search for: 67006

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2006 Mar 01
1
Book: Multilevel Modeling in R ETA?
Hi R folks (Dr. Bates in particular), In August 2005, Dr. Bates mentioned that the documentation for lme4 "will be in the form of a book with the working title 'Multilevel Modeling in R'" and I'm just wondering if there is an estimated date of publication or if it's still a long way off. The Rnews article does a great job of introducing the package, but I'm
2006 Jun 12
1
cumulative time durations of specified periods (chron)
Hi, Say we have two chron vectors representing start and end date/times of an event, respectively: R> (xfrom <- chron(seq(1.25, 11, 3.25))) [1] (01/02/70 06:00:00) (01/05/70 12:00:00) (01/08/70 18:00:00) [4] (01/12/70 00:00:00) R> (xto <- chron(as.numeric(xfrom) + seq(1.5, 2.25, 0.25))) [1] (01/03/70 18:00:00) (01/07/70 06:00:00) (01/10/70 18:00:00) [4] (01/14/70 06:00:00) and we
2006 Jul 06
1
which data structure for a set of time series ?
Hello, I'm a R newcomer and I'm wondering the kind of data structure that would best fit to my problem: my data are equities (stocks) : so I have a time serie (say 1 year of weekly data), and a bunch of qualitative + quantitative variables : the sector of the stock (biotech/finance...), the geographical region, the name, ISIN code, P/E ratios, whatever... The data.frame is perfect for the
2006 Mar 08
1
Mixed GLM methodology and execution question
Hi all, I have a question regarding how to properly analyze a data set and then how to perform the analysis in R. First, I have data that I would like to analyze using a mixed GLM (I think this is the most appropriate method, but I am unsure). In a mixed model (y = X*beta+Z*gamma+epsilon), I would like to structure the variance matrices of gamma, G, and the error, R, to take advantage of all my
2006 Jun 09
1
date.mdy in date package
I'm having a problem with output from date.mdy in the date package. Goal: to take a long vector of dates of the form "01/22/99" and extract values month="01", day="22", year="1999". I am providing the vector of class dates in the attached file to date.mdy: > mdy_dates<-date.mdy(trimmed_dates) The first few obs of the
2006 Jun 08
2
nested mixed-effect model: variance components
Dear listers, I am trying to assess variance components for a nested, mixed-effects model. I think I got an answer that make sense from R, but I have a warning message and I wanted to check that what I am looking at is actually what I need: my data are organized as transects within stations, stations within habitats, habitats within lagoons. lagoons: random, habitats: fixed the question is: