Many thanks to you both. I have now filed away for future reference the 2
factor tapply as well as the extremely useful looking plyr library. And the
code worked beautifully :-)
On 24 Aug 2010, at 19:47, "Abhijit Dasgupta, PhD"
wrote:
> The paste-y argument is my usual trick in these situat
The paste-y argument is my usual trick in these situations. I forget
that tapply can take multiple ordering arguments :)
Abhijit
On 08/24/2010 02:17 PM, David Winsemius wrote:
On Aug 24, 2010, at 1:59 PM, Abhijit Dasgupta, PhD wrote:
The only problem with this is that Chris's unique individu
On Aug 24, 2010, at 1:59 PM, Abhijit Dasgupta, PhD wrote:
The only problem with this is that Chris's unique individuals are a
combination of Type and ID, as I understand it. So Type=A, ID=1 is a
different individual from Type=B,ID=1. So we need to create a unique
identifier per person, sim
The only problem with this is that Chris's unique individuals are a
combination of Type and ID, as I understand it. So Type=A, ID=1 is a
different individual from Type=B,ID=1. So we need to create a unique
identifier per person, simplistically by uniqueID=paste(Type, ID,
sep=''). Then, using th
An answer to 1)
> x = data.frame(Type=c('A','A','B','B'), ID=c(1,1,3,1), Date =
c('16/09/2010','23/09/2010','18/8/2010','13/5/2010'), Value=c(8,9,7,6))
> x
Type ID Date Value
1A 1 16/09/2010 8
2A 1 23/09/2010 9
3B 3 18/8/2010 7
4B 1 13/5/2010 6
> x$
On Aug 24, 2010, at 1:19 PM, Chris Beeley wrote:
Hello-
A basic question which has nonetheless floored me entirely. I have a
dataset which looks like this:
Type ID DateValue
A 116/09/2020 8
A 1 23/09/2010 9
B 3 18/8/20107
B
Hello-
A basic question which has nonetheless floored me entirely. I have a
dataset which looks like this:
Type ID DateValue
A 116/09/2020 8
A 1 23/09/2010 9
B 3 18/8/20107
B 1 13/5/20106
There are two Types, whi
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