similar to: manipulating longitudinal data in r

I can't get the PERL subexpression translated to R. Following, for example, B. Ripley's http://finzi.psych.upenn.edu/R/Rhelp02a/archive/58984.html I am using sub, but it looks like an ugly substitute. Assume I want to extract the first alpha part and the first numeric part, but only if they are in sequence. Do I really have to use the sub twice, first extracting the first variable, then

Dear R-users! I am using R 1.7.0, under Windows XP. Having some hospital discharge data (admission date and discharge date for each patient), I want to get the number of patients in the hospital on a given date. My data look like (simple example): > x <- data.frame(patid=c("pat1", "pat2"), adm.date = c("15.03.2002", "16.03.2002"),

I was wondering if someone can help me figure out the following: I have two patient datasets, ds1 and ds2. ds1 has fields "patid", "date", and "lab1". ds2 has "patid", "date", and "lab2". I want to find all the patids that have at least 2 dated records for each lab. I started by splitting each dataset by patid, to create ds1.list

I have a dataframe that contains fields such as patid, labdate, labvalue. The same patid may show up in multiple rows because of lab measurements on multiple days. Is there a simple way to obtain just the first and last record for each patient, or do I need to write some code that performs that. Thanks, Steven

Dear R-help, Can anyone explain the meaning of the warning, Singular precision matrix in level -1, block 1 ? Or how to track down where it comes from? More precisely, using the nlme package, I'm issued with the warning itt2 <- lme(lrna~rx.nrti+lbrna, random=~1|patid, cor=corExp(form=~days|patid,nugget=T), weights=varPower( form=~lbrna),data=rna3) Warning messages: 1: Singular

Hello, I'm new to R but wan't to use it to compute the statistics of my medical study. The study includes several parameters for a number of patients. Each parameter was assessed by a number of readers, once with a special condition, once without. Now I have a data.frame with colums like: PatientID, ReaderID, SpecialCond(yes/no), Parameter1, Parameter2..... the rows are not sorted, and

I've got a big data.frame from which I need to extract data based on a variable number of Id's (InfCode). Until now I've been using the following dull solution as I never needed to search for more than 5 codes. Now my needs have increased faster than my R skills did and I need to call my function with about 25 values for x. There has to be a *apply or even simpler solution which

Hi, Is there an easy way to remove dataframe rows without duplicated values of a specified column ('id')? e.g., dat <- data.frame(id = c(1,1,1,2,3,3), value = c(5,6,7,4,5,4), value2 = c(1,4,3,3,4,3)) dat id value value2 1 1 5 1 2 1 6 4 3 1 7 3 4 2 4 3 5 3 5 4 6 3 4 3 This is sample data and the real data has hundreds of

I have installed the binary packages for Debian GNU/Linux release 2.3 (woody) in the U.S. mirror of the CRAN archive. They should propagate to the main CRAN archive within a day and to the other mirrors within two days. These packages have been compiled with gcc-3.0 and g77-3.0. I believe the testing distribution currently provides only a snapshot of gcc-3.0, not the latest released version, so

I have installed the binary packages for Debian GNU/Linux release 2.3 (woody) in the U.S. mirror of the CRAN archive. They should propagate to the main CRAN archive within a day and to the other mirrors within two days. These packages have been compiled with gcc-3.0 and g77-3.0. I believe the testing distribution currently provides only a snapshot of gcc-3.0, not the latest released version, so

We use rsync in a Linux installation script. First, the root filesystem of another machine on the network is cloned with "rsync -axzH", and then a few files are updated to give the clone its own identity. This works fine, but last week, the Postfix mailer daemon on a new machine refused to start because some lock files had a link count of 2. It turned out that rsync had created two

Hi list! I have a large matrix which I'd like to partition into blocks and for each block I'd like to compute the mean. Following a example where each letter marks a block of the partition: a a a d g g a a a d g g a a a d g g b b b e h h b b b e h h c c c f i i I'm only interested in the resulting matrix of means. How can this be done efficiently?

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Hi Sunmanagers I still have a problem with my samba printing mechanism. When I log on some windows machines it will not print. I have found out that when I print from some machines while the print queu is stopped then the jobs are saved there as root. When I print from other machines they are saved as my name. I can print from dos by using echo something > \\server\printer. I can print with

We're running a PIII550, 128 MB, 3com 3c905b-TX with SuSE Linux 6.3; Kernel 2.2.14 (see file kernelconfig) and Samba 2.0.6 as PDC & Fileserver in a hospital. Now we got the following error: Feb 18 14:39:54 file kernel: Unable to handle kernel paging request at virtual address 00110004 Feb 18 14:39:54 file kernel: current->tss.cr3 = 040ab000, %cr3 = 040ab000 Feb 18 14:39:54 file kernel:

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++