I have a continuous data. So to calculate the inverse normal transformation, I thought that I should first calculate the Z-score normalized data and then, calculate the p-value et the quantile transformation. Does this seem to be more sensible
my_data.p =2*pnorm(abs(scale(my_data)),lower.tail=FALSE) my_data.q= qnorm(my_data.p) The attached file shows the histogram of a small data set before transformation, the p-value generated from the Z-score normalized data and then, the qnorm-transformed data. Thanks for your feedback, ________________________________ From: Duncan Murdoch <murdoch.dun...@gmail.com> To: carol white <wht_...@yahoo.com> Cc: "r-h...@stat.math.ethz.ch" <r-h...@stat.math.ethz.ch> Sent: Friday, July 20, 2012 1:42 PM Subject: Re: [R] function for inverse normal transformation On 12-07-20 7:36 AM, carol white wrote: > Thanks for your reply. > > So to derive it from a given data set, is the following correct to do? > > my_data.p =2*pnorm(abs(my_data),lower.tail=FALSE) > > my_data.q = qnorm(my_data.p) I don't know what you're trying to do, but that doesn't look like it does something sensible. It would take a value like 2, compute the p to be 0.045, and return the corresponding quantile of the normal distribution, i.e. -1.69 or so. I don't know why you'd want to do that. Duncan Murdoch > > Cheers, > > > ________________________________ > From: Duncan Murdoch <murdoch.dun...@gmail.com> > To: carol white <wht_...@yahoo.com> > Cc: "r-h...@stat.math.ethz.ch" <r-h...@stat.math.ethz.ch> > Sent: Friday, July 20, 2012 1:23 PM > Subject: Re: [R] function for inverse normal transformation > > On 12-07-20 6:21 AM, carol white wrote: >> Hi, >> What is the function for inverse normal transformation? > > qnorm > > Duncan Murdoch > >> Thanks, >> >> Carol >> >> [[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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______________________________________________ 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.
