On Thu, 5 Apr 2007, John Kane wrote:
> Heck. I'd be happy to get an answer to what is
> happening here:
>> mac <- spss.get("H:/ONTH/Raw.data/Follow.sav")
> Warning message:
> H:/ONTH/Raw.data/Follow.sav: Unrecognized record type
> 7, subtype 16 encountered in system file
>
It means that your file
--- Thomas Lumley <[EMAIL PROTECTED]> wrote:
> On Thu, 5 Apr 2007, John Kane wrote:
> > Heck. I'd be happy to get an answer to what is
> > happening here:
> >> mac <- spss.get("H:/ONTH/Raw.data/Follow.sav")
> > Warning message:
> > H:/ONTH/Raw.data/Follow.sav: Unrecognized record
> type
> > 7, su
--- Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
> On Thu, 5 Apr 2007, Michael Conklin wrote:
>
> > Not being the developer I cannot answer
> definitively but, as a frequent
> > user of SPSS files I can give you my experience.
> >
> > 1) The unrecognized coding is perhaps due to the
> locale of
On Thu, 5 Apr 2007, Michael Conklin wrote:
Not being the developer I cannot answer definitively but, as a frequent
user of SPSS files I can give you my experience.
1) The unrecognized coding is perhaps due to the locale of the SPSS
installation. I have had success reading in files from versio
On Thu, 5 Apr 2007, Michael Conklin wrote:
Not being the developer I cannot answer definitively but, as a frequent
user of SPSS files I can give you my experience.
1) The unrecognized coding is perhaps due to the locale of the SPSS
installation. I have had success reading in files from versio
Hi
Dean Sonneborn <[EMAIL PROTECTED]> napsal dne 10.04.2007 18:28:43:
> Petr,
> This is great! Thank you so much for responding. Could I get one more
> point clarified. My A values range from 1 to 35. I would really like to
> use something like
> AT=1 to 35 by 5 instead of AT=log(a). at=log(
On Thu, 5 Apr 2007, John Kane wrote:
> Heck. I'd be happy to get an answer to what is
> happening here:
>> mac <- spss.get("H:/ONTH/Raw.data/Follow.sav")
> Warning message:
> H:/ONTH/Raw.data/Follow.sav: Unrecognized record type
> 7, subtype 16 encountered in system file
>
It means that your file
--- Thomas Lumley <[EMAIL PROTECTED]> wrote:
> On Thu, 5 Apr 2007, John Kane wrote:
> > Heck. I'd be happy to get an answer to what is
> > happening here:
> >> mac <- spss.get("H:/ONTH/Raw.data/Follow.sav")
> > Warning message:
> > H:/ONTH/Raw.data/Follow.sav: Unrecognized record
> type
> > 7, su
--- Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
> On Thu, 5 Apr 2007, Michael Conklin wrote:
>
> > Not being the developer I cannot answer
> definitively but, as a frequent
> > user of SPSS files I can give you my experience.
> >
> > 1) The unrecognized coding is perhaps due to the
> locale of
I think SAS has the database part built into it. I have heard 2nd hand
of new statisticians going to work for a company and asking if they have
SAS, the reply is "Yes we use SAS for our database, does it do
statistics also?" Also I heard something about SAS is no longer
considered an acronym, the
Greg,
As far as I understand, SAS is more efficient handling large data
probably than S+/R. Do you have any idea why?
On 4/10/07, Greg Snow <[EMAIL PROTECTED]> wrote:
> > -Original Message-
> > From: [EMAIL PROTECTED]
> > [mailto:[EMAIL PROTECTED] On Behalf Of
> > Bi-Info (http://members.h
Dear List,
I have a dataset that provides sampling weights (National Survey of
Family Growth 2002). I want to produce a cross-tabulation and use the
provided sampling weights to obtain representative population estimates.
(I believe they are simply frequency weights but codebook is
uninformative).
On Wed, 11 Apr 2007, [EMAIL PROTECTED] wrote:
> Hello,
>
> I am feeling that this question can have a very simple answer, but I
> can't find it.
>
> I need to use the function knn.dist from knnflex library.
