javascript:;
 
  __
  R-help@r-project.org javascript:; mailing list -- To UNSUBSCRIBE and
 more, see
  https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guide
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  and provide commented, minimal, self-contained, reproducible code.

 __
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 more, see
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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.



-- 
Bert Gunter

Data is not information. Information is not knowledge. And knowledge is
certainly not wisdom.
   -- Clifford Stoll

[[alternative HTML version deleted]]

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Re: [R] testing whether two character vectors contain (the same) items in the same order

2015-08-06 Thread Bert Gunter
Define goodness of match .  For exact matches, see ?== , all.equal, etc.

Bert

On Thursday, August 6, 2015, Federico Calboli federico.calb...@helsinki.fi
wrote:

 Hi All,

 let’s assume I have a vector of letters drawn only once from the alphabet:

 x = sample(letters, 15, replace = F)
 x
  [1] z t g l u d w x a q k j f n “v

 y = x[c(1:7,9:8, 10:12, 14, 15, 13)]

 I would now like to test how good a match y is for x.  Obviously I can
 transform the letters in numbers and use a rank test, but I was left
 wondering whether this is the only solution and whether there are more
 appropriate solutions that are already implemented in R (I am not going to
 reinvent the wheel if I can avoid it).

 BW

 F


 --
 Federico Calboli
 Ecological Genetics Research Unit
 Department of Biosciences
 PO Box 65 (Biocenter 3, Viikinkaari 1)
 FIN-00014 University of Helsinki
 Finland

 federico.calb...@helsinki.fi javascript:;

 __
 R-help@r-project.org javascript:; mailing list -- To UNSUBSCRIBE and
 more, see
 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.



-- 
Bert Gunter

Data is not information. Information is not knowledge. And knowledge is
certainly not wisdom.
   -- Clifford Stoll

[[alternative HTML version deleted]]

__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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Re: [R] testing whether two character vectors contain (the same) items in the same order

2015-08-06 Thread Boris Steipe
You are looking for what is known as the Cayley distance between vectors - an 
edit distance that allows only transpositions. RSeek mentions PerMallows 
(https://cran.r-project.org/web/packages/PerMallows/PerMallows.pdf) and 
Rankluster 
(https://cran.r-project.org/web/packages/Rankcluster/Rankcluster.pdf) as 
packages that support work with Cayley distances. It seems to me that 
distCayley() in Rankcluster does what you want. From the examples:

x=1:5
y=c(2,3,1,4,5)
distCayley(x,y)
8


Cheers,
Boris





On Aug 6, 2015, at 9:51 AM, Federico Calboli federico.calb...@helsinki.fi 
wrote:

 
 On 6 Aug 2015, at 15:40, Bert Gunter bgunter.4...@gmail.com wrote:
 
 Define goodness of match .  For exact matches, see ?== , all.equal, etc.
 
 Fair point.  I would define it as a number that tells me how likely it is 
 that the same (noisy) process produced both lists.
 
 BW
 
 F
 
 
 
 
 
 Bert
 
 On Thursday, August 6, 2015, Federico Calboli federico.calb...@helsinki.fi 
 wrote:
 Hi All,
 
 let’s assume I have a vector of letters drawn only once from the alphabet:
 
 x = sample(letters, 15, replace = F)
 x
 [1] z t g l u d w x a q k j f n “v
 
 y = x[c(1:7,9:8, 10:12, 14, 15, 13)]
 
 I would now like to test how good a match y is for x.  Obviously I can 
 transform the letters in numbers and use a rank test, but I was left 
 wondering whether this is the only solution and whether there are more 
 appropriate solutions that are already implemented in R (I am not going to 
 reinvent the wheel if I can avoid it).
 
 BW
 
 F
 
 
 --
 Federico Calboli
 Ecological Genetics Research Unit
 Department of Biosciences
 PO Box 65 (Biocenter 3, Viikinkaari 1)
 FIN-00014 University of Helsinki
 Finland
 
 federico.calb...@helsinki.fi
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 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.
 
 
 -- 
 Bert Gunter
 
 Data is not information. Information is not knowledge. And knowledge is 
 certainly not wisdom.
   -- Clifford Stoll
 
 
 
 --
 Federico Calboli
 Ecological Genetics Research Unit
 Department of Biosciences
 PO Box 65 (Biocenter 3, Viikinkaari 1)
 FIN-00014 University of Helsinki
 Finland
 
 federico.calb...@helsinki.fi
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 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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and provide commented, minimal, self-contained, reproducible code.


Re: [R] testing whether two character vectors contain (the same) items in the same order

2015-08-06 Thread Federico Calboli

 On 6 Aug 2015, at 15:40, Bert Gunter bgunter.4...@gmail.com wrote:
 
 Define goodness of match .  For exact matches, see ?== , all.equal, etc.

Fair point.  I would define it as a number that tells me how likely it is that 
the same (noisy) process produced both lists.

BW

F




 
 Bert
 
 On Thursday, August 6, 2015, Federico Calboli federico.calb...@helsinki.fi 
 wrote:
 Hi All,
 
 let’s assume I have a vector of letters drawn only once from the alphabet:
 
 x = sample(letters, 15, replace = F)
 x
  [1] z t g l u d w x a q k j f n “v
 
 y = x[c(1:7,9:8, 10:12, 14, 15, 13)]
 
 I would now like to test how good a match y is for x.  Obviously I can 
 transform the letters in numbers and use a rank test, but I was left 
 wondering whether this is the only solution and whether there are more 
 appropriate solutions that are already implemented in R (I am not going to 
 reinvent the wheel if I can avoid it).
 
 BW
 
 F
 
 
 --
 Federico Calboli
 Ecological Genetics Research Unit
 Department of Biosciences
 PO Box 65 (Biocenter 3, Viikinkaari 1)
 FIN-00014 University of Helsinki
 Finland
 
 federico.calb...@helsinki.fi
 
 __
 R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
 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.
 
 
 -- 
 Bert Gunter
 
 Data is not information. Information is not knowledge. And knowledge is 
 certainly not wisdom.
-- Clifford Stoll
 


--
Federico Calboli
Ecological Genetics Research Unit
Department of Biosciences
PO Box 65 (Biocenter 3, Viikinkaari 1)
FIN-00014 University of Helsinki
Finland

federico.calb...@helsinki.fi

__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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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.