Sampling data without having infinite numbers after diong a transformation

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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Sent from my phone. Please excuse my brevity.

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

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