On Thu, 2009-03-05 at 02:20 +0000, Ben Bolker wrote: > Sueli Rodrigues <srodrigu <at> esalq.usp.br> writes: > > > > Olá. Tenho um arquivo que a cada 6 linhas corresponde uma amostra da qual > > preciso dos coeficientes da regressão linear. Como faço para que o > > programa distinga a cada 6 linhas como uma amostra e não calcule como um > > todo? > > Estou usando a função: model=lm(y ~ x) > > > > You're more likely to get a response if you post to the list > in English (even fractured English). > > Based on what Google translator thinks you said (you want > to perform linear regressions on 6-line subsets of a data set?), > here's a starting point (assuming your data are in a data frame > mydata, and have column names x and y): > > splitdat <- split(mydata,rep(1:6,length.out=nrow(mydata)) > linfits <- lapply(splitdata,lm,formula=y~x) > coefs <- sapply(linfits,coef) > > or something like that. > > Ben Bolker
Hi Ben Bolker First of all I would like to thank the kindness with my countrywoman. Second in her problem each 6 rows is a subset for a linear regression so the command is splitdat <- split(mydata,rep(1:(nrow(mydata)/6),each=6)) -- Bernardo Rangel Tura, M.D,MPH,Ph.D National Institute of Cardiology Brazil ______________________________________________ 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.
