u>; Jim Lemon
<drjimle...@gmail.com>; r-help mailing list <r-help@r-project.org>
Subject: RE: [R] Principle Component Analysis: Ranking Animal Size Based On
Combined Metrics
The first principal component should be your estimate of "size" since it
captures the correlatio
.9984574 1.000
David C
-Original Message-
From: Sidoti, Salvatore A. [mailto:sidoti...@buckeyemail.osu.edu]
Sent: Monday, November 14, 2016 11:41 AM
To: David L Carlson; Jim Lemon; r-help mailing list
Subject: RE: [R] Principle Component Analysis: Ranking Animal Size Based On
ty
College Station, TX 77840-4352
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Sidoti,
Salvatore A.
Sent: Sunday, November 13, 2016 7:38 PM
To: Jim Lemon; r-help mailing list
Subject: Re: [R] Principle Component Analysis: Ranking Animal Size Based On
Combine
ginal Message-
From: Jim Lemon [mailto:drjimle...@gmail.com]
Sent: Sunday, November 13, 2016 3:53 PM
To: Sidoti, Salvatore A. <sidoti...@buckeyemail.osu.edu>; r-help mailing list
<r-help@r-project.org>
Subject: Re: [R] Principle Component Analysis: Ranking Animal Size Based
Salvatore,
I won't comment on whether to use log weight "to increase the
correlation" -- that depends on whether that makes sense, and whether
the relationships with other variables is more nearly linear.
Try this with your pca of the correlation matrix:
biplot(pca_morpho)
You'll see that
ation of my PCA data?
>
> Salvatore A. Sidoti
> PhD Student
> Behavioral Ecology
>
> -Original Message-
> From: Jim Lemon [mailto:drjimle...@gmail.com]
> Sent: Sunday, November 13, 2016 3:53 PM
> To: Sidoti, Salvatore A. <sidoti...@buckeyemail.osu.edu>; r-help mail
Hi Salvatore,
If by "size" you mean volume, why not directly measure the volume of
your animals? They appear to be fairly small. Sometimes working out
what the critical value actually means can inform the way to measure
it.
Jim
On Sun, Nov 13, 2016 at 4:46 PM, Sidoti, Salvatore A.
While you may get a reply here, this list is about R programming, not
about statistics. So
1. Do your homework and read a tutorial on PCA on the web or
elsewhere. Isn't this what a PhD student is supposed to do?
2. Post on a statistics list like stats.stackexchange.com.
3. Consult your
Let's say I perform 4 measurements on an animal: three are linear measurements
in millimeters and the fourth is its weight in milligrams. So, we have a data
set with mixed units.
Based on these four correlated measurements, I would like to obtain one "score"
or value that describes an
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