x.
>
> Good luck!
>
> Moshe.
>
> P.S. I am curious to see what other people think.
>
> --- On Fri, 21/8/09, misha680 wrote:
>
>> From: misha680
>> Subject: [R] Principle components analysis on a large dataset
>> To: r-help@r-project.org
>>
Thu, 20 Aug 2009 17:45:00 -0700 (PDT)
From: misha680
Subject: [R] Principle components analysis on a large dataset
To: r-help@r-project.org
Message-ID: <25072510.p...@talk.nabble.com>
Content-Type: text/plain; charset=us-ascii
Dear Sirs:
Please pardon me I am very new to R. I have been us
Moshe Olshansky yahoo.com> writes:
>
> Hi Misha,
>
> Since PCA is a linear procedure and you have only 6000 observations, you do
not need 68000 variables. Using
> any 6000 of your variables so that the resulting 6000x6000 matrix is
non-singular will do. You can choose
> these 6000 variables (co
Dear Sirs:
Please pardon me I am very new to R. I have been using MATLAB.
I was wondering if R would allow me to do principal components analysis on a
very large
dataset.
Specifically, our dataset has 68800 variables and around 6000 observations.
Matlab gives "out of memory" errors. I have trie
000 matrix, i.e. 36,000,000 entries, which
can fit into a memory and you can perform the usual PCA on this matrix.
Good luck!
Moshe.
P.S. I am curious to see what other people think.
--- On Fri, 21/8/09, misha680 wrote:
> From: misha680
> Subject: [R] Principle components analysis on
Dear Sirs:
Please pardon me I am very new to R. I have been using MATLAB.
I was wondering if R would allow me to do principal components analysis on a
very large
dataset.
Specifically, our dataset has 68800 variables and around 6000 observations.
Matlab gives "out of memory" errors. I have trie
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