RE: [R] A suggestion regarding multiple replies

2003-11-17 Thread Mulholland, Tom
As with most of the replies so far, I enjoy the way the list works.

A couple of observations however are that it is evident that off list
replies already happen and imho more importantly is the fact that
initially quite straightforward queries can turn into something much
more interesting. I find this type of query to be among the most
helpful. Partly because they tend to deal with issues that I think I
have already got covered. An example of this was the use of asp=1 in a
plot to keep the aspect ratio correct. One might argue that having to go
to plot.default to find this reference rather than in plot was the
problem, but what it did to me was to ensure that I follow through
deeper and deeper into the workings of R. There are times when it is
only after you have found the answer that you realise why the answer had
to be where it was (as with plot.default) and that's when the real
learning begins.

I use the list as a way of exploring different aspects of R (often those
that I have no direct need of at the time.)


 
Tom Mulholland
Senior Policy Officer
WA Country Health Service
Tel: (08) 9222 4062
 

-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] 
Sent: Saturday, 15 November 2003 6:02 AM
To: [EMAIL PROTECTED]
Subject: [R] A suggestion regarding multiple replies


Please don't take this the wrong way. There are a lot of extremely
helpful 
people who subscribe to r-help. 

I was wondering if it is time to adopt a strategy a-la Splus help
whereby 
people reply to the author and the author summarizes all the replies?

Just a thought and have a good weekend.
Partha

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[R] ?for

2003-11-17 Thread Angel
I have always been intrigued by why ?for (or ?if,?while,etc) leave R wanting for more:
 ?for
+ 
I know the help for these is in ?Control, but I sometimes make the mistake of typing 
?for instead. What is R expecting me to say to finish the statement?
Thanks,
Angel

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Re: [R] ?for

2003-11-17 Thread Prof Brian Ripley
You have typed a syntactically incomplete statement: this is explained in 
?help.

Hint: ?for and help(for) work.

On Sun, 16 Nov 2003, Angel wrote:

 I have always been intrigued by why ?for (or ?if,?while,etc) leave R
 wanting for more:
  ?for
 + 
 I know the help for these is in ?Control, but I sometimes make the
 mistake of typing ?for instead. What is R expecting me to say to finish
 the statement?

-- 
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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[R] CLARA

2003-11-17 Thread optimisation1 . stagiaire





I need informations about the clara routine. The on-line doc say that the
argument stand is a logical, indicating if the measurements in x are
standardized before calculating the dissimilarities. Measurements are
standardized for each variable (column), by subtracting the variable's mean
value and dividing by the variable's mean absolute deviation. If we note
STAND = TRUE, I suppose that the data will not be standardized before
clustering. On the contrary, STAND = FALSE means that the data will be
standardized before clustering.
Each sub-dataset is partitioned into k clusters using the same algorithm as
in pam. But the pam routine argument stand is a logical; if true, the
measurements in x are standardized before calculating the dissimilarities.
Measurements are standardized for each variable (column), by subtracting
the variable's mean value and dividing by the variable's mean absolute
deviation. If x is already a dissimilarity matrix, then this argument will
be ignored. If we note STAND = TRUE, I suppose that the data will be
standardized.

There is a big difference as clara and pam use nearly the same algorithm.

I need to use clara because I have a large dataset. Could help me about the
argument stand ? May I have to standardize my datas with excel before ? If
yes, what I have to write : STAND = ?? ?

Best regards,
Cordialement,

Régis CHARIGNON
Service Optimisation
Direct Line: +33 (0)1 47 23 21 44
_
Lagardère Active Publicité
28, rue François 1er,  75008 Paris

 http://www.lagardere-active-pub.com


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[R] Symbolic math?

2003-11-17 Thread Hank Stevens
Hi Folks,
I am using Windows 2000 and was wondering what (Open Source) software R 
users use or might recommend for symbolic computations (aside from the ol' 
noggin, e.g., Maxima, Mathomatic) .
Thanks,
Hank

Dr. Martin Henry H. Stevens, Assistant Professor
338 Pearson Hall
Botany Department
Miami University
Oxford, OH 45056
Office: (513) 529-4206
Lab: (513) 529-4262
FAX: (513) 529-4243
http://www.cas.muohio.edu/botany/bot/henry.html
http://www.muohio.edu/ecology
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Re: [R] ?for

2003-11-17 Thread Peter Dalgaard
Prof Brian Ripley [EMAIL PROTECTED] writes:

 You have typed a syntactically incomplete statement: this is explained in 
 ?help.
 
 Hint: ?for and help(for) work.

Further hint: ? is an operator, syntactically similar to + and -. You
can apply operators to the result of a for loop. Consider for example

x - 1; - for (i in 1:10) x - x * i

(? has special semantics, but that is not noticed at parse time).

-- 
   O__   Peter Dalgaard Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics 2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark  Ph: (+45) 35327918
~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907

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[R] function identify()

2003-11-17 Thread guerreau
How can I control the size of the characters when using the function identify() ?

Many thanks in advance.

alain GUERREAUCNRS-Paris

[EMAIL PROTECTED]

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Re: [R] Symbolic math?

2003-11-17 Thread Arne Henningsen
Hi,

I sometimes use MuPAD (www.mupad.com). Unfortunately, it is not Open Source, 
but most versions are free of charge for non-commercial use (see http://
www.sciface.com/personal.shtml). 

Arne

On Monday 17 November 2003 11:37, Hank Stevens wrote:
 Hi Folks,
 I am using Windows 2000 and was wondering what (Open Source) software R
 users use or might recommend for symbolic computations (aside from the ol'
 noggin, e.g., Maxima, Mathomatic) .
 Thanks,
 Hank

 Dr. Martin Henry H. Stevens, Assistant Professor
 338 Pearson Hall
 Botany Department
 Miami University
 Oxford, OH 45056

 Office: (513) 529-4206
 Lab: (513) 529-4262
 FAX: (513) 529-4243
 http://www.cas.muohio.edu/botany/bot/henry.html
 http://www.muohio.edu/ecology

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-- 
Arne Henningsen
Department of Agricultural Economics
University of Kiel
Olshausenstr. 40
D-24098 Kiel (Germany)
Tel: +49-431-880 4445
Fax: +49-431-880 1397
[EMAIL PROTECTED]
http://www.uni-kiel.de/agrarpol/ahenningsen/

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Re: [R] Initial size of graphics window

2003-11-17 Thread Martin Maechler
 Paul == Paul Murrell [EMAIL PROTECTED]
 on Mon, 17 Nov 2003 09:07:29 +1300 writes:

Paul Hi
Paul Remington, Richard wrote:
 Wolfgang Zocher wrote:
 
 Hi,
 
 using par() a window is opened which is too large for my monitor. Is 
 there any
 chance to change the size of this window?
 
 par(din=c(?,?))
 
 Alternatively, if you don't need to use par() and are using Microsoft 
 Windows, see
 
 ?win.graph
 
 Example, 4 x 4 inch window
 
 win.graph(width = 4, height = 4)

Paul The first time you use a graphics command, R
Paul automatically opens a graphics device (what sort of
Paul device you get is controlled by options(device=?)).
Paul This device will open with default size settings.

Hence, if you really want the default window opened 
{by par() or plot() or ...} to become smaller, 
you could do something like

  myWin - function() win.graph(width = 4, height = 4)
  options(device = myWin)

and even put this into an approriate  Rprofile file, see ?Startup.

Martin

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[R] Rweb: how to use source()

2003-11-17 Thread Jonathan Baron
I cannot discover how to set or find the working directory in
Rweb, so that I can source() a file from the server.  The file I
source() must refer to a data file in its directory.

setwd() does not do anything, and getwd() says that the working
directory is in /var/www/cgi-bin/ (on Linux).

(I have a student who installed R on her own computer and
analyzed half of her data, and then her computer died.  Rweb
could let her finish, if I could just take what she's done so
far, which I have, and put it on my server.)

-- 
Jonathan Baron, Professor of Psychology, University of Pennsylvania
Home page:http://www.sas.upenn.edu/~baron

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[R] confint: which method attached?

