t(fmt, domain = domain), ...) :
argument is missing, with no default
The first part of the procedure seemed to work, then came page after
page of error messages. Can someone tell me what is going on here and
how I can fix the problem? I found a similar report
ant
-
On Sep 4, 2008, at 2:59 PM, Prof Brian Ripley wrote:
Try another mirror: this is not the first time we've seen problems
at www.ibiblio.org.
On Thu, 4 Sep 2008, Brant Inman wrote:
R-helpers:
I just updated from R 7.0 to R 7.2.2 today. I am using MAC OS X
version
he problems in rows 15, 21, 37 and 43. They should read [0.5, 45.5],
[14.5, 21.5], etc... The matrix function seems to be rounding the second
column up to the next integer. Why would this occur? Can I do something to
prevent this?
I would very much appreciate any comments.
Thanks,
Bran
*As usual, the R-helpers were bang on. Some package must have modified my
digits option without me noticing.*
**
*--*
**
*> test <- matrix(c(7,47,4,38,20,96,1,14,10,48,2,101,12,161,
+ 1,28,1,19,22,49,25,162,31,200,9,39,22,193,
+ 0.5,45.5,31,131,4,75,31,220,7,55,3,91,14.5,
+ 25.5,3,
quot;, i, sep="") <- input.value[i]
}
Of course this loop will not work since the paste function returns a
character string that cannot be a variable. How can I construct a loop to
create sequential variables and assign a value to them in the same spirit of
the loop above?
Brant Inman
Mayo Cli
as a predictor in
the fake model in fit1 (stage being represented by the 3 dummy
variables stage2, stage3 and stage4), would the LR test calculated in
the last line of code be valid? Given the pseudolikelihood used in
the crr fit, I am not sure if this is a valid statistical test.
Thanks for any c
pointed out my
error with models f3 and f4 and why they do not seem to be correct.
Incidentally, other sources (ex: Egger/Altman book on systematic
reviews) report results on this dataset similar to Van Houwelingen, so
I think that my code is definitely the problem.
Thanks,
Brant Inm
rstand why.
Brant
On May 5, 2009, at 11:43 PM, Rolf Turner wrote:
On 6/05/2009, at 3:00 PM, Brant Inman wrote:
R-experts:
In 2002, Hans Van Houwelingen et al. published a tutorial on how to
do
meta-regression in Statistics in Medicine. They used the classic BCG
dataset of Colditz to d
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