Hello,
I have a data set with many individuals all with multiple timed
observations, and I would like to subset the data to exclude later timed
observations.
However, I would like to exclude different amounts of data for each
individual. These individuals have two types of data: DV and dose. What
Hello,
I am branching out to xyplot for the first time, and I want to layer
several complex xyplots. I have tried using panel functions, but so far I
lose all complexity from the scatterplot. I would like to have the
following things in the plot:
1) A plot of observation vs. modeled individual
Hello, I'm trying to take a PPS systematic sample of a data set, and I've
gotten stuck at the last point. I have selection numbers, and just need to
pick out the units whose cumulative size are the least upper bounds of
these numbers
This is as close as I've gotten:
selected-array(dim=c(97,4))
:
Hello,
I guess so, and I can save you some typing.
vars - sort(apply(expand.grid(L, 1:8, 1:2), 1, paste, collapse=))
Then use it and see the result.
Rui Barradas
Em 20-07-2012 00:00, Lib Gray escreveu:
The variables are actually L11, L12, L21, L22, ... , L81, L82. Would just
]
and after the grep print nms to see if it's right.
Rui Barradas
Em 20-07-2012 00:33, Lib Gray escreveu:
I'm getting this error message:
nms-names(data)[grep(vars,**names(data))]
Warning message:
In grep(vars, names(data)) :
argument 'pattern' has length 1 and only the first element
Hello,
I didn't give enough information when I sent an query before, so I'm trying
again with a more detailed explanation:
In this data set, each patient has a different number of measured variables
(they represent tumors, so some people had 2 tumors, some had 5, etc). The
problem I have is that
Hello, I need to subset my data to only look at the parts that have holes
in it. I already have a formula to get rid of inconsistencies, but now I
need to look only at the problem data to reconfigure it. In my data set
where there are multiple cycles per patient, and I want to highlight
the
Hello, I have a data set where there are multiple cycles per patient,
and I want to exclude from my data set instances where a variable was not
measured every cycle. The difficulty is that the patients have different
cycles; some have cycles 1,2, and 3, others only have 1 and 3 (and
everything in
Yes, except that patients have different cycle numbers. Such as, one might
have cycle 1,2,3, and another has 1,4,12.
On Jun 6, 2012 12:54 PM, arun smartpink...@yahoo.com wrote:
Hi Iglucia,
I am not sure how your dataset looks like. Does it look similar to this:
, I assume that cycle will be in the dataset on the
longformat and its value as NA.
A.K.
From: Lib Gray libgray3...@gmail.com
To: arun smartpink...@yahoo.com
Cc: R help r-help@r-project.org
Sent: Wednesday, June 6, 2012 2:28 PM
Subject: Re: [R] Combine
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