2003-11-17 Thread Ulrich Halekoh



the function
confint
uses the profiling method of the function of the package MASS
 
confint.glm

even after the package has been detached!

1: might this be the intenden behavior?

2. How does the function remember its 'MASS' functionality after detaching the package?

R: 1.8.0; Windows 2000



Here is a sample program


 set.seed(7882)
 x-rep(c(0,1),c(20,20))
 p-plogis(2+0.1*x)
 y-cbind(event,50-rbinom(length(p),50,p))
 xf-factor(x)
 g-glm(y~xf,family=binomial)
 
 # conficence intervals according base package:
 print(confint(g))
 2.5 %97.5 %
(Intercept) 1.65425534 2.0266122
xf1 0.06324695 0.6282106
 
 library(MASS)
 print(confint(g))
Waiting for profiling to be done...
 2.5 %97.5 %
(Intercept) 1.66398057 2.0247678
xf1 0.07341592 0.6210034
 
 detach(package:MASS)
 print(search())
[1] .GlobalEnv  package:methods package:ctest   package:mva
[5] package:modreg  package:nls package:ts  Autoloads  
[9] package:base   
 print(confint(g))
Waiting for profiling to be done...
 2.5 %97.5 %
(Intercept) 1.66398057 2.0247678
xf1 0.07341592 0.6210034


Ulrich Halekoh, PhD
Institute of Agricultural Sciences, Biometry Group
8830 Tjele, Denmark,
[EMAIL PROTECTED]

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Re: [R] function identify()

2003-11-17 Thread Uwe Ligges


On Mon, 17 Nov 2003, guerreau wrote:

 How can I control the size of the characters when using the function identify() ?

You cannot and found the bug mentioned in PR#660.

Uwe Ligges


 Many thanks in advance.
 
 alain GUERREAUCNRS-Paris
 
 [EMAIL PROTECTED]
 
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RE: [R] ISOdate() and strptime()

2003-11-17 Thread Simon Fear
I think I do understand how difficult dates are. All I'm saying is
that by adopting a standard that is OS dependent (and hence, 
almost by definition, OS varying) you make R behave differently 
on different OSs - and that is NOT making R portable across
multiple OSs.

This is a theoretical whinge. I'm not going to program it !

Please don't let me make too much of this anyway. For one thing,
although it is not guaranteed, it seems that many OSs DO in
fact behave identically. Also, it is only incomplete or erroneous 
dates that might be handled differently - and in most applications, 
one needs to pre-process incomplete date-times in R, rather than 
leave them to any default interpretation (even if that default was 
strictly fixed).

 -Original Message-
 From: Jason Turner [mailto:[EMAIL PROTECTED]
 Sent: 15 November 2003 06:17
 To: Simon Fear
 Cc: [EMAIL PROTECTED]
 Subject: Re: [R] ISOdate() and strptime()
 
 
 Security Warning: 
 If you are not sure an attachment is safe to open please contact  
 Andy on x234. There are 0 attachments with this message. 
  
  
 Thomas Lumley wrote:
 
  On Fri, 14 Nov 2003, Simon Fear wrote:
  
 Is the behaviour of ISOtime() and strptime() determined by ISO
 or POSIX standard? Seems not to fit R's no nannying policy
 at all. 
 
  
  
  It's determined by your operating system, so you're 
 complaining to the
  wrong people.
  
 
 And since R is written to be portable across multiple OSs, 
 you might get 
 an idea how tricky this becomes.  Hence the iron fist 
 approach to date 
 handling.  Believe me, I've programmed date handling - it's always a 
 terrible, nasty, messy business when international locales 
 and different 
 operating systems clash.  I'm stunned it's as good as it is, subtle 
 traps and all.
 
 Cheers
 
 Jason
  
 
Simon Fear 
Senior Statistician 
Syne qua non Ltd 
Tel: +44 (0) 1379 69 
Fax: +44 (0) 1379 65 
email: [EMAIL PROTECTED] 
web: http://www.synequanon.com 
  
Number of attachments included with this message: 0 
  
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Re: [R] confint: which method attached?

2003-11-17 Thread Prof Brian D Ripley
On Mon, 17 Nov 2003, Ulrich Halekoh wrote:

 the function
 confint
 uses the profiling method of the function of the package MASS

 confint.glm

 even after the package has been detached!

Why the exclamation mark?  Note profile.glm is not actually in package:MASS
(sic).  Try looking for it:

 getAnywhere(profile.glm)
A single object matching 'profile.glm' was found
It was found in the following places
  registered S3 method for profile from namespace MASS
  namespace:MASS
with value
   ...

 1: might this be the intenden behavior?

The accurate description is the intended behaviour.

 2. How does the function remember its 'MASS' functionality after
 detaching the package?

It isn't in the package 


There is currently no way to remove registered S3 methods like confint.glm
in an R session.  Nor is there likely to be in the near future,


General comment: R has changed quite a lot recently, and older
preconceptions do need to be checked against current information.
The article `Name Space Management for R' in R-news 2003/1 may help
(although it may tell you mor ethan you want to know).

-- 
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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Re: [R] Rweb: how to use source()

2003-11-17 Thread alessandro . semeria

It seem a user-permission problem.
May be some mistake at Rweb configuration
level (look at the RwebConfig file)?
First you have to try R standalone.

A.S.



Alessandro Semeria
Models and Simulations Laboratory
Montecatini Environmental Research Center (Edison Group),
Via Ciro Menotti 48,
48023 Marina di Ravenna (RA), Italy
Tel. +39 544 536811
Fax. +39 544 538663
E-mail: [EMAIL PROTECTED]

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[R] Generalized linear model

2003-11-17 Thread Marcos Sanches

Hi all!

 I am fitting a Poisson model, using the following command:

 fit2-glm(canc~id1+year1+time+lnpa,family=poisson)



 where 'id1', 'year1' and 'time' are factors. I defined them with:

 id1-C(factor(id1), treatment)

 and 'lnpa' is a continuous variable.

The 'summary' function gives me all the effects estimates, that is, for id1,
I end up with estimates for id12, id13 and id14, the id11 is the reference
level. That is fine, but when I try to fit the model without the point 18,
using the command line:

 fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset(dat, order!=18))

The 'summary' function stop to giving me the levels effect, and gives only
one effect for id1, one for year1, one for time and one for lnpa. I want to
have the parameters estimates for each level of each factor, as it was in
the first fit. Also, I noticed the degree of freedom of deviance and the
deviance itself has increased, so I cont't compare both models in terms of
their deviance.

 What should I do to have each factor level effect as I had in the first
case?

 Thanks

Marcos

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Re: [R] ISOdate() and strptime()

2003-11-17 Thread RINNER Heinrich
I have followed with interest the discussion on date handling.
I am no expert in these things; all I want to do is convert a character
vector that has been read into R (and which may contain some erroneous
dates) to a date format, and then do some work with it [e.g., use it in a
plot].
Classes POSIXlt and POSIXct seem fine to me - for example, they have
very nice and useful seq and plot methods.

So now I have two more questions:

1. Is it only incomplete or erroneous dates that might be handled
differently by ISOdate() or strptime()? Do correct specifications of year,
month and day always give the same results, no matter where or who I am?

2. Can someone point me to a reference that helps me understand why R's (or
the Operating systems?) best guess at what I intended turns out to be the
results in the examples I posted in my earlier mail?

Regards,
Heinrich.

 -Ursprüngliche Nachricht-
 Von: RINNER Heinrich [mailto:[EMAIL PROTECTED] 
 Gesendet: Freitag, 14. November 2003 11:13
 An: '[EMAIL PROTECTED]'
 Betreff: [R] ISOdate() and strptime()
 
 
 Dear R-people!
 
