figure out what it could mean. Removing
the test=F bit also generates the same behaviour.
Any help greatly appreciated.
Chris Beeley
Institute of Mental Health, UK
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PLEASE
Well that's that cleared up then. Thanks to all.
Chris B.
On 31/05/2012 17:51, Albyn Jones wrote:
No, both yield the same result: reject the null hypothesis,
which always corresponds to the restricted (smaller) model.
albyn
On Thu, May 31, 2012 at 12:47:30PM +0100, Chris Beeley wrote:
Hello
to put them in the right order?
It just seems like if there were say four models you wouldn't
necessarily be able to determine the correct order.
Many thanks,
Chris Beeley, Institute of Mental Health, UK
...session info follows
sessionInfo()
R version 2.15.0 (2012-03-30)
Platform: i386-pc
, 14L, 14L, 14L, 14L, 14L,
13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L)), .Names = c(Incident,
Numbers), row.names = c(NA, 50L), class = data.frame)
Any assistance gratefully recieved.
Many thanks,
Chris Beeley, Institute of Mental Health, UK
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R
this happen to them? If so did
you find a solution (other than manually removing the NAs using a final
piece of code, which admittedly is not too arduous).
Many thanks,
Chris Beeley,
Institute of Mental Health, UK
On 30/03/2012 02:27, Matt Shotwell wrote:
On Wed, 2012-03-28 at 11:40 +0100, Chris
(drew a blank also from RSiteSearch(Nested brew))
Any help gratefully received.
Chris Beeley
Institute of Mental Health, UK
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that generates the NAs when as.numeric(mydata[,2]) doesn't and I'm
not sure what to do about it in future.
I realise I can just loop over the columns, but I would rather get to
the bottom of this if I can so I know for future.
Thanks in advance for any advice
Chris Beeley
Institute of Mental Health, UK
Perfect, many thanks for explanation and correct line of code.
On 09/01/2012 14:29, peter dalgaard wrote:
as.data.frame(lapply(mydata, as.numeric))
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PLEASE do read the
, 0,
0, 0, 0, 0 (because the fifth value is the only one that contains a
2).
Any suggestions gratefully received!
Chris Beeley
Institute of Mental Health, UK
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PLEASE do read
problem.
Using R v2.13 on Windows, v 2.12 on Linux, was using RStudio but just
tested it without (just in case) and it does the same thing.
Any suggestions gratefully received.
Chris Beeley
Institute of Mental Health, UK.
Output of the operation is below.
With this output:
odfWeave(/media
1567
length(comments$ImproveCat[commvec[!is.na(commvec)]]) # yields 1512
I'm sorry, I did try to construct an example dataframe, but ironically
I can't make that work either! Sorry!
Any help gratefully received.
Many thanks!
Chris Beeley
Institute of Mental Health, UK
important, if say I just wanted to
replace the odd columns, or something like that.
I found this code on the internet too:
idx - which(foo80, arr.ind=TRUE)
foo[idx[1], idx[2]] - NA
But I can't seem to rewrite that either, for the same reason
Many thanks!
Chris Beeley
Institute of Mental Health
put it somewhere else and
don't notice the problem.
Many thanks!
Chris Beeley
Institute of Mental Health
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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 aikidasgu...@gmail.com
wrote:
The paste-y argument is my usual
of fiddling I have had to admit defeat.
I would be very grateful for any words of advice.
Many thanks,
Chris Beeley,
Institute of Mental Health, UK
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advice.
Many thanks,
Chris Beeley
(Institute of Mental Health, UK)
structure(list(Location = structure(c(1L, 2L, 2L, 1L, 3L, 5L,
5L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 4L, 4L, 1L, 5L, 5L, 5L, 5L, 6L,
1L, 2L, 3L, 5L, 6L, 6L, 6L, 7L, 7L, 5L, 5L, 4L, 4L, 4L, 3L, 3L,
3L, 2L, 2L, 2L, 2L, 7L, 7L, 7L
, then 23-5-2008 0 0 0 0 again, and etc.
I've had several abortive attempts and done some Googling but have got
nowhere. I'd greatly appreciate any advice.
Many thanks,
Chris Beeley
(Institute of Mental Health, UK)
structure(list(Location = structure(c(1L, 2L, 2L, 1L, 3L, 5L,
5L, 1L, 1L, 2L, 2L, 2L, 3L
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