[R] data transformation

[Jeff Newmiller]

There is no "perhaps" about it. Nonsense phrases like "similar to logit, where I dont [sic] lose normality of the data" that lead into off-topic discussions of why one introduces transformations in the first place are perfect examples of why questions like this belong on a statistical theory discussion forum like StackExchange rather than here where the topic is the R language.

On January 20, 2019 6:02:15 AM PST, Adrian Johnson <oriolebaltimore using gmail.com> wrote:
>Dear group,
>My question, perhaps is more of a statistical question using R
>I have a data matrix ( 400 x 400 normally distributed) with data
>points ranging from -1 to +1..
>For certain clustering algorithms, I suspect the tight data range is
>not helping resolving the clusters.
>
>Is there a way to transform the data something similar to logit, where
>I dont lose normality of the data and yet I can better expand the data
>ranges.
>
>Thanks
>Adrian
>
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-- 
Sent from my phone. Please excuse my brevity.