 I am using R 1.8.0, under Windows XP.
 While using ISOdate() and strptime(), I noticed the following 
 behaviour when
 wrong arguments (e.g., months12) are given to these functions:
 
  ISOdate(year=2003,month=2,day=20) #ok
 [1] 2003-02-20 13:00:00 Westeuropäische Normalzeit
  ISOdate(year=2003,month=2,day=30) #wrong day, but returns a value
 [1] 2003-03-02 13:00:00 Westeuropäische Normalzeit
  ISOdate(year=2003,month=2,day=35) #wrong day, and returns NA
 [1] NA
  ISOdate(year=2003,month=2,day=40) #wrong day, but returns a value
 [1] 2003-02-04 01:12:00 Westeuropäische Normalzeit
  ISOdate(year=2003,month=22,day=20) #wrong month, but returns a value
 [1] 2003-02-02 21:12:00 Westeuropäische Normalzeit
 
 And almost the same with strptime():
  strptime(2003-02-20, format=%Y-%m-%d)
 [1] 2003-02-20
  strptime(2003-02-30, format=%Y-%m-%d)
 [1] 2003-03-02
  strptime(2003-02-35, format=%Y-%m-%d)
 [1] NA
  strptime(2003-02-40, format=%Y-%m-%d)
 [1] 2003-02-04
  strptime(2003-22-20, format=%Y-%m-%d)
 [1] NA
 
 Is this considered to be a user error (If you put garbage 
 in, expect to get
 garbage out), or would it be safer to generally return Nas, as in
 ISOdate(year=2003,month=2,day=35)?
 
 -Heinrich.
 
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Re: [R] Generalized linear model

2003-11-17 Thread Prof Brian Ripley
The second fit appeared to use a dataframe and the first did not.  Try

fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset=-18)

On Mon, 17 Nov 2003, Marcos Sanches wrote:

 
   Hi all!
 
  I am fitting a Poisson model, using the following command:
 
  fit2-glm(canc~id1+year1+time+lnpa,family=poisson)
 
 
 
  where 'id1', 'year1' and 'time' are factors. I defined them with:
 
  id1-C(factor(id1), treatment)
 
  and 'lnpa' is a continuous variable.
 
 The 'summary' function gives me all the effects estimates, that is, for id1,
 I end up with estimates for id12, id13 and id14, the id11 is the reference
 level. That is fine, but when I try to fit the model without the point 18,
 using the command line:
 
  fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset(dat, order!=18))
 
 The 'summary' function stop to giving me the levels effect, and gives only
 one effect for id1, one for year1, one for time and one for lnpa. I want to
 have the parameters estimates for each level of each factor, as it was in
 the first fit. Also, I noticed the degree of freedom of deviance and the
 deviance itself has increased, so I cont't compare both models in terms of
 their deviance.
 
  What should I do to have each factor level effect as I had in the first
 case?
 
  Thanks
 
 Marcos
 
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-- 
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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RE: [R] Generalized linear model

2003-11-17 Thread Marcos Sanches
Ok, it worked!!!

  But what would be the command if I want to eliminate another point? I
mean, two points at the same time.

Thanks,

Marcos

-Original Message-
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
Sent: Monday, November 17, 2003 1:02 PM
To: Marcos Sanches
Cc: R-Help
Subject: Re: [R] Generalized linear model


The second fit appeared to use a dataframe and the first did not.  Try

fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset=-18)

On Mon, 17 Nov 2003, Marcos Sanches wrote:


   Hi all!

  I am fitting a Poisson model, using the following command:

  fit2-glm(canc~id1+year1+time+lnpa,family=poisson)



  where 'id1', 'year1' and 'time' are factors. I defined them with:

  id1-C(factor(id1), treatment)

  and 'lnpa' is a continuous variable.

 The 'summary' function gives me all the effects estimates, that is, for
id1,
 I end up with estimates for id12, id13 and id14, the id11 is the reference
 level. That is fine, but when I try to fit the model without the point 18,
 using the command line:

  fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset(dat,
order!=18))

 The 'summary' function stop to giving me the levels effect, and gives only
 one effect for id1, one for year1, one for time and one for lnpa. I want
to
 have the parameters estimates for each level of each factor, as it was in
 the first fit. Also, I noticed the degree of freedom of deviance and the
 deviance itself has increased, so I cont't compare both models in terms of
 their deviance.

  What should I do to have each factor level effect as I had in the first
 case?

  Thanks

 Marcos

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--
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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[R] S Programming

2003-11-17 Thread Mohammad Ehsanul Karim
Dear all,

I am thinking of writing my own functions in s-plus (or in R). I just 
know how to work with S-plus / R built-in functions. Therefore, I'm a 
beginner in S programming.

I am looking for some on-line documentation that is well written about 
Programming in S language where control stuctures / loops / vectorization 
and necessery sequences of S programming are presented in an organized form.

Any comment / suggestion / idea / web-link / replies will be gladly 
accepted. Thanks for your time.



___
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Institute of Statistical Research and Training
University of Dhaka, Dhaka- 1000, Bangladesh
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RE: [R] Generalized linear model

2003-11-17 Thread Prof Brian Ripley
On Mon, 17 Nov 2003, Marcos Sanches wrote:

   Ok, it worked!!!
 
   But what would be the command if I want to eliminate another point? I
 mean, two points at the same time.

subset=-c(18,27)

 
   Thanks,
 
 Marcos
 
 -Original Message-
 From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
 Sent: Monday, November 17, 2003 1:02 PM
 To: Marcos Sanches
 Cc: R-Help
 Subject: Re: [R] Generalized linear model
 
 
 The second fit appeared to use a dataframe and the first did not.  Try
 
 fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset=-18)
 
 On Mon, 17 Nov 2003, Marcos Sanches wrote:
 
 
  Hi all!
 
   I am fitting a Poisson model, using the following command:
 
   fit2-glm(canc~id1+year1+time+lnpa,family=poisson)
 
 
 
   where 'id1', 'year1' and 'time' are factors. I defined them with:
 
   id1-C(factor(id1), treatment)
 
   and 'lnpa' is a continuous variable.
 
  The 'summary' function gives me all the effects estimates, that is, for
 id1,
  I end up with estimates for id12, id13 and id14, the id11 is the reference
  level. That is fine, but when I try to fit the model without the point 18,
  using the command line:
 
   fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset(dat,
 order!=18))
 
  The 'summary' function stop to giving me the levels effect, and gives only
  one effect for id1, one for year1, one for time and one for lnpa. I want
 to
  have the parameters estimates for each level of each factor, as it was in
  the first fit. Also, I noticed the degree of freedom of deviance and the
  deviance itself has increased, so I cont't compare both models in terms of
  their deviance.
 
   What should I do to have each factor level effect as I had in the first
  case?
 
   Thanks
 
  Marcos
 
  __
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  https://www.stat.math.ethz.ch/mailman/listinfo/r-help
 
 
 
 --
 Brian D. Ripley,  [EMAIL PROTECTED]
 Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
 University of Oxford, Tel:  +44 1865 272861 (self)
 1 South Parks Road, +44 1865 272866 (PA)
 Oxford OX1 3TG, UKFax:  +44 1865 272595
 
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-- 
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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[R] gradient option in nlm function

2003-11-17 Thread yuanji
Dear list members,

I am trying to use nlm function to maximize a mixture likelihood of beta
densities. There are five unknown parameters in the likelihood. Since I can
get the analytic gradient, I attach the gradient attribute in my target
likehood function. The code is as the following



 target - function(x)
 { resp - 
  grad - rep(0,5)## I have 5 paramters
   grad[1] - ...; grad[2] - ...; grad[3] - ...; grad[4] - ...; grad[5]
- ...
   attr(resp, gradient) - grad
   resp
 }
 nlm(targ, c(1,2,3,4,5))



The R gave me this error message


Error in nlm(targ, c(1,2,3,4,5)) : probable coding error in analytic
gradient



I ran my code for defining gradient separately, and there seemed to be no
coding error. I provided other options for nlm() function and it gave me
the same error message. I removed the gradient part and let nlm() do the
numerical derivative, it ran but the algorithm was not converging.

I want to know if nlm can handle multiple parameters problems, and if yes,
was there any error in my code? How do I properly provide the gradient for
my function?

Thanks a lot,

Yuan Ji, Ph.D.


Assistant Professor
Department of Bistatistics
The University of Texas M.D. Anderson Cancer Center
1515 Holcombe Blvd. - Unit 447
Houston, TX 77030-4009
(713)794-4153

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Re: [R] S Programming

2003-11-17 Thread alessandro . semeria

Look at http://cran.r-project.org/other-docs.html
A.S.



