1
#2 1 0 0 0 0
#3 0 0 1 0 1
#4 0 1 0 0 0
identical(dat1,dat2)
#[1] TRUE
A.K.
- Original Message -
From: bibek sharma
To: arun
Cc:
Sent: Monday, February 4, 2013 12:54 PM
Subject: Re: [R] longitudinal study
Dear Arun,
I have a data set with dim 1200 by 56 where the var
2 2 yes 5
#3 3 Unknown 4
A.K.
- Original Message -
From: Rich Shepard
To: R help
Cc:
Sent: Friday, January 18, 2013 12:18 PM
Subject: Re: [R] longitudinal study
On Fri, 18 Jan 2013, bibek sharma wrote:
> I have a data set from a longitudinal study ( sample below) where
On Fri, 18 Jan 2013, bibek sharma wrote:
I have a data set from a longitudinal study ( sample below) where subjects
are followed over time. Second column (status) contains info about if
subject is dead or still in the study and third column is time measured in
the week. Here is what I need: if s
Hello R user,
I have a data set from a longitudinal study ( sample below) where
subjects are followed over time. Second column (status) contains info
about if subject is dead or still in the study and third column is
time measured in the week. Here is what I need: if status is not dead
or unknown
Hi,
I am comparing three treatments. The data come from a longitudinal study,
and for each treatment I have only 1 case, on which the observations across
20 years are made. My main aim is to compare the three treatments, but the
effect of time is of interest as well. Which of the many R functions
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