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.
Agnes Ayang <agnes.ay...@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]]
>
>______________________________________________
>R-help@r-project.org mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
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and provide commented, minimal, self-contained, reproducible code.