Alessandro Semeria
Models and Simulations Laboratory
Montecatini Environmental Research Center (Edison Group),
Via Ciro Menotti 48,
48023 Marina di Ravenna (RA), Italy
Tel. +39 544 536811
Fax. +39 544 538663
E-mail: [EMAIL PROTECTED]

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Re: [R] Generalized linear model

2003-11-17 Thread Spencer Graves
 From ?glm, I find the following: 

subset: an optional vector specifying a subset of observations to be
 used in the fitting process.
 Thus, to delete observations 16 and 18, I can use the following: 

fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset=-c(16,18))

hope this helps.  spencer graves

Marcos Sanches wrote:

	Ok, it worked!!!

 But what would be the command if I want to eliminate another point? I
mean, two points at the same time.
	Thanks,

Marcos

-Original Message-
From: Prof Brian Ripley [mailto:[EMAIL PROTECTED]
Sent: Monday, November 17, 2003 1:02 PM
To: Marcos Sanches
Cc: R-Help
Subject: Re: [R] Generalized linear model
The second fit appeared to use a dataframe and the first did not.  Try

fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset=-18)

On Mon, 17 Nov 2003, Marcos Sanches wrote:

 

	Hi all!

I am fitting a Poisson model, using the following command:

   

fit2-glm(canc~id1+year1+time+lnpa,family=poisson)
 

where 'id1', 'year1' and 'time' are factors. I defined them with:

   

id1-C(factor(id1), treatment)
 

and 'lnpa' is a continuous variable.

The 'summary' function gives me all the effects estimates, that is, for
   

id1,
 

I end up with estimates for id12, id13 and id14, the id11 is the reference
level. That is fine, but when I try to fit the model without the point 18,
using the command line:
   

fit2-glm(canc~id1+year1+time+lnpa,family=poisson, subset(dat,
 

order!=18))
 

The 'summary' function stop to giving me the levels effect, and gives only
one effect for id1, one for year1, one for time and one for lnpa. I want
   

to
 

have the parameters estimates for each level of each factor, as it was in
the first fit. Also, I noticed the degree of freedom of deviance and the
deviance itself has increased, so I cont't compare both models in terms of
their deviance.
What should I do to have each factor level effect as I had in the first
case?
Thanks

Marcos

__
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--
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595
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[R] Accents in R

2003-11-17 Thread Xavier Fernández i Marín
Hi,

How can I include accents and signs like 'ñ' 'à' in the plots generated by R?

I try, but R automatically transforms the name 
ex:
 countries - c(México, España)
 countries
[1] M\216éxico Espa\216ña


I've seen in some Spanish texts about R how is it normal to include labels of 
the plots and other names with accents, but I can't.

I'm using R 1.8.0 in a Mandrake 9.0

Thanks,

Xavier

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Re: [R] gradient option in nlm function

2003-11-17 Thread Thomas W Blackwell
On Mon, 17 Nov 2003 [EMAIL PROTECTED] wrote:

 Dear list members,

 I am trying to use nlm function to maximize a mixture likelihood of beta
 densities. There are five unknown parameters in the likelihood. Since I can
 get the analytic gradient, I attach the gradient attribute in my target
 likehood function. The code is as the following

  target - function(x)
  { resp - 
   grad - rep(0,5)## I have 5 paramters
grad[1] - ...; grad[2] - ...; grad[3] - ...; grad[4] - ...; grad[5]
 - ...
attr(resp, gradient) - grad
resp
  }
  nlm(targ, c(1,2,3,4,5))

It would probably help if you passed the function  target()  to
nlm(),  rather than passing  targ().

 The R gave me this error message

 Error in nlm(targ, c(1,2,3,4,5)) : probable coding error in analytic
 gradient

 I ran my code for defining gradient separately, and there seemed to be no
 coding error. I provided other options for nlm() function and it gave me
 the same error message. I removed the gradient part and let nlm() do the
 numerical derivative, it ran but the algorithm was not converging.

 I want to know if nlm can handle multiple parameters problems, and if yes,
 was there any error in my code? How do I properly provide the gradient for
 my function?

 Thanks a lot,

 Yuan Ji, Ph.D.

 Assistant Professor
 Department of Bistatistics
 The University of Texas M.D. Anderson Cancer Center
 1515 Holcombe Blvd. - Unit 447
 Houston, TX 77030-4009
 (713)794-4153


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Re: [R] gradient option in nlm function

2003-11-17 Thread yuanji

Oh, that's a typo. I passed the function target. Seems to me R requires
some kind of specific syntex.
Yuan Ji, Ph.D.


Assistant Professor
Department of Bistatistics
The University of Texas M.D. Anderson Cancer Center
1515 Holcombe Blvd. - Unit 447
Houston, TX 77030-4009
(713)794-4153



|-+--
| |  |
| |  |
| |Thomas W Blackwell|
| |   [EMAIL PROTECTED]|
| |  |
| | 11/17/03 10:18 AM|
| |  |
|-+--
  
-|
  |
 |
  |
 |
  |
 |
  |To: 
 |
  |  [EMAIL PROTECTED] 
 |
  |cc: 
 |
  |  [EMAIL PROTECTED] 
  |
  |Subject:
 |
  |  Re: [R] gradient option in nlm function 
 |
  |
 |
  
-|




On Mon, 17 Nov 2003 [EMAIL PROTECTED] wrote:

 Dear list members,

 I am trying to use nlm function to maximize a mixture likelihood of
beta
 densities. There are five unknown parameters in the likelihood. Since I
can
 get the analytic gradient, I attach the gradient attribute in my target
 likehood function. The code is as the following

  target - function(x)
  { resp - 
   grad - rep(0,5)## I have 5 paramters
grad[1] - ...; grad[2] - ...; grad[3] - ...; grad[4] - ...;
grad[5]
 - ...
attr(resp, gradient) - grad
resp
  }
  nlm(targ, c(1,2,3,4,5))

It would probably help if you passed the function  target()  to
nlm(),  rather than passing  targ().

 The R gave me this error message

 Error in nlm(targ, c(1,2,3,4,5)) : probable coding error in analytic
 gradient

 I ran my code for defining gradient separately, and there seemed to be no
 coding error. I provided other options for nlm() function and it gave me
 the same error message. I removed the gradient part and let nlm() do the
 numerical derivative, it ran but the algorithm was not converging.

 I want to know if nlm can handle multiple parameters problems, and if
yes,
 was there any error in my code? How do I properly provide the gradient
for
 my function?

 Thanks a lot,

 Yuan Ji, Ph.D.

 Assistant Professor
 Department of Bistatistics
 The University of Texas M.D. Anderson Cancer Center
 1515 Holcombe Blvd. - Unit 447
 Houston, TX 77030-4009
 (713)794-4153


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Re: [R] Accents in R

2003-11-17 Thread Salvatore Barbaro
Cf.  expression()

On Monday 17 November 2003 17:14, Xavier Fernández i Marín wrote:
 Hi,

 How can I include accents and signs like 'ñ' 'à' in the plots generated by
 R?

 I try, but R automatically transforms the name

 ex:
  countries - c(México, España)
  countries

 [1] M\216éxico Espa\216ña


 I've seen in some Spanish texts about R how is it normal to include labels
 of the plots and other names with accents, but I can't.

 I'm using R 1.8.0 in a Mandrake 9.0

 Thanks,

 Xavier

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-- 
Salvatore Barbaro
University of Goettingen
Department of Public Economics
Platz der Goettinger Sieben 3
D-37073 Goettingen, Germany
Tel +49 (0)551 3919704
http://www.gwdg.de/~sbarbar

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RE: [R] Symbolic math?

2003-11-17 Thread Gabor Grothendieck

Depending on what you want to do

?deriv

in R may be enough.

--- 
Date: Mon, 17 Nov 2003 05:37:22 -0500 
From: Hank Stevens [EMAIL PROTECTED]
To: [EMAIL PROTECTED] 
Subject: [R] Symbolic math? 