>
> Whatever I try, I get the error:
> Error in as.vector.dist(x, "character") : unused arg
On Tue, 10 Apr 2007, yoo wrote:
>
> Hi all, I'm just curious how memory management works in R... I need to run an
> optimization that keeps calling the same function with a large set of
> parameters... so then I start to wonder if it's better if I attach the
> variables first vs passing them i
On Tuesday 10 April 2007 23:17, Ramon Diaz-Uriarte wrote:
> Of course, you are right there. I think that might still be the case.
> At the time we made our decision, and decided to go for MPI, MPI 2 was
> already out, and MPI seemed "more like the current/future standard"
> than PVM.
That's alwa
On Wed, 2007-04-11 at 10:18 +0700, A.R. Criswell wrote:
> Hello All,
>
> I looked through the archives and I've seen this question asked
> before, but with no answer: Is there an R equivalent to crosstabs() in
> S-Plus?
>
> Andrew
Hey Andrew,
The closest is probably the CrossTable() function in
Hello All,
I looked through the archives and I've seen this question asked
before, but with no answer: Is there an R equivalent to crosstabs() in
S-Plus?
Andrew
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PLEAS
Hello,
I am feeling that this question can have a very simple answer, but I
can't find it.
I need to use the function knn.dist from knnflex library.
Whatever I try, I get the error:
Error in as.vector.dist(x, "character") : unused argument(s) ("character")
First example:
> a<-NULL
> a<-rbind
On Tue, 2007-04-10 at 21:19 -0400, John Sorkin wrote:
> R 2.4.1
> windows XP
>
> I am trying to fill in a matrix with binomial probabilities without
> using a for loop. I am trying to obtain a value for pbinom using the
> value stored in column one of the matrix delete. Clearly I am doing
> somet
Dear John,
Try the following?
delete<-matrix(nrow=31,ncol=2)
delete[1:31,1]<-1:31
f<- function(X)
{
pbinom(X, 30, 0)
}
delete[,2]<-sapply(delete[,1], f)
delete
HTH
Floris
University of Sydney
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of
R 2.4.1
windows XP
I am trying to fill in a matrix with binomial probabilities without using a for
loop. I am trying to obtain a value for pbinom using the value stored in column
one of the matrix delete. Clearly I am doing something wrong. Please help me
understand my error.
> delete<-matri
On Apr 10, 2007, at 7:07 PM, Deepayan Sarkar wrote:
> On 4/10/07, Michael Kubovy <[EMAIL PROTECTED]> wrote:
>> Dear R-helpers,
>>
>> I have an xyplot
>>
>> of the following kind:
>> xYplot(y ~ x | p, groups = factor(gg, levels = c('1', '5', '2', '4',
>> '3')),
>> strip = strip.custom(var.
Taylor, Z Todd wrote:
> On Monday, April 09, 2007 3:23 PM, someone named Wilfred wrote:
>
>> So what's the big deal about S using files instead of memory
>> like R. I don't get the point. Isn't there enough swap space
>> for S? (Who cares anyway: it works, isn't it?) Or are there
>> any problems w
Dear R list members.
Is there anyone out there that might be able to explain the difference
between p-values and significance codes for terms in a linear
regression model (as given by summary.lm for example) for me please?
Do they both give the probability that the observed variation in the
depen
Dear R-Users,
I have the following problem of which I have provided a simple example.
Using the tapply command I can efficiently run the function genflo for
all months and years. I am new to R and I do not understand how I can
store the results of f such that as the function loops through the
mont
Hi Todd,
I guess I don't see the difference between that strategy and using
make to look after scripts, raw data, Sweave files, and (if necessary)
images. I find that I can get pretty fine-grained control over what
parts of a project need to be rerun by breaking the analysis into
chapters. I sup
On Monday, April 09, 2007 3:23 PM, someone named Wilfred wrote:
> So what's the big deal about S using files instead of memory
> like R. I don't get the point. Isn't there enough swap space
> for S? (Who cares anyway: it works, isn't it?) Or are there
> any problems with S and large datasets? I do
On 4/10/07, Michael Kubovy <[EMAIL PROTECTED]> wrote:
> Dear R-helpers,
>
> I have an xyplot
>
> of the following kind:
> xYplot(y ~ x | p, groups = factor(gg, levels = c('1', '5', '2', '4',
> '3')),
> strip = strip.custom(var.name = 'g', factor.levels = c(1', '5', '2',
> '4', '3'),
>
I think SAS was developed at a time when computer memory was
much smaller than it is now and the legacy of that is its better
usage of computer resources.
On 4/10/07, Wensui Liu <[EMAIL PROTECTED]> wrote:
> Greg,
> As far as I understand, SAS is more efficient handling large data
> probably than S
John Kane wrote:
> I have 3 SAS files all in the directory F:/sas, two
> data files
> and a format file :
> form.ea1.sas7bdat
> form.ea2.sas7bdat
> sas.fmts.sas7bdat
>
> F is a USB.
>
> I am trying import them to R using "sas.get".
>
> I have not used SAS since I was downloading data from
> ma
Michael Kubovy said the following on 4/10/2007 3:21 PM:
> Dear R-helpers,
>
> I have an xyplot
>
> of the following kind:
> xYplot(y ~ x | p, groups = factor(gg, levels = c('1', '5', '2', '4',
> '3')),
> strip = strip.custom(var.name = 'g', factor.levels = c(1', '5', '2',
> '4', '3'),
Dear R-helpers,
I have an xyplot
of the following kind:
xYplot(y ~ x | p, groups = factor(gg, levels = c('1', '5', '2', '4',
'3')),
strip = strip.custom(var.name = 'g', factor.levels = c(1', '5', '2',
'4', '3'),
strip.levels = T, strip.names = T, sep = ' = ',
shingle.
John,
According to the sas.get documentation, the format library option must
specify the directory containing the file formats.sct (I don't think it can
be a sas dataset). Also, do you need a forward slash after C: in the
sasprog option below? Finally, sas may not like the period in the file
na
Hi all, I'm just curious how memory management works in R... I need to run an
optimization that keeps calling the same function with a large set of
parameters... so then I start to wonder if it's better if I attach the
variables first vs passing them in (coz that involves a lot of copying.. )
Thu
I have 3 SAS files all in the directory F:/sas, two
data files
and a format file :
form.ea1.sas7bdat
form.ea2.sas7bdat
sas.fmts.sas7bdat
F is a USB.
I am trying import them to R using "sas.get".
I have not used SAS since I was downloading data from
mainframe
and having to write JCL. I had for
On 4/10/07, AJ Rossini <[EMAIL PROTECTED]> wrote:
> On Monday 09 April 2007 23:02, Ramon Diaz-Uriarte wrote:
>
> > (Yes, maybe I should check snowFT, but it uses PVM, and I recall a
> > while back there was a reason why we decided to go with MPI instead of
> > PVM).
>
> There is no reason that you
Dear all,
I'm trying to finding the fundamental harmonics (ie. peaks in a
periodogram) from a time series (extracted from an mp3). For example,
if I look at
spectrum(fdeaths, spans = c(3,3))
I'd say the fundamental harmonics are about 1, 2, 3.5 and 4.5 - but
how can I extract these automaticall
Hello,
I have a data-set containing 22 variables, after appropriate transformations
etc I ran a kmeans cluster analysis for 4 clusters , I ran it 20 times to
find a result with the lowest within sum of squares.
My question is how best do I go about finding out what the characteristics are
> However, the legend does not reproduce the color/shading used in the
> original barplot, are those available somehow?
Actually, Ingmar, there's a more elegant way to recre-
ate the original colors; to expand on your example:
data <- 1:10
rows <- 2
cols <- 5
labels <-
Dear Dimitri,
Using the tools provided in the sem package [e.g., the debug argument to
sem()], I took a closer look at this convergence problem, which arises
because of poor start values selected for the variances of the latent
variables. It turns out that you can get a solution for your original
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of
> Bi-Info (http://members.home.nl/bi-info)
> Sent: Monday, April 09, 2007 4:23 PM
> To: Gabor Grothendieck
> Cc: Lorenzo Isella; r-help@stat.math.ethz.ch
> Subject: Re: [R] Reasons to Use R
[snip]
>
Thanks! It worked after a some trial and error:
I Installed the pmg package through R. When loading pmg it complained
about missing gWidgets which I installed through R. Then it complained
about missing guitoolkit I guessed that would be gWidgetsRGtk2 (turned
out to be correct). Installation fai
On Monday 09 April 2007 23:02, Ramon Diaz-Uriarte wrote:
> (Yes, maybe I should check snowFT, but it uses PVM, and I recall a
> while back there was a reason why we decided to go with MPI instead of
> PVM).
