Hello Stephen,
I am happy that you help me. Thanks a million.
It is a good feeling that you confirm my assumption that dsvdis is
not able to deal with missing data, because it says me that I am not
completely incapable.
Okay now I have the problem what to do.
I used this function ´cause there is an option to weight columns
differently what I haven´t found in other functions.
But now I don´t understand why I have to transpose the species as
columns? As I read in the help manual of dsvdis this function
calculates dissimilarities between rows.
I have to calculate the dissimilarities between species that are in
rows by the use of morphological characters that are in columns.
Am I completely wrong with my thoughts?
Birgit
Am 20.06.2007 um 15:52 schrieb Stephen B. Cox:
> Hi Birgit - looks like you have a few issues here.
>
> Birgit Lemcke <birgit.lemcke <at> systbot.uzh.ch> writes:
>
>>
>> Hello you all!
>>
>> I am a completely new user of R and I have a problem to solve.
>> I am using Mac OS X on a PowerBook.
>>
>> I have a table that looks like this:
>>
>> species X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14
>> X15 X16 X17 X18 X19 X20 X21
>> 1 Anth_cap1 1 0 0 1 0 1 0 0 1 0 0 0 0 0
>> 0 0 1 0 0 0 1
>> 2 Anth_crin1 1 0 0 1 0 1 0 0 1 0 1 0 0 0
>> 0 0 0 1 0 0 1
>> 3 Anth_eck1 1 0 0 1 0 1 0 0 1 0 0 0 0 0
>> 0 0 0 1 0 0 1
>> 4 Anth_gram1 1 0 0 1 0 1 0 0 1 NA NA NA NA 0
>> 0 0 0 1 0 0 0
>> 5 Anth_insi1 1 0 0 1 0 1 0 0 1 0 0 0 1 0
>> 0 0 0 1 0 0 1
>>
>> All columns are binary coded characters.
>> The Import was done by this
>>
>> Test<-read.table("TestRFemMalBivariat1.csv",header = TRUE, sep = ";")
>
> First - you need to transpose the matrix to have species as
> columns. You can do
> this with:
>
> d2 = data.frame(t(Test[,-1]))
> colnames(d2) = Test[,1] #now use d2
>
>
>
>> Now I try to perform a similarity analysis with the dsvdis function
>> of the labdsv package with the sorensen-Index.
>>
>> My first question is if all zeros in my table are seen as missing
>> values and if it islike that how can I change without turning zero
>> into other numbers?
>
> no - the zeros are valid observations. the na's are missing data.
>
>
>> DisTest<-dsvdis(Test, index = "sorensen")
>>
>> But I always get back this error message:
>>
>> Warnung in symbol.For("dsvdis") :'symbol.For' is not needed: please
>> remove it
>> Fehler in dsvdis(Test, index = "sorensen") :
>> NA/NaN/Inf in externem Funktionsaufruf (arg 1)
>> Zusätzlich: Warning message:
>> NAs durch Umwandlung erzeugt
>
>
>
> Second - you have an issue with missing data. It looks like dsvdis
> does not
> like the NA's - so you must make a decision about what to do.
> Delete that
> species, delete that site, or whatever...
>
> Finally - the warning over symbol.For is an issue with the labdsv
> library itself
> - nothing you are doing wrong. The results will still be valid -
> but the use of
> symbol.For is something that will eventually need to be changed in
> the labdsv
> library.
>
> hth,
>
> stephen
Birgit Lemcke
Institut für Systematische Botanik
Zollikerstrasse 107
CH-8008 Zürich
Switzerland
Ph: +41 (0)44 634 8351
[EMAIL PROTECTED]
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