 
 
Hi Folks,
I am using Windows 2000 and was wondering what (Open Source) software R 
users use or might recommend for symbolic computations (aside from the ol' 
noggin, e.g., Maxima, Mathomatic) .
Thanks,
Hank

Dr. Martin Henry H. Stevens, Assistant Professor
338 Pearson Hall
Botany Department
Miami University
Oxford, OH 45056

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Re: [R] Accents in R

2003-11-17 Thread Peter Dalgaard
Xavier Fernández i Marín [EMAIL PROTECTED] writes:

 Hi,
 
 How can I include accents and signs like 'ñ' 'à' in the plots generated by R?
 
 I try, but R automatically transforms the name 
 ex:
  countries - c(México, España)

  countries
 [1] M\216éxico Espa\216ña
 
 
 I've seen in some Spanish texts about R how is it normal to include labels of 
 the plots and other names with accents, but I can't.
 
 I'm using R 1.8.0 in a Mandrake 9.0

You'll need to get rid of UTF-8 encoding, since R doesn't know how to
deal with it. I'm not sure of the details on Mandrake, but I suspect
you need to diddle /etc/sysconfig/i18n or set some environment
variables (among the ones listed by locale).

-- 
   O__   Peter Dalgaard Blegdamsvej 3  
  c/ /'_ --- Dept. of Biostatistics 2200 Cph. N   
 (*) \(*) -- University of Copenhagen   Denmark  Ph: (+45) 35327918
~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907

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Re: [R] Symbolic math?

2003-11-17 Thread Len Vir
Hi,
 
Have you tried Yacas?
 
Yacas is a general purpose easy to use Computer Algebra System . It is built on top 
of its own programming language designed for this purpose, in which new algorithms can 
easily be implemented. In addition, it comes with extensive documentation on the 
functionality implemented and methods used to implement them.   Is is open source.

http://www.xs4all.nl/~apinkus/yacas.html
 
Len


Arne Henningsen [EMAIL PROTECTED] wrote:
Hi,

I sometimes use MuPAD (www.mupad.com). Unfortunately, it is not Open Source, 
but most versions are free of charge for non-commercial use (see http://
www.sciface.com/personal.shtml). 

Arne

On Monday 17 November 2003 11:37, Hank Stevens wrote:
 Hi Folks,
 I am using Windows 2000 and was wondering what (Open Source) software R
 users use or might recommend for symbolic computations (aside from the ol'
 noggin, e.g., Maxima, Mathomatic) .
 Thanks,
 Hank

 Dr. Martin Henry H. Stevens, Assistant Professor
 338 Pearson Hall
 Botany Department
 Miami University
 Oxford, OH 45056

 Office: (513) 529-4206
 Lab: (513) 529-4262
 FAX: (513) 529-4243
 http://www.cas.muohio.edu/botany/bot/henry.html
 http://www.muohio.edu/ecology

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Department of Agricultural Economics
University of Kiel
Olshausenstr. 40
D-24098 Kiel (Germany)
Tel: +49-431-880 4445
Fax: +49-431-880 1397
[EMAIL PROTECTED]
http://www.uni-kiel.de/agrarpol/ahenningsen/

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-


[[alternative HTML version deleted]]

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RE: [R] Rweb: how to use source()

2003-11-17 Thread Gabor Grothendieck


For the code, just copy and paste it through the clipboard 
into Rweb.

For the data, you enter the URL in the area where Rweb says 
External Data Entry.  Alternately, you can use the R dput command
on your machine to turn the data into an R statement and then add it 
to the source file, eliminating the need for reading an external 
data file.

---
Date: Mon, 17 Nov 2003 07:24:35 -0500 
From: Jonathan Baron [EMAIL PROTECTED]
To: [EMAIL PROTECTED] 
Subject: [R] Rweb: how to use source() 

 
 
I cannot discover how to set or find the working directory in
Rweb, so that I can source() a file from the server. The file I
source() must refer to a data file in its directory.

setwd() does not do anything, and getwd() says that the working
directory is in /var/www/cgi-bin/ (on Linux).

(I have a student who installed R on her own computer and
analyzed half of her data, and then her computer died. Rweb
could let her finish, if I could just take what she's done so
far, which I have, and put it on my server.)

-- 
Jonathan Baron, Professor of Psychology, University of Pennsylvania
Home page: http://www.sas.upenn.edu/~baron

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Re: [R] LOCF - Last Observation Carried Forward

2003-11-17 Thread Tony Plate
Here's a faster version of most.recent.  It uses rep() in a vectorized 
manner.

 # Gabor Grothendieck's function:
 most.recent.cut - function(x)
+ as.numeric(as.vector(cut(seq(x),c(which(x),Inf),lab=which(x),right=F)))

 # Version that uses which() and vectorized rep()
 most.recent - function(x) {
+ # return a vector of indices of the most recent TRUE value
+ if (!is.logical(x))
+ stop(x must be logical)
+ x.pos - which(x)
+ if (length(x.pos)==0 || x.pos[1] != 1)
+ x.pos - c(1, x.pos)
+ rep(x.pos, c(diff(x.pos), length(x) - x.pos[length(x.pos)] + 1))
+ }

 x - sample(c(T,F),1e7,rep=T)
 system.time(most.recent.cut(x))
[1] 41.21  0.54 41.98NANA
 system.time(most.recent(x))
[1] 2.67 0.08 2.78   NA   NA

-- Tony Plate

At Friday 10:21 PM 11/14/2003 -0500, Gabor Grothendieck wrote:

From: Tony Plate [EMAIL PROTECTED]:

 Here's a function that does the essential computation (written to work in
 both S-plus and R).

 This looks like one of those tricky problems that do not vectorize
 easily. It would be simple to write a C-program to compute this very
 efficiently. But are there any more efficient solutions than ones like the
 below (that are written without resort to C)?

 most.recent - function(x) {
 # return a vector of indices of the most recent TRUE value
 if (!is.logical(x))
 stop(x must be logical)
 x[is.na(x)] - FALSE
 # x is a logical vector
 r - rle(x)
 ends - cumsum(r$lengths)
 starts - ends - r$lengths + 1
 spec - as.list(as.data.frame(rbind(start=starts, len=r$lengths,
 value=as.numeric(r$values), prev.end=c(NA, ends[-length(ends)]
 names(spec) - NULL
 unlist(lapply(spec, function(s) if (s[3]) seq(s[1], len=s[2]) else
 rep(s[4], len=s[2])), use.names=F)
 }

  x - c(F,T,T,F,F,F,T,F)
  most.recent(x)
 [1] NA 2 3 3 3 3 7 7

 And using it to do the fill-forward:

  x - c(NA,2,3,NA,4,NA,5,NA,NA,NA,6,7,8,NA)
  x[most.recent(!is.na(x))]
 [1] NA 2 3 3 4 4 5 5 5 5 6 7 8 8
 

 Some timings:

  x - sample(c(T,F),1e4,rep=T)
  system.time(most.recent(x))
 [1] 0.33 0.01 0.47 NA NA
  x - sample(c(T,F),1e5,rep=T)
  system.time(most.recent(x))
 [1] 4.27 0.06 6.44 NA NA
  x - sample(c(T,F),1e6,rep=T)
  system.time(most.recent(x))
 [1] 47.27 0.17 47.97 NA NA
 

 -- Tony Plate

 PS. Actually, I just found a solution that I had lying around that is 
about
 70 times as fast on random test data like the above.

I was waiting for you to post this but didn't see it so I thought
I would post mine.  This one is 13x as fast and only requires
a single line of code.
 set.seed(111)
 x - sample(c(T,F),1,rep=T)
 system.time(z1 - most.recent(x))
[1] 0.92 0.02 1.68   NA   NA
 system.time(z2 - as.numeric(as.vector(
 cut(seq(x),c(which(x),Inf),lab=which(x),right=F
[1] 0.07 0.00 0.12   NA   NA
 all.equal(z1,z2)
[1] TRUE
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Re: [R] Accents in R

2003-11-17 Thread Ulises Mora Alvarez
Hello!

If you are using a GNOME-Terminal or if you are running R inside Emacs 
just make yourself sure that you change the UTF-8 encoding before starting 
R. 

 



On Mon, 17 Nov 2003, Salvatore Barbaro wrote:

 Cf.  expression()
 
 On Monday 17 November 2003 17:14, Xavier Fernández i Marín wrote:
  Hi,
 
  How can I include accents and signs like 'ñ' 'à' in the plots generated by
  R?
 
