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 "NA"s, it will give this warning...
It seems that there is a bug in this code...
Is it reliable at all?
---------------------
> robustPcafunction (Matrix, nPcs = 2, verbose = interactive(), ...)
{
nas <- is.na(Matrix)
if (!any(nas) & verbose) {
cat("Input data is not complete.\n")
cat("Scores, R2 and R2cum may be inaccurate, handle with care\n")
}
On Fri, Apr 20, 2012 at 9:58 AM, Kevin Wright <kw.s...@gmail.com> wrote:
> 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 can help with this problem?
>>
>> Please give me some pointers...
>>
>> Thank you!
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
> Kevin Wright
>
>
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