SL == Steve Lianoglou mailinglist.honey...@gmail.com
on Mon, 23 Apr 2012 01:10:31 -0400 writes:
SL On Mon, Apr 23, 2012 at 12:01 AM, Michael
SL comtech@gmail.com wrote:
yes, but that is not a good Review or Survey... thx
SL But the packages listed there do have their
I could not reply directly to the initial thread with the same title.
There are two sorts of Robust PCA, those that were devised before the
recent string of Low Rank approaches and then the new set of algorithms
that provide robust PCA in light of sparse but potentially large
errors/outliers
I actually tried robustPca in pcaMethods on bioconductor.
It keeps giving me the warning Input data is not complete...
Reading into the function:
When there is no NAs, it will give this warning...
It seems that there is a bug in this code...
Is it reliable at all?
-
Any thoughts on this error in robustSVD?
Thanks a lot!
Error in if (!all(tmp)) { : missing value where TRUE/FALSE needed
Enter a frame number, or 0 to exit
1: #73: pca(dTmp, method = robustPca, nPcs = nNumFactors, center = FALSE)
2: robustPca(prepres$data, nPcs = nPcs, ...)
3:
On Sun, Apr 22, 2012 at 4:43 PM, Michael comtech@gmail.com wrote:
I actually tried robustPca in pcaMethods on bioconductor.
It keeps giving me the warning Input data is not complete...
Reading into the function:
When there is no NAs, it will give this warning...
It seems that there is
Even in R, there are so many of robust PCA... any survey or review of all
these different methods?
On Sun, Apr 22, 2012 at 6:58 PM, Joshua Wiley jwiley.ps...@gmail.comwrote:
On Sun, Apr 22, 2012 at 4:43 PM, Michael comtech@gmail.com wrote:
I actually tried robustPca in pcaMethods on
As I believe I already told you, look at the CRAN Robust task view.
-- Bert
On Sun, Apr 22, 2012 at 6:29 PM, Michael comtech@gmail.com wrote:
Even in R, there are so many of robust PCA... any survey or review of all
these different methods?
On Sun, Apr 22, 2012 at 6:58 PM, Joshua Wiley
yes, but that is not a good Review or Survey... thx
On Sun, Apr 22, 2012 at 9:47 PM, Bert Gunter gunter.ber...@gene.com wrote:
As I believe I already told you, look at the CRAN Robust task view.
-- Bert
On Sun, Apr 22, 2012 at 6:29 PM, Michael comtech@gmail.com wrote:
Even in R, there
On Mon, Apr 23, 2012 at 12:01 AM, Michael comtech@gmail.com wrote:
yes, but that is not a good Review or Survey... thx
But the packages listed there do have their own documentation and
vignettes. For instance the rrcov package seems to have a nice
vignette about its design as well as methods
You can also have a look at the pcaMethods package on Bioconductor.
Kevin
On Thu, Apr 19, 2012 at 11:20 PM, Michael comtech@gmail.com wrote:
Hi all,
I found that the PCA gave chaotic results when there are big changes in a
few data points.
Are there improved versions of PCA in R that
Hi all,
I found that the PCA gave chaotic results when there are big changes in a
few data points.
Are there improved versions of PCA in R that can help with this problem?
Please give me some pointers...
Thank you!
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Michael:
On Thu, Apr 19, 2012 at 9:20 PM, Michael comtech@gmail.com wrote:
Hi all,
I found that the PCA gave chaotic results when there are big changes in a
few data points.
Yup.
Are there improved versions of PCA in R that can help with this problem?
Yup.
Consult the Robust task view
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