PLEASE, please ... learn to use R's Help system before posting here!
within R:
>??"discriminant analysis"
## short form of: help.search("discriminant analysis")
?help
?help.search
or even google something like:
"R software discriminant analysis"
Cheers,
Bert
On Sun, Apr 7, 2013 at 11:25 A
; I wanted to run a discriminant function as a comparison. Is PCA more
> > robust at detecting differences based on the morphometrics?
> >
> > Can you give me the details of your masters (title, school, ect) so I can
> > reference it.
> >
> > Mike
>
ct.org
> > From: chrismco...@me.com
> > Subject: Re: [R] discriminant function analysis
> > Date: Tue, 16 Nov 2010 22:12:32 +
> > To: megalop...@hotmail.com
> >
> > Hi,
> >
> > I did this exact thing for my masters, with intertidal fish, I just use
On Tue, 2010-11-16 at 12:01 -0500, Mike Gibson wrote:
> My objective is to look at differences in two species of fish from
> morphometric measurements. My morphometric measurements are head
> length, eye diameter, snout length, and measurements from tail to each
> fin. I want to use discrimanant f
Hi,
I did this exact thing for my masters, with intertidal fish, I just used a PCA?
have you tried that?
Sent from my iPhone
On 16 Nov 2010, at 17:01, Mike Gibson wrote:
>
> My objective is to look at differences in two species of fish from
> morphometric measurements. My morphometric me
Thank you all for your good advices and codes.
I know really that I have huge deficits in statistics knowledge and I
am really working on it, but its not done in five minutes.
Anyway thank you very match for your help.
Greets
Birgit
Am 07.02.2008 um 17:34 schrieb Gavin Simpson:
> On Thu, 200
On Thu, 2008-02-07 at 11:16 -0400, tyler wrote:
> On Thu, Feb 07, 2008 at 02:36:58PM +, Gavin Simpson wrote:
> >
> > But I'm not sure this matters much. If you use the formula interface to
> > lda(), factors get expanded to the dummy variables Tyler is talking
> > about. But of course, a facto
On Thu, 7 Feb 2008, Tyler Smith wrote:
On 2008-02-07, Birgit Lemcke <[EMAIL PROTECTED]> wrote:
Am 06.02.2008 um 21:00 schrieb Tyler Smith:
My dataset contains variables of the classes factor and numeric. Is
there another function that is able to handle this?
The numeric variables are fine
On Thu, Feb 07, 2008 at 02:36:58PM +, Gavin Simpson wrote:
>
> But I'm not sure this matters much. If you use the formula interface to
> lda(), factors get expanded to the dummy variables Tyler is talking
> about. But of course, a factor with two levels 0/1 doesn't need much
> manipulation as
hits=-2.6 tests�YES_00
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On Thu, 2008-02-07 at 13:21 +, Tyler Smith wrote:
> On 2008-02-07, Birgit Lemcke <[EMAIL PROTECTED]> wrote:
> >
> > Am 06.02.2008 um 21:00 schrieb Tyler Smith:
> >>
> >>> My dataset contains variables of the classes factor and numeric. Is
> >>> there
On 2008-02-07, Birgit Lemcke <[EMAIL PROTECTED]> wrote:
>
> Am 06.02.2008 um 21:00 schrieb Tyler Smith:
>>
>>> My dataset contains variables of the classes factor and numeric. Is
>>> there another function that is able to handle this?
>>
>> The numeric variables are fine. The factor variables may h
Am 06.02.2008 um 21:00 schrieb Tyler Smith:
> On 2008-02-06, Birgit Lemcke <[EMAIL PROTECTED]> wrote:
>>
>> I am using R 2.6.1 on a PowerBook G4.
>> I would like to perform a discriminant function analysis. I found lda
>> in MASS but as far as I understood, is it only working with
>> explanatory
On 2008-02-06, Birgit Lemcke <[EMAIL PROTECTED]> wrote:
>
> I am using R 2.6.1 on a PowerBook G4.
> I would like to perform a discriminant function analysis. I found lda
> in MASS but as far as I understood, is it only working with
> explanatory variables of the class factor.
I think you are
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