[R] Sampling data without having infinite numbers after diong a transformation

Jeff Newmiller jdnewmil at dcn.davis.CA.us
Tue Dec 25 17:58:12 CET 2012

Perhaps you should read the help file for rnorm more carefully.


Keep in mind that the normal probability distribution is a density function, so the smaller the standard deviation is, the greater the magnitude of the density function is. 
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Sent from my phone. Please excuse my brevity.

Agnes Ayang <agnes.ayang at yahoo.com> wrote:

>Hello R-helpers..
>I want to ask about how I can sample data sets without having the
>infinite numbers coming out. For example,
>After come out with the sample, I need to do a transformation  (by
>Hoaglin, 1985) for each data set. Actually I need to measure the
>skewness and kurtosis, that's why I need to do the transformation.
>After transformation, there will be 'Inf' value in my data sets and I
>cannot proceed with the next step where I need to compute the trimmed
>mean and sum square of deviation.
>If anyone can help on how to obtain a better data sets so that my
>programme will work. Thank you.
>Best regards,
>Hyo Min
>UPM Malaysia
>	[[alternative HTML version deleted]]
>R-help at r-project.org mailing list
>PLEASE do read the posting guide
>and provide commented, minimal, self-contained, reproducible code.

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