Forgot to suggest: if labSt is the 1st column in your file, you could
just add "row.names = 1" to your read.csv call.
On Mon, Nov 28, 2011 at 8:06 PM, Florent D. <flo...@gmail.com> wrote:
> Unlike a data.frame, a matrix can only hold one type of data. Since
> you have a column of characters ("labSt") in your original data,
> turning it into a matrix will give you a matrix of characters. You can
> check it is the case by asking class(DF.m[1,1]).
>
> So you'll have to remove this labSt column before you use as.matrix,
> maybe use it for your rownames if you want to keep labSt around.
>
>
> On Mon, Nov 28, 2011 at 11:49 AM, Matevž Pavlič
> <matevz.pav...@gi-zrmk.si> wrote:
>> Hi all,
>>
>>
>>
>> i have a data set cintaining 14 columns and 11 rows. Rows represent single
>> point and columns represent the parameter measured.
>>
>> I wiuld like to compare the data to see which are more alike. I used the
>> cluster analysis, but now i ma wondering if there are some other methods,
>> since the cluster analysis did not give me the result i like.
>>
>> I tried to use factanal() for factor analysis but i geta an error saying
>> that it can only be used on numerical data (which is odd since all i have is
>> numerical data).
>>
>> For factanal i used this code :
>>
>>
>>
>> DFm<-read.csv("kemijaM.csv", sep=";", dec=".") # input data
>>
>> DF.m<-as.matrix(DFm)
>> # transform it to matrix
>>
>> factanal(DF, factors=5)
>> # factor analysis
>>
>>
>>
>> Here is what data looks like....
>>
>>
>>
>> 'data.frame': 11 obs. of 14 variables:
>>
>> $ labSt : Factor w/ 11 levels "2011/9496","2011/9497",..: 1 2 3 4
>> 5 6 7 8 9 10 ...
>>
>> $ Mangan : num 0.1313 0.6364 0.0889 0.0028 0 ...
>>
>> $ Kalcij : num 0.192 0.566 0.172 0 0.303 ...
>>
>> $ Magnezij : num 0.321 0.568 0.29 0.352 0 ...
>>
>> $ Fluorid : num 0.6739 0.2283 0.7826 0.0109 0.2609 ...
>>
>> $ Hidrogenkarbonati: num 0.362 1 0.31 0 0.16 ...
>>
>> $ Kalij : num 0.335 0.456 0.335 0.426 0 ...
>>
>> $ Sulfat : num 0.692 0 0.517 0.609 0.609 ...
>>
>> $ Nitrati : num 0.3934 0.0195 0.5008 0.3835 0.2601 ...
>>
>> $ Silikati : num 0.55 1 0.5214 0.0429 0.7143 ...
>>
>> $ Fe : num 0.786 0 0.357 0.214 0 ...
>>
>> $ Natrij : num 0.1321 0.093 0.093 0.0579 0 ...
>>
>> $ m.Alkaliteta : num 0.362 1 0.31 0 0.161 ...
>>
>> $ Klorid : num 0.0372 0.02471 0.03895 0.02721 0.00107 ...
>>
>>
>>>
>>
>>
>>
>> Any ideas would be greatly appreciated.
>>
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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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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