  I try, but R automatically transforms the name
 
  ex:
   countries - c(México, España)
   countries
 
  [1] M\216éxico Espa\216ña
 
 
  I've seen in some Spanish texts about R how is it normal to include labels
  of the plots and other names with accents, but I can't.
 
  I'm using R 1.8.0 in a Mandrake 9.0
 
  Thanks,
 
  Xavier
 
  __
  [EMAIL PROTECTED] mailing list
  https://www.stat.math.ethz.ch/mailman/listinfo/r-help
 
 

-- 
Ulises M. Alvarez
LAB. DE ONDAS DE CHOQUE
FISICA APLICADA Y TECNOLOGIA AVANZADA
UNAM
[EMAIL PROTECTED]

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RE: [R] A suggestion regarding multiple replies

2003-11-17 Thread kjetil
On 17 Nov 2003 at 15:08, Ted Harding wrote:

 On 15-Nov-03 Ted Harding wrote:
 And the following (in today's ?for thread) is a perfect example of
 what I mean:
 === 
 From: Peter Dalgaard [EMAIL PROTECTED]  To: Angel
 [EMAIL PROTECTED], [EMAIL PROTECTED]  Subject: Re: [R]
 ?for  Date: 17 Nov 2003 11:49:37 +0100   Further hint: ? is an
 operator, syntactically similar to + and -.  You can apply operators
 to the result of a for loop. Consider for  example   x - 1; - for
 (i in 1:10) x - x * i   (? has special semantics, but that is not
 noticed at parse time).
 ===
 
 This is just the sort of thing I love to see posted to the list,
 since it is an eye-opener. In fact, to really see what goes on
 I had to rub my eyes as follows:
 
   - for (i in 1:10) print(i)
 
 and I'm posting it hoping that it will enlighten some other people.
 
 Best wishes to all,
 Ted.
 
 

Indeed! look at the following:

 test - function(x) invisible(x)
 test(9)
 - test(9)
[1] -9
 


Kjetil Halvorsen

 
 E-Mail: (Ted Harding) [EMAIL PROTECTED] Fax-to-email: +44
 (0)870 167 1972 Date: 17-Nov-03  
 Time: 15:08:38 -- XFMail
 --
 
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Re: [R] A suggestion regarding multiple replies

2003-11-17 Thread Barry Rowlingson
[EMAIL PROTECTED] wrote:

Indeed! look at the following:


test - function(x) invisible(x)
test(9)
- test(9)
[1] -9



or even:

 +test(9)
[1] 9
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[R] Fwd: License Agreement

2003-11-17 Thread Sigrid Volko


***
Sigrid M. Volko, Ph.D.
Assistant Director
Office of Licensing and Technology Development
Johns Hopkins University 
100 N. Charles Street, 5th Floor
Baltimore, MD 21201
phone: 410-516-4962
fax: 410-516-5113

This e-mail message (including any attachments hereto) is for the sole use of the 
intended recipient(s) and may contain confidential and privileged information. If the 
reader of this message is not an intended recipient, you are hereby notified  that any 
dissemination, distribution or copying of this message (including the attachments 
hereto) is prohibited. If you have received this message in error, please contact the 
sender by reply e-mail message and destroy all copies of the original message 
(including any attachments hereto). Thank you for your cooperation.
---BeginMessage---
Dear Mr. Leisch,

I was asked by one of our faculty members at Johns Hopkins University to assist him in 
licensing a software application that he has developed. This package is based on R, 
the statistical software that is distributed as freeware. In the course of my due 
diligence analysis, I reviewed the official R web page which states that R is an 
official part of the Free Software Foundation's GNU project. However, it does not 
explicitly state under which License Agreement R is made available. Reviewing the GNU 
official web page, I assume that R is made available under the GNU General Public 
License. I would, however, appreciate if you could confirm that this information is 
correct. 

I look forward to hearing from you soon.

Mit besten Gruessen,

Sigrid Volko

***
Sigrid M. Volko, Ph.D.
Assistant Director
Office of Licensing and Technology Development
Johns Hopkins University 
100 N. Charles Street, 5th Floor
Baltimore, MD 21201
phone: 410-516-4962
fax: 410-516-5113

This e-mail message (including any attachments hereto) is for the sole use of the 
intended recipient(s) and may contain confidential and privileged information. If the 
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Re: [R] cumulative distribution functions

2003-11-17 Thread Duncan Murdoch
On Mon, 17 Nov 2003 18:30:08 -, Monica Palaseanu-Lovejoy
[EMAIL PROTECTED] wrote :

hi y'all,

I am wondering if there is any special command, function, 
package, etc to help me doing a cumulative distribution function, 
with y-scale - probability scale.

I tried the help in R and i got the following answers:
cumsum(base)Cumulative Sums, Products, and Extremes
ecdf(stepfun)   Empirical Cumulative Distribution Function
cpgram(ts)  Plot Cumulative Periodogram

But i could not find either (stepfun) nor (ts) packages to read the 
specific help. Are they discarded? The cumsum seems not to do 
what i really was after.

You need to execute library(stepfun) before help for ecdf will work.

In general, the notation is

topic(package)  Description

and you need library(package) to see ?topic.

Duncan Murdoch

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Re: [R] ?for

2003-11-17 Thread Prof Brian Ripley
Well ^C or ESC (on Windows GUI) is the answer I would give.

On Tue, 18 Nov 2003, Ray Brownrigg wrote:

 Peter Dalgaard [EMAIL PROTECTED] writes:
  
  Prof Brian Ripley [EMAIL PROTECTED] writes:
  
   You have typed a syntactically incomplete statement: this is explained in 
   ?help.
   
   Hint: ?for and help(for) work.
  
  [Original question added back in:
  On Sun, 16 Nov 2003, Angel wrote:
  
   I have always been intrigued by why ?for (or ?if,?while,etc) leave R
   wanting for more:
?for
   +
   I know the help for these is in ?Control, but I sometimes make the
   mistake of typing ?for instead. What is R expecting me to say to finish
   the statement?
  ]
  Further hint: ? is an operator, syntactically similar to + and -. You
  can apply operators to the result of a for loop. Consider for example
  
  x - 1; - for (i in 1:10) x - x * i
  
  (? has special semantics, but that is not noticed at parse time).
  
 Unfortunately the original question still hasn't been answered
 explicitly, not even in ?help.
 Try:
  ?for
 + (i in 0) 0
 or:
  ?if
 + (T) T
 or:
  ?+
 + 0
 
 So you have to provide the rest of a syntactically complete statement.
 
 Just to see if you now understand exactly how ? works, what do you
 think:
 ? paste(help)
 will do?
 
 Ray Brownrigg
 
 

-- 
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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[R] image processing

2003-11-17 Thread Charles Annis, P.E.
Greetings, R-ians:

 

I am embarking on a project that I anticipate will require cleaning up some
noisy 2-D images, and would like to use MCMC to that end.  But I don't want
to start from scratch if someone if the R-community has already plowed that
field.  (I love mixed metaphors.)  Anyway, any advice, leads, code-snippets,
or anything else helpful would be greatly appreciated.

 

Thanks.

 

Charles Annis, P.E.

 mailto:[EMAIL PROTECTED]
[EMAIL PROTECTED]
phone: 561-352-9699
eFAX: 503-217-5849
http://www.StatisticalEngineering.com
http://www.statisticalengineering.com/ 

 


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[R] rpart postscript graphics, Mac OS

2003-11-17 Thread Kaiser Fung

I am running R on Mac OS X 10.2x.  When I create
postscript graphics of rpart tree objects, a tiny part
of the tree gets trimmed off, even when it has only a
few terminal nodes.  This happens even without fancy
but worse if fancy=T.  (This doesn't happen with
boxplot, scatter plots, etc.)  How do I fix this?

postscript(tree.eps)
plot(davb.tree, u=T)
text(davb.tree, use.n=T, fancy=F)
dev.off()

Thanks
Kais

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Re: [R] ?for

2003-11-17 Thread Marc Schwartz
On Mon, 2003-11-17 at 14:27, Prof Brian Ripley wrote:
 Well ^C or ESC (on Windows GUI) is the answer I would give.
 
