[R] Normalization and missing values

[Wensui Liu]

before I know the scale() function, I just do it by coding it myself.
But probably you could find some cool stuffs in dprep library. I've
never tried it anyway.

for missing values, it is way more complex and also depends on the
methodology you are going to use. some methods are more tolerant to
missing values but others aren't. So the short answer is that there is
no BEST way.

On 4/13/05, Chris Bergstresser <chris at subtlety.com> wrote:
> Hi all --
> 
>     I've got a large dataset which consists of a bunch of different
> scales, and I'm preparing to perform a cluster analysis.  I need to
> normalize the data so I can calculate the difference matrix.
>     First, I didn't see a function in R which does normalization -- did
> I miss it?  What's the best way to do it?
>     Second, what's the best way to deal with missing values?  Obviously,
> I could just set them to 0 (the mean of the normalized scales), but I'm
> not sure that's the best way.
> 
> -- Chris
> 
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-- 
WenSui Liu, MS MA
Senior Decision Support Analyst
Division of Health Policy and Clinical Effectiveness
Cincinnati Children Hospital Medical Center