Thank you, both work fine. Why is pnorm to prefer?
Nils Matthias Kohl schrieb: > Hi, > > why don't you use pnorm? > E.g., > > pnorm(1, mean = 0.1, sd = 1.2) - pnorm(0, mean = 0.1, sd = 1.2) > > Matthias > > ----- original message -------- > > Subject: Re: [R] Integration + Normal Distribution + Directory Browsing > Processing Questions > Sent: Sun, 21 Jan 2007 > From: Dimitris Rizopoulos<[EMAIL PROTECTED]> > > >> you can use the `...' argument of integrate, e.g., >> >> integrate(dnorm, 0, 1) >> integrate(dnorm, 0, 1, mean = 0.1) >> integrate(dnorm, 0, 1, mean = 0.1, sd = 1.2) >> >> look at ?integrate for more info. >> >> I hope it helps. >> >> Best, >> Dimitris >> >> ---- >> Dimitris Rizopoulos >> Ph.D. Student >> Biostatistical Centre >> School of Public Health >> Catholic University of Leuven >> >> Address: Kapucijnenvoer 35, Leuven, Belgium >> Tel: +32/(0)16/336899 >> Fax: +32/(0)16/337015 >> Web: http://med.kuleuven.be/biostat/ >> http://www.student.kuleuven.be/~m0390867/dimitris.htm >> >> >> Quoting Nils Hoeller <[EMAIL PROTECTED]>: >> >> >>> Hi everyone, >>> >>> I am new to R, but it's really great and helped me a lot! >>> >>> But now I have 2 questions. It would be great, if someone can help me: >>> >>> 1. I want to integrate a normal distribution, given a median and sd. >>> The integrate function works great BUT the first argument has to be a >>> function >>> >>> so I do integrate(dnorm,0,1) and it works with standard m. and sd. >>> >>> But I have the m and sd given. >>> >>> So for fixed m and sd I work around with a new function mynorm >>> >>> mynorm <- function(n) { >>> ret <- dnorm(n,0.6,0.15) >>> ret >>> } >>> >>> for example. >>> >>> BUT what can I do for dynamic m and sd? >>> I want something like integrate(dnorm(,0.6,0.15),0,1), with the first >>> dnorm parameter open for the >>> integration but fixed m and sd. >>> >>> I hope you can help me. >>> >>> 2. I am working with textfiles with rows of measure data. >>> read.table("file") works fine. >>> >>> Now I want R to read.table all files within a given directory and >>> process them one by the other. >>> >>> for(all files in dir xy) { >>> x <- read.table(nextfile) >>> process x >>> } >>> >>> Is that possible with R? I hope so. Can anyone give me a link to >>> >> examples. >> >>> Thanks for your help >>> >>> Nils >>> >>> ______________________________________________ >>> [email protected] 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. >>> >>> >>> >> >> Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm >> >> ______________________________________________ >> [email protected] 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. >> >> > > --- original message end ---- > > > -- > Dr. rer. nat. Matthias Kohl > [EMAIL PROTECTED] > www.stamats.de > > ______________________________________________ [email protected] 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.
