nder complex
sampling. Biometrika, 100, 831-842.
-thomas
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Professor of Biostatistics
University of Auckland
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gt; $Px
> [1] 4 10 10 8
>
> $tailleP
> [1] 4
>
> $res
> [1] 4 0 0 0
>
> I haven't problem in "essai" function but I can't correctly return "Px"
> vector.
> I d'ont understand why I get only the first number (number 4 in my exemp
No, you can't (at the moment), though it shouldn't be too hard to extend.
I can't run your example, though. I get:
Error in eval(expr, envir, enclos) : object 'M' not found
-thomas
Thomas Lumley
Professor of Biostatistics
University of Auckland
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Ben
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Regards,
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s, and then give them a value, for example:
vect = c(10:20)
for (i in 1:10) {
cat(paste("VAR",i,sep="")) = vect[i]
}
This is almost a candidate for a FAQ: see
It *is* FAQ 7.21.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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and provide commented, minimal, self-contained, reproducible code.
Thomas Lumley Assoc. Professor, Biostatistics
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nimal, self-contained, reproducible code.
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PLEASE do r
od reference for such things as "PSUs",
"cluster
sampling", and so on.
--
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.
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sure of the current status of
the HDF5 support in Bioconductor, though.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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_
Woodman
str(EBSurvey$NumStn)
Factor w/ 12 levels "1","2","3","4",..: 10 12 4 12 8 1 8 8 12 4 ...
EBSurvey$NumStn[1:5]
[1] 10 12 4 12 8
Levels: 1 2 3 4 5 6 7 8 9 10 11 12
str(ByEBNum$StnTraveld)
Factor w/ 12 levels "1","10","11",..: 1 5 6 7 8 9 10 11 12 2 ...
ByEBNum$StnTraveld[1:5]
[1] 1 2 3 4 5
Levels: 1 10 11 12 2 3 4 5 6 7 8 9
***
der results
of a query as you read them:
SELECT foo, bar FROM table_name ORDER BY baz
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
[EMAIL PROTECTED] University of Washington, Seattle
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On Mon, 25 Aug 2008, Jorge Ivan Velez wrote:
My problem is that I don't have the raw data as rmeta _requires_ and, even
when I have my data set in the _same_ (?) format that summary(a), when I
tried plot(mydata) it doesn't work.
No, it doesn't _require_ that.
If you just want a forest plot the
.
dbClearResult
-thomas
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;,"2","3","4",..: 10 12 4 12 8 1 8 8 12 4 ...
EBSurvey$NumStn[1:5]
[1] 10 12 4 12 8
Levels: 1 2 3 4 5 6 7 8 9 10 11 12
str(ByEBNum$StnTraveld)
int [1:12] 1 2 3 4 5 6 7 8 9 10 ...
ByEBNum$StnTraveld[1:5]
[1] 1 2 3 4 5
*
quot;Balboa","De Soto",..: 11 2 5 8 6 1 12 7 10 13 ...
all(levels(EBSurvey$lineon)==StnName)
[1] TRUE
#
str(EBDesign$NumStn)
NULL
str(EBSurvey$NumStn)
Factor w/ 12 levels "1","2","3","4",..: 10 12 4 12 8 1 8 8 12 4 ...
str(ByEBNum$StnTraveld)
Factor w/ 12 levels "1","2","3","4",..: 1 2 3 4 5 6 7 8
p level in your package. The superassignments would then modify that
variable.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
[EMAIL PROTECTED] University of Washington, Seattle
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ction
and sends it to the screen.
The R
sink("analysis.log",split=TRUE)
is almost identical to the Stata
log using analysis.log
with sink() to close the log and flush to disk at the end of the session.
-thomas
Thomas Lumley Assoc. Professor, Biostatis
l use more than the object size for the data
set, because it makes temporary copies of things.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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ost texts and some other programs would lead one to believe."
If SPSS and R are fitting the same factor analysis model you can compare the fitted likelihood to see
which package has found a better solution.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
t
al, just equal, so
identical(length(x), 1) is FALSE and length(x)==1 is TRUE.
identical(length(x), 1L) should be TRUE, since 1L is the way to specify an
integer value of 1.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniver
do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
ead the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Thomas Lumley Assoc. Professor, Biostatistics
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_
etimes used for quite
large m and n.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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ou really don't need deriv() to differentiate a polynomial, and so
you can use ordinary lexical scope rather than substitution, for a much tidier
answer
derivative <- function(coef){
function(x) coef[2]+x*(2*coef[3]+x*3*coef[4])
}
-thomas
Thomas Lumley A
ame and 1 to the number of entries if dat is a
matrix, not from 1 to the number of rows.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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On Thu, 11 Feb 2010, Christian Hennig wrote:
>It is well know that hierarchical methods are problematic with too large
>dissimilarity matrices; even if you resolve the memory problem, the number of
>operations required is enormous.
There is at least one exception to this. Single-linkage hierar
. Either you specified a different model or different tests for the same
model in the two systems, or you are interpreting the output incorrectly, or
the results are different.
Without more detail it is hard to be sure, but the first two possibilities seem
more likely.
-thomas
Thomas Lumley
riods, due to daylight saving
time: 0.958 is 23/24.
Would you just round off?
Yes, or use as.Date() if you only want to consider whole days
R> as.Date('2004-08-05')-as.Date('2001-01-03')
Time difference of 1310 days
-thomas
Thomas Lumley
". Thanks,
quote("Average PM"[10]) or quote(Average~PM[10]) seem to work. There is an
example of the first style in ?plotmath.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
algorithms that scale slower than linearly in the
sample size will get very painful.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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their SEs be computed for
subgroups?
You can also use subset(), which is what svyby() does internally
svyquantile(~api00, quantile=c(0.25,0.5,0.75), subset(dclus1, stype=="E"))
0.25 0.5 0.75
api00 553 652 729
-thomas
Thomas Lumley Assoc.
to create a model frame that will contain the variables in the formula, and
columns `(ftime)` and `(fstatus)` for the other arguments.
If you use formulas for ftime and fstatus you would have to call model.frame()
multiple times, which is a bit more work. You would also need to use
na.action=na.pa
.
The rewards are also pretty minimal: the gratitude of the ASA and possibly of
the speakers.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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s
you a string with code in it, the only way to parse it is with parse().
The problem with eval(parse()) is when people use it to do macro processing or
other things that are much better done with expressions.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum
On Wed, 10 Mar 2010, Henrique Dallazuanna wrote:
On Wed, Mar 10, 2010 at 7:50 PM, Thomas Lumley wrote:
On Wed, 10 Mar 2010, baptiste auguie wrote:
Hi,
it's generally considered a bad practice but try this,
eval(parse(text=AA))
library(fortunes)
fortune(106)
HTH,
baptiste
On 10
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istinfo/r-help
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tlum...@u.washington.eduUniversity of Washington, Seattle
at a function is desired. I think this
has also been true in S-PLUS for a long time, but I'm not completely sure.
There are just a few places where problems can occur, such as do.call() with an
unquoted function name, where a user-defined variable can get in the way.
-thomas
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Based just on R itself a longer update delay might be ok, but CRAN doesn't
supply binaries of new or updated packages for old versions of R. Many packages
will become seriously outdated much faster than base R.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum
read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
that
your definition loses in the no-intercept case.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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worse in terms of memory than using read.dta, although it
does provide the possibility of reading the data in chunks.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Se
h
of these least squares fits to a data set that was too big to fit in memory.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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in memory. Stata's -compress- option just chooses smaller data types, eg,
byte instead of integer.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
__
R-he
=
TRUE the value is 256 times the error code returned by the command, and if wait
= FALSE it is 0 (the conventional success value).
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
__
On Wed, 8 Jul 2009, David Hugh-Jones wrote:
Hello all
I'm moving back and forth between stata and R at the moment - of course,
using R whenever possible :-)
I'm running conditional logits on some panel data and I get slightly
different results and different N in the two programs.
That's prob
solve?
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www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Thomas Lumley Assoc. Professor, Biostatistics
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ed posters, and other
aspects of the program are also welcome, though less urgent. For suggestions on
topics other than statistical computing, you can find the rest of the Program
Committee at
http://www.amstat.org/meetings/jsm/2010/index.cfm?fuseaction=program
-thomas
f ways to draw PPS
samples without replacement.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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bute of the result.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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PLEASE do rea
the nearly ten years I've been saying it.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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"a guide to analysis using R", and you get what it says on the tin.
You might look at the 'sampling' package, which has techniques for taking
samples and which is used in some simulations in the book.
-thomas
Thomas Lumley Assoc. Professor, Biostatist
On Mon, 29 Mar 2010, Gabor Grothendieck wrote:
On Mon, Mar 29, 2010 at 4:12 PM, Thomas Lumley wrote:
On Sun, 28 Mar 2010, kMan wrote:
This was *very* useful for me when I dealt with a 1.5Gb text file
http://www.csc.fi/sivut/atcsc/arkisto/atcsc3_2007/ohjelmistot_html/R_and_la
rge_data
f working with raw
text files is something more than mere prescription.
Sincerely,
KeithC.
-Original Message-
From: Thomas Lumley [mailto:tlum...@u.washington.edu]
Sent: Monday, March 29, 2010 2:56 PM
To: Gabor Grothendieck
Cc: kMan; r-help; n.via...@libero.it
Subject: Re: [R] large dataset
On
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85, 13.77, 295.17, 191.54, 126.44, 84.83)
?
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m.
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would have thought Linux virtualization would be the
most straightforward approach to using R.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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enetics Institute
d.campb...@ucl.ac.uk
Tel. ext. 020 31084006, int. 54006
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s reserved use in the language.
--
Stuart Luppescu
University of Chicago
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as to be off by at least 1, no matter how high the numerical precision.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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sometime people like me a bit confused!
Regards,
Cheba
2010/4/6 Thomas Lumley
None of them.
- mood.test() looks promising until you read the help page and
see that it does not do Mood's test for equality of quantiles,
it does Mood's test for equality of scale para
be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher
Indeed.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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to sampling probability).
Also, how did you do the sampling? It's quite hard to do unequal probability
sampling without replacement (the R sample() function doesn't actually do it,
though the sampling package does).
-thomas
Thomas Lumley Assoc. Professor, Biost
been stripped off by the mailing list.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
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ovide commented, minimal, self-contained, reproducible code.
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from a unique normal
distribution, and only one normality test on the residuals is necessary (no
need for a loop).
Or, as some of us would say, *no* normality test on the residuals is necessary,
which is even simpler.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
quasilikelihood chapter in McCullagh and Nelder, where the observations are
the proportion of damage on a set of leaves.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
lock at a time. Etc.
Duncan Murdoch
Best,
Matt
--
Matthew C Keller
Asst. Professor of Psychology
University of Colorado at Boulder
www.matthewckeller.com
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Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity
MMP)
325 9th Avenue, 2HH-15
Box 359911
Seattle, WA 98104?
206-897-4210
http://www.chammp.org
(Thurs)
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ith your graph. If I do
points(x1,fitted(nlmod),col="red")
I get points that are on the horizontal line segment, but then go through the
data nicely on the right.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUnive
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Now, the deviance returned by svyglm() is scaled to the sample size, so if the
survey design isn't informative it should be more or less in the same ballpark
as a deviance from an independent sample, and the usual BIC calculation might
give somewhat helpful results.
-thomas
Tho
mpled data, then applying the same
formula to svyglm() output will give a reasonable approximation to the same
thing, but I wouldn't put much weight in small differences.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversit
PPS designs without replacement
There is also experimental support for parallel processing using the
'multicore' package.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washingto
cluding in R)
written in Fortran.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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beyond 15. Is there some way to
have the plot command
>respect the requested ylim and xlim settings?
par(xaxs="i",yaxs="i")
plot(c(1,1), ylim=c(0, 15), xlim=c(0, 13))
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.e
alues.
Because their purpose in life is to be smoothed against time to get an estimate
of the parameter as a function of time (plot.cox.zph).
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Se
, otherwise it is the captured
output.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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create a vector of small primes and use
my_array %in% smallprimes.
For example, the first 1000 primes are at
http://primes.utm.edu/lists/small/1000.txt
and the first 1 are on the same site.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum
, self-contained, reproducible code.
David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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(Surv(Age,Died) ~ Rx, data = GVHDdata),lty=c(1,2),lwd=2)
,col=c("tomato","goldenrod")
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
___
45F clas 03:46:15
645F free 02:20:15
745H clas 02:30:07
845H free 01:59:36
938F clas 02:43:17
10 38F free 02:24:46
Lines 9 and 1 appear to be the same in meil2, as do 2 and 10. If the 16 rows
consist of two repeats of 8 rows that would expla
On Sun, 10 May 2009, John Sorkin wrote:
R 2.8.1
Windows XP
I am trying to plot the results of a coxph using plot(survfit()). The plot
should, I believe, show two lines one for survival in each of two treatment
(Drug) groups, however my plot shows only one line. What am I doing wrong?
Expect
I would use cox.zph() and plot.cox.zph(), which give valid
formal tests and reasonable estimates of how the log hazard ratio varies with
time. Still, if you want to do log-log plots, the survival package is up to
the task.
-thomas
Thomas Lumley Assoc. Professor, Biosta
and binom.test() gives an exact confidence
interval.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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iance matrices for any of the best models.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.eduUniversity of Washington, Seattle
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;).
epi.studysize(,method="cohort") doesn't seem exactly appropriate, since
judging from the example on the help page the inputs are supposed to be
cumulative incidence rather than probabilities.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum..
alienetworks.com/srtest.cfm
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