 On Tue, 18 Nov 2003, Ray Brownrigg wrote:
 
  Peter Dalgaard [EMAIL PROTECTED] writes:
   
   Prof Brian Ripley [EMAIL PROTECTED] writes:
   
You have typed a syntactically incomplete statement: this is explained in 
?help.

Hint: ?for and help(for) work.
   
   [Original question added back in:
   On Sun, 16 Nov 2003, Angel wrote:
   
I have always been intrigued by why ?for (or ?if,?while,etc) leave R
wanting for more:
 ?for
+
I know the help for these is in ?Control, but I sometimes make the
mistake of typing ?for instead. What is R expecting me to say to finish
the statement?
   ]
   Further hint: ? is an operator, syntactically similar to + and -. You
   can apply operators to the result of a for loop. Consider for example
   
   x - 1; - for (i in 1:10) x - x * i
   
   (? has special semantics, but that is not noticed at parse time).
   
  Unfortunately the original question still hasn't been answered
  explicitly, not even in ?help.
  Try:
   ?for
  + (i in 0) 0
  or:
   ?if
  + (T) T
  or:
   ?+
  + 0
  
  So you have to provide the rest of a syntactically complete statement.
  
  Just to see if you now understand exactly how ? works, what do you
  think:
  ? paste(help)
  will do?
  
  Ray Brownrigg


R 1.8.1 Beta using gnome-terminal on Fedora Core 1 gives:

 ? paste(help)
help() for paste  is shown in browser /usr/bin/mozilla ...
Use  help( paste , htmlhelp=FALSE)
or   options(htmlhelp = FALSE)
to revert.


However, using ESS with emacs on the same platform gives:

 ? paste(help)

Error in help(paste(, htmlhelp = FALSE) : 
No documentation for 'paste(' in specified packages and libraries:
  you could try 'help.search(paste()'


:-)

Marc

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[R] \preformatted and $

2003-11-17 Thread Arend P. van der Veen
Hi,

I have been developing a package in R and have been working on
documentation.  I have a \details function that contains the following:

\details{

some text

\preformatted{
[my-section]
user = apv
host = 127.0.0.1
}

}

 When I run R CMD check I get an error while checking the manual.  If I
remove:

\preformatted{
[my-section]
user = apv
host = 127.0.0.1
}

and replace it with 

[my-section]
user = apv
host = 127.0.0.1

the error goes away.

Has anybody had this problem?  

I have also have a problem including a '$' in my documentation.  I
replace them with \$ which made latex happy but then \$ showed up in the
HTML and R help.

Any advice would be appreciated,
Arend van der Veen

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[R] Looking for recommendations for optimal memory settings

2003-11-17 Thread Busch, Joe
We have a Windows 2000 operating system and I need to configure the
workstations.  What are your recommendations for users with very large data
sets (300Mb)?  The systems are Dell GX240s with 512 Mbs of Ram.  What
command line or environment variables work best?


Sincerely,

Joe Busch
Urban Institute

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[R] reordering numbers in a vector

2003-11-17 Thread Merrill Birkner
Suppose you initially create a vector a-c(5,1,3,4). 
You want to sort the vector before performing specific
calculations to the numbers.  You now have the vector
[1,3,4,5].  How can you now revert back to your
initial ordering of [5,1,3,4]? Is there a specific
command or 'sort by' command that one could use?

Thanks again-

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Re: [R] reordering numbers in a vector

2003-11-17 Thread Sundar Dorai-Raj


Merrill Birkner wrote:
Suppose you initially create a vector a-c(5,1,3,4). 
You want to sort the vector before performing specific
calculations to the numbers.  You now have the vector
[1,3,4,5].  How can you now revert back to your
initial ordering of [5,1,3,4]? Is there a specific
command or 'sort by' command that one could use?

Thanks again-

I think what you want is ?order.

a - c(5, 1, 3, 4)
a.ord - a[order(a)]
HTH,
Sundar
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Re: [R] reordering numbers in a vector

2003-11-17 Thread Giovanni Petris

If you need only to sort a vector, then sort() does the job.
To go back to the original vector, the following may work:

 x - unique(rpois(30,5))
 x
[1] 8 5 3 4 6 9 2 7
 x.sorted - sort(x)
 x.sorted
[1] 2 3 4 5 6 7 8 9
 x.sorted[order(order(x))]
[1] 8 5 3 4 6 9 2 7


HTH,
Giovanni

 Date: Mon, 17 Nov 2003 15:21:18 -0800 (PST)
 From: Merrill Birkner [EMAIL PROTECTED]
 Sender: [EMAIL PROTECTED]
 Precedence: list
 
 Suppose you initially create a vector a-c(5,1,3,4). 
 You want to sort the vector before performing specific
 calculations to the numbers.  You now have the vector
 [1,3,4,5].  How can you now revert back to your
 initial ordering of [5,1,3,4]? Is there a specific
 command or 'sort by' command that one could use?
 
 Thanks again-
 
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[ Department of Mathematical Sciences  ]
[ University of Arkansas - Fayetteville, AR 72701  ]
[ Ph: (479) 575-6324, 575-8630 (fax)   ]
[ http://definetti.uark.edu/~gpetris/  ]
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[R] sampling without repetition

2003-11-17 Thread Rajarshi Guha
Hi,
  I'm trying to write a function that will divide a given range of
numbers into 3 sets using sample(), without repetition. Currently I'm
trying this approach:

r - 1:10
s1 - sample(r,size=3)

Next, I want to remove the selected elements from r and sample() from
the remainder.

r - r[ -(r=s1) ]
s2 - sample(r,size=3)

When I go to remove the elements contained in s2 from r I get an error:

r - r[ -(r=s2) ]
Error: subscript out of bounds

I'm not sure why this is happening. I tried replacing the '=' with '=='
but I get another error 

Warning message:
longer object length
is not a multiple of shorter object length in: r == s1

Essentially what I need is to get the indices into r of the elements of
s1  s2. I have looked at which but I cant seem to work out how I can
get the indices into r of all the elements of, say, s1.

Does anybody have any suggestions? (Of course if there is a more elegant
way of doing this whole thing I would appreciate any pointers)

Thanks,

---
Rajarshi Guha [EMAIL PROTECTED] http://jijo.cjb.net
GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE
---
A committee is a life form with six or more legs and no brain.
-- Lazarus Long, Time Enough For Love

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Re: [R] sampling without repetition

2003-11-17 Thread Thomas W Blackwell
Rajarshi  -

Do you want three sets, three disjoint sets, or sets of
size three ?  It's not clear what you are attempting to do.

-  tom blackwell  -  u michigan medical school  -  ann arbor  -

On Mon, 17 Nov 2003, Rajarshi Guha wrote:

 Hi,
   I'm trying to write a function that will divide a given range of
 numbers into 3 sets using sample(), without repetition. Currently I'm
 trying this approach:

 r - 1:10
 s1 - sample(r,size=3)

 Next, I want to remove the selected elements from r and sample() from
 the remainder.

 r - r[ -(r=s1) ]
 s2 - sample(r,size=3)

 When I go to remove the elements contained in s2 from r I get an error:

 r - r[ -(r=s2) ]
 Error: subscript out of bounds

 I'm not sure why this is happening. I tried replacing the '=' with '=='
 but I get another error

 Warning message:
 longer object length
 is not a multiple of shorter object length in: r == s1

 Essentially what I need is to get the indices into r of the elements of
 s1  s2. I have looked at which but I cant seem to work out how I can
 get the indices into r of all the elements of, say, s1.

 Does anybody have any suggestions? (Of course if there is a more elegant
 way of doing this whole thing I would appreciate any pointers)

 Thanks,

 ---
 Rajarshi Guha [EMAIL PROTECTED] http://jijo.cjb.net
 GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE
 ---

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Re: [R] sampling without repetition

2003-11-17 Thread Rajarshi Guha
On Mon, 2003-11-17 at 20:01, Thomas W Blackwell wrote:
 Rajarshi  -
 
 Do you want three sets, three disjoint sets, or sets of
 size three ?  It's not clear what you are attempting to do.

