R help - May 2009 - I need your help about plsr

Hi, I need your help, so I send letter to you.

I have a problem about plsr in pls package. I want to show how classfied or
related each ohter samples, so I tried to use plsr and biplot.

But, I failed. Because, I had to change data type of my sample.
Unfortunately, I didn't know how change data type.

I want you to help me about that.

please, help me.

I show you my sample data , my scripts and error message.

sample data
> asdf
  sp mw.1 mw.2 mw.3
1  a    1    2    5
2  a    2    3    6
3  b    3    4    7
4  c    4    5    8
5  c    5    6    9

My script
p1=plsr(sp~ .,data=asdf,varidation='CV')

error message

Warning message:
In model.response(mf, "numeric") :
  using type="numeric" with a factor response will be ignored

I use korean version R. so I can show origin error message directly.

The error message mean that colMeans(Y) : 'x' is must numerical value.

	[[alternative HTML version deleted]]

Hi,
plsr funtion in pls package are intented for calculation of regression
models. You must define your Y matrix as bianary identification matrix
or You can just use plsda function from R's caret package.

http://caret.r-forge.r-project.org/Classification_and_Regression_Training.html

Best regards,

Andris

On Thu, May 7, 2009 at 11:34 AM, yongkook Kwon <yongkookkwon at gmail.com>
wrote:
> Hi, I need your help, so I send letter to you.
>
> I have a problem about plsr in pls package. I want to show how classfied or
> related each ohter samples, so I tried to use plsr and biplot.
>
> But, I failed. Because, I had to change data type of my sample.
> Unfortunately, I didn't know how change data type.
>
> I want you to help me about that.
>
> please, help me.
>
> I show you my sample data , my scripts and error message.
>
> sample data
>> asdf
> ?sp mw.1 mw.2 mw.3
> 1 ?a ? ?1 ? ?2 ? ?5
> 2 ?a ? ?2 ? ?3 ? ?6
> 3 ?b ? ?3 ? ?4 ? ?7
> 4 ?c ? ?4 ? ?5 ? ?8
> 5 ?c ? ?5 ? ?6 ? ?9
>
> My script
> p1=plsr(sp~ .,data=asdf,varidation='CV')
>
> error message
>
> Warning message:
> In model.response(mf, "numeric") :
> ?using type="numeric" with a factor response will be ignored
>
> I use korean version R. so I can show origin error message directly.
>
> The error message mean that colMeans(Y) : 'x' is must numerical
value.
>
> ? ? ? ?[[alternative HTML version deleted]]
>
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