R help - Dec 2012 - Sampling data without having infinite numbers after diong a transformation

Hello R-helpers..

I want to ask about how I can sample data sets without having the infinite
numbers coming out. For example,

set.seed(1234)

a<-rnorm(15,0,1)
b<-rnorm(15,0,1)
c<-rnorm(15,0,1)
d<-rnorm(15,0,36)

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]]

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

?rnorm

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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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,
>
>set.seed(1234)
>
>a<-rnorm(15,0,1)
>b<-rnorm(15,0,1)
>c<-rnorm(15,0,1)
>d<-rnorm(15,0,36)
>
>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]]
>
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