There is no reason that you can't run both MPI and PVM on the same cluster.
There is a pa
Farrar,
I did ordinary kriging (OK) after log10 transformation. I need to
backtransfer my predicted data to original unit. You are right! Anti-log
of the predictions for bcaktransformation might give biased values. For
minimize the biasness, it is necessary know the lagrange-multiplier (y)
and pre
Farrar,
I did ordinary kriging (OK) after log10 transformation. I need to
backtransfer my predicted data to original unit. You are right! Anti-log
of the predictions for bcaktransformation might give biased values. For
minimize the biasness, it is necessary know the lagrange-multiplier (y)
and pre
Dear R users,
Just wondering how to extract clustered data in a file.
More precisely after running any clustering algorithms, you get information
about the clusterd vectors.
I want to save that data after clustering is done in the same order as the
clusters are produced. How can I do that
After run
Zia,
I'm not an expert on Kriging, or on the particular package. It sounds like
you just want to know how to anti-log the predictions,. which shouldn't be
hard. However, depending on what you actually need to predict, it seems your
predictions might be biased, right?
regards,
Farrar
Numerical optimization is sensitive to (at least) the method chosen,
control/convergence specifications, and the parameterization of the function
being optimized (all of this is well known). Defining what you mean by
"reproduce" in a precise, operational way is therefore essential. You have
not don
Zia,
this is not trivial, as gstat uses the kriging solution where
Lagrange parameters are not involved. You can get the separate
components of it and work from there. Another angle would be the
difference between the ordinary and simple kriging variance, but
I'm not 100% sure that equals the La
Dear R-users,
I have just joint the list and much appreciate any thoughts on 2 issues.
Firstly, I want to reproduce some minimization results conducted in MATLAB. I
have suceeded with nlm and optim-method CG. I have been told that I should get
also with other optim methods. Actually, I found th
Hi, we have this model
glm(CPUE~Year+Month+Length+Year:Month, family=Gamma (link="inverse"))
where, CPUE is a numerical variable >0, We use this model for
standardization of CPUE and we need the new estimates for each year. How
can we obtain it?
Thank you
___
For a previous version of SAS we had parts installed on each computer
where it was used, but there were key pieces located on a network drive
(not internet, but local network) such that if you tried to start SAS
while someone else was using it you would get an error message.
We had troubles with t
Have you considered exporting from Matlab using the '-ascii'
option, then reading it with 'read.table', after perhaps checking the
first few rows using, e.g., 'readLines', and confirming that all records
have the same length using 'count.fields'?
Hope this helps.
Spencer Gra
hello all,
If I want to do regression of spatial-temporal data, what package or
function should I use?
Thanks.
¶Àò¾ê
2007-04-10
[[alternative HTML version deleted]]
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mai
If you want a GTK2-based R GUI, try the pmg package.
On 4/10/07, fsando <[EMAIL PROTECTED]> wrote:
>
> Thanks a lot - Yes I have gnome 2.18, that must be it.
> So no gnomeGUI for me :(
>
> Michael Lawrence wrote:
> > My guess is that you have Gnome >=2.0, while the gnomeGUI only works
> > with the
On Tue, 10 Apr 2007, David Vonka wrote:
> Hello,
>
> I'm doing bootstrap in R 2.4.1 in order to compute standard errors of an
> estimator. I'm running the same program on 4 computers. The core of the
> program is a nlm minimization of a function, which is (I believe) nicely
> coded using (t)apply
Hello,
I'm doing bootstrap in R 2.4.1 in order to compute standard errors of an
estimator. I'm running the same program on 4 computers. The core of the
program is a nlm minimization of a function, which is (I believe) nicely
coded using (t)apply and all the vectorized stuff.
