Re: [R] How can we ring a bell in Windows?
Duncan == Duncan Murdoch [EMAIL PROTECTED]
on Mon, 07 Mar 2005 19:32:17 + writes:
Duncan On Mon, 7 Mar 2005 18:18:37 + (GMT), Prof Brian
Duncan Ripley [EMAIL PROTECTED] wrote :
On Mon, 7 Mar 2005, Duncan Murdoch wrote:
On Tue, 8 Mar 2005 00:31:07 +0800 (CST), Lu Joseph
[EMAIL PROTECTED] wrote :
Hello useRs,
Is there a way to write code in R to ring a bell in
Windows?
If you load the tcltk package, then
tkbell()
will get you a bell on more platforms than just Windows.
If you don't