Sorry about that. I wanted to select 3 disjoint sets from a supplied
vector of numbers. My initial example had 

r - 1:300

but there is no guarantee that r will contain a consecutive sequence of
numbers.

---
Rajarshi Guha [EMAIL PROTECTED] http://jijo.cjb.net
GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE
---

A list is only as strong as its weakest link.
-- Don Knuth

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Re: [R] sampling without repetition

2003-11-17 Thread Thomas W Blackwell
Rajarshi  -

To obtain three disjoint subsets, I would do

indic - sample(seq(3), length(r), TRUE)
s1 - r[indic == 1]
s2 - r[indic == 2]
s3 - r[indic == 3]

Note that the sizes of the three subsets have a
joint multinomial distribution with parameters
prob = c(1/3, 1/3, 1/3)  and  n = length(r).

-  tom blackwell  -  u michigan medical school  -  ann arbor  -

On Mon, 17 Nov 2003, Rajarshi Guha wrote:

 On Mon, 2003-11-17 at 20:01, Thomas W Blackwell wrote:
  Rajarshi  -
 
  Do you want three sets, three disjoint sets, or sets of
  size three ?  It's not clear what you are attempting to do.

 Sorry about that. I wanted to select 3 disjoint sets from a supplied
 vector of numbers. My initial example had

 r - 1:300

 but there is no guarantee that r will contain a consecutive sequence of
 numbers.

 ---
 Rajarshi Guha [EMAIL PROTECTED] http://jijo.cjb.net
 GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE
 ---

 A list is only as strong as its weakest link.
 -- Don Knuth



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Re: [R] sampling without repetition

2003-11-17 Thread Tony Plate
 r - 1:30
 # Random allocation to sets
 tapply(r, sample(1:3,length(r),rep=T), c)
$1
 [1]  1  3  8 12 15 16 18 20 21 25 29
$2
 [1]  2  5  6  7  9 10 13 14 17 19 22 27 30
$3
[1]  4 11 23 24 26 28
 # Equal size sets (approximately)
 tapply(r, sample(seq(length(r))%%3), c)
$0
 [1]  1  6  9 10 12 15 22 24 28 30
$1
 [1]  2  3  4  5  8 17 18 21 23 27
$2
 [1]  7 11 13 14 16 19 20 25 26 29


At Monday 07:28 PM 11/17/2003 -0500, you wrote:
Hi,
  I'm trying to write a function that will divide a given range of
numbers into 3 sets using sample(), without repetition. Currently I'm
trying this approach:
r - 1:10
s1 - sample(r,size=3)
Next, I want to remove the selected elements from r and sample() from
the remainder.
r - r[ -(r=s1) ]
s2 - sample(r,size=3)
When I go to remove the elements contained in s2 from r I get an error:

r - r[ -(r=s2) ]
Error: subscript out of bounds
I'm not sure why this is happening. I tried replacing the '=' with '=='
but I get another error
Warning message:
longer object length
is not a multiple of shorter object length in: r == s1
Essentially what I need is to get the indices into r of the elements of
s1  s2. I have looked at which but I cant seem to work out how I can
get the indices into r of all the elements of, say, s1.
Does anybody have any suggestions? (Of course if there is a more elegant
way of doing this whole thing I would appreciate any pointers)
Thanks,

---
Rajarshi Guha [EMAIL PROTECTED] http://jijo.cjb.net
GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE
---
A committee is a life form with six or more legs and no brain.
-- Lazarus Long, Time Enough For Love
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Re: [R] sampling without repetition

2003-11-17 Thread Duncan Murdoch
On 17 Nov 2003 20:07:08 -0500, you wrote:


Sorry about that. I wanted to select 3 disjoint sets from a supplied
vector of numbers. My initial example had 

r - 1:300

but there is no guarantee that r will contain a consecutive sequence of
numbers.

It's still not clear whether the 3 sets should be of fixed size or
random size, and whether they should cover all of r or just part of
it.  Thomas' solution gave you a random partition.  If you just want 3
non-overlapping samples, each of size n, then do something like:

indices - sample(1:length(r), size=3*n)
sample1 - r[indices[1:n]]
sample2 - r[indices[(n+1):(2*n)]]
sample3 - r[indices[(2*n+1):(3*n)]]

Duncan Murdoch

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Re: [R] rpart postscript graphics, Mac OS

2003-11-17 Thread Paul Murrell
Hi

Kaiser Fung wrote:
I am running R on Mac OS X 10.2x.  When I create
postscript graphics of rpart tree objects, a tiny part
of the tree gets trimmed off, even when it has only a
few terminal nodes.  This happens even without fancy
but worse if fancy=T.  (This doesn't happen with
boxplot, scatter plots, etc.)  How do I fix this?
postscript(tree.eps)
plot(davb.tree, u=T)
text(davb.tree, use.n=T, fancy=F)
dev.off()


It's hard to see your problem without the actual data to reproduce it. 
Does it help if you precede the plot command with par(xpd=NA)?

Paul
--
Dr Paul Murrell
Department of Statistics
The University of Auckland
Private Bag 92019
Auckland
New Zealand
64 9 3737599 x85392
[EMAIL PROTECTED]
http://www.stat.auckland.ac.nz/~paul/
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[R] arima() in ts

2003-11-17 Thread Bridget
I am trying to find a way to obtain the fitted values for a model fit 
using arima() in the ts package.  I came across a suggestion in the 
mailing list archive that these values can be simply calculated as:

model-arima(t, order = c(1,1,0));
fitted-t-model$residuals;
But, the help file for arima() in the ts package describes the residuals 
values returned as being standardized residuals - I was wondering in 
what way the residuals have been standardized as they do not appear to 
always have a variance close to 1, and whether the standardization 
affects the validity of the above way of calculating the fitted values. 
 If so, is there any easy way to get the fitted values?

Bridget

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Re: [R] sampling without repetition

2003-11-17 Thread Rajarshi Guha
On Mon, 2003-11-17 at 20:31, Duncan Murdoch wrote:
 On 17 Nov 2003 20:07:08 -0500, you wrote:
 
 
 Sorry about that. I wanted to select 3 disjoint sets from a supplied
 vector of numbers. My initial example had 
 
 r - 1:300
 
 but there is no guarantee that r will contain a consecutive sequence of
 numbers.
 
 It's still not clear whether the 3 sets should be of fixed size or
 random size, and whether they should cover all of r or just part of
 it.  Thomas' solution gave you a random partition.  If you just want 3
 non-overlapping samples, each of size n, then do something like:

Sorry for not providing all the details.

The 3 sets can be of any size (which will be specified by the user of
the function) and cover all of r (ie, set1 + set2 + set3 == r)

Thanks to everybody for all the solutions.

---
Rajarshi Guha [EMAIL PROTECTED] http://jijo.cjb.net
GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9 E634 9B87 56EE
---
I'd love to go out with you, but there are important world issues that
need worrying about.

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[R] RE: relationship between two discrete variables

2003-11-17 Thread Paul Sorenson
Further to my queries re relating discrete variables I have had a couple of
tips on things I could try.  This has lead me to attempt a marginal
homogeneity test
(http://ourworld.compuserve.com/homepages/jsuebersax/margin.htm).

o  Does anyone have an opinion on whether this approach would be
appropriate?

o Does R have some built in help to do this?  I found a reference to
the McNemar test but not to the Stuart-Maxwell test.

cheers


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Re: [R] Looking for recommendations for optimal memory settings

2003-11-17 Thread Prof Brian Ripley
On Mon, 17 Nov 2003, Busch, Joe wrote:

 We have a Windows 2000 operating system and I need to configure the
 workstations.  What are your recommendations for users with very large data
 sets (300Mb)?  The systems are Dell GX240s with 512 Mbs of Ram.  What
 command line or environment variables work best?

The default ones.  Just add another 1.5Gb of RAM and then consider
using --max-mem-size, the only setting that will make any real difference.
(The next minor version of R, probably 1.9.0, will make better use of 2Gb 
under Windows than the current one, so you may want to compile up 
pre-releases of that.)

-- 
Brian D. Ripley,  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel:  +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UKFax:  +44 1865 272595

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