I'm slightly puzzl
Hallo,
>With readMat, don't use the "-ascii" option (which you didn't have in your
>first posting). I've never tried reading matlab's ascii format. In any >case,
>readMat reads matlab's binary format.
>- Tom
I did the saving again without 'ascii' option but the import also did not work.
I get
Dear Dimitri,
> -Original Message-
> From: John Smith [mailto:[EMAIL PROTECTED]
> Sent: Tuesday, April 10, 2007 8:11 AM
> To: John Fox
> Cc: r-help@stat.math.ethz.ch
> Subject: Re: [R] sem vs. LISREL: sem fails
>
> Dear Scott,
(John, actually.)
> thanks a lot - all your comments are ex
With readMat, don't use the "-ascii" option (which you didn't have in your
first posting). I've never tried reading matlab's ascii format. In any case,
readMat reads matlab's binary format.
- Tom
Tom Short
EPRI
Schmitt, Corinna wrote:
>
> Hallo,
>
>>I've used Henrik Bengtsson's R.matlab pac
"halldor bjornsson" <[EMAIL PROTECTED]> writes:
> ...
> Now, R does not have everything we want. One thing missing is a decent
> R-DB2 connection, for windows the excellent RODBC works fine, but ODBC
> support on Linux is a hassle.
>
A hassle? I use RODBC on Linux to read data from a mainf
Hallo,
>I've used Henrik Bengtsson's R.matlab package several times to successfully
>read in matlab data files. It's normally as easy as:
>library(R.matlab)
>mats <- readMat("matrixM.txt")
>- Tom
I have imported this package, too. And tried your commands with the new
txt-file as mentioned in m
Dear R-Experts,
>here again a question concerning matlab. With the command "matrixM=[1 2
>3;4 5 6]" a matrix under Matlab was constructed. It was than stored
with
>the command "save('matrixM.txt','matrixM')".
now I found my error in the matlab command for storing the data in a txt
file. You need
Dear Scott, thanks a lot - all your comments are extremely valuable!
One quick follow-up question - the thing is, I was really trying to compare sem
and LISREL solutions, which is why I was trying to specify exactly the same
model. Hence, I'd prefer to stick to the Var-Covar matrix, rather than
I've used Henrik Bengtsson's R.matlab package several times to successfully
read in matlab data files. It's normally as easy as:
library(R.matlab)
mats <- readMat("matrixM.txt")
- Tom
Tom Short
EPRI
Schmitt, Corinna wrote:
>
> Dear R-Experts,
>
> here again a question concerning matlab. Wi
It's in package cba (sdists()).
David
--
I have a column of words, for example
"DOG"
"DOOG"
"GOD"
"GOOD"
"DOOR"
...
and I am interested in creating a matrix that contains the string
edit distances between each pair of words. I am this close -> ' '
<- to writing the algorit
Dear R-Experts,
here again a question concerning matlab. With the command "matrixM=[1 2
3;4 5 6]" a matrix under Matlab was constructed. It was than stored with
the command "save('matrixM.txt','matrixM')".
Now I tried to import the data in R with the help of the command
"Z=matrix(scan("Z:/Softwar
Thanks a lot - Yes I have gnome 2.18, that must be it.
So no gnomeGUI for me :(
Michael Lawrence wrote:
> My guess is that you have Gnome >=2.0, while the gnomeGUI only works
> with the ancient Gnome 1.4, although I am not that familiar with the
> package.
>
> Michael
>
> On 4/9/07, * fsando*
Dear Chris,
I do not have the references here, but AFAIR:
if x and y are two time series, we say that "x does not Granger-cause y"
(x ngc y) if the models
(1) y~y(-1)+y(-2)+...+x(-1)+x(-2)+...
and
(2) y~y(-1)+y(-2)+...
are "equivalent", i.e. if past values of x "do not help explaining" y.
Th
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Time: 10 Apr 2007 12:27:17
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Hello all,
I'm trying to use cor.test across a range of values via the apply command,
c <- apply(X,1,cor.test,y)
where X is an array, giving me multiple output from cor.test. I can
access individual elements of this by e.g. c[[1]] or c[[1]]$estimate or
c[[n]] or whatever, but is there a way to
Constant Depièreux wrote:
> Hello,
>
> I have a data crunching program which causes me a problem.
>
> Some of the data are identified with an & sign followed by a integer.
> No problem is experienced when analysing data below &500, but value
> above are ignored.
>
> Is there some limitation
Read the data in as a string and then remove the "&" with 'gsub'.
What does your data file look like and how big is it? It would be
useful to provide a sample of your data so we could answer the
question easier.
On 4/10/07, Constant Depièreux <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I have a data
Content-Type: multipart/related;
boundary="DB3A3FF1.D25D383D"
--DB3A3FF1.D25D383D
Content-Type: text/html;
charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
We awaken in others the same attitude of mind we hold toward them=2E
An unattempted lady cou
Hi,
I am trying to compare two methods for the calculation of a trivariate normal
cdf:
1) "direct" - using the original covariance matrix
2) "indirect" - transforming the integration interval using the Mahalanobis
transformation and then integrating as a standard random variable.
The followin
On Tue, 10 Apr 2007, ronggui wrote:
> On 4/10/07, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
>> On Tue, 10 Apr 2007, Achim Zeileis wrote:
>>
>> > On Tue, 10 Apr 2007, ronggui wrote:
>> >
>> >> It seems that MASS suggest to judge on the basis of
>> >> sum(residuals(mode,type="pearson"))/df.resid
On 10-Apr-07 07:48:38, Constant Depièreux wrote:
> Hello,
>
> I have a data crunching program which causes me a problem.
>
> Some of the data are identified with an & sign followed by a integer.
> No problem is experienced when analysing data below &500, but value
> above are ignored.
>
> Is
On 4/10/07, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
> On Tue, 10 Apr 2007, Achim Zeileis wrote:
>
> > On Tue, 10 Apr 2007, ronggui wrote:
> >
> >> It seems that MASS suggest to judge on the basis of
> >> sum(residuals(mode,type="pearson"))/df.residual(mode).
>
> Not really; that is the convent
Hi
[EMAIL PROTECTED] napsal dne 09.04.2007 22:10:22:
> I want to produce some boxplots and plot the logged values but have the
> axis scale in the original, not-logged scale. It seeming like I have the
> first few steps but I'm having trouble with the last. Here's what I'm
> doing (which I go
Hallo
Seems to me that you can make a summary table using
aggregate(RESPONSE, list(TREATMENT, MEASUREMENT, BLOCK, STUDY), mean)
and then if you want you can use reshape function or melt/cast function
from reshape package to get wide form of your table.
Regards
Petr Pikal
[EMAIL PROTECTED]
[E
On Tue, 10 Apr 2007, Achim Zeileis wrote:
> On Tue, 10 Apr 2007, ronggui wrote:
>
>> It seems that MASS suggest to judge on the basis of
>> sum(residuals(mode,type="pearson"))/df.residual(mode).
Not really; that is the conventional moment estimator of overdispersion
and it does not suffer from th
Hello,
I have a data crunching program which causes me a problem.
Some of the data are identified with an & sign followed by a integer.
No problem is experienced when analysing data below &500, but value
above are ignored.
Is there some limitation in R on this topic?
Many thanks for your he
On Tue, 10 Apr 2007, ronggui wrote:
> It seems that MASS suggest to judge on the basis of
> sum(residuals(mode,type="pearson"))/df.residual(mode). My question: Is
> there any rule of thumb of the cutpoiont value?
>
> The paper "On the Use of Corrections for Overdispersion" suggests
> overdispersi
> "Sorn" == Sorn Norng <[EMAIL PROTECTED]>
> on Tue, 10 Apr 2007 16:11:38 +1000 writes:
Sorn> Hi, In SPlus there is a function called "twoway" for
Sorn> median polishing gridded data. Is there an equivalent
Sorn> function in R?
yes
Sorn> I have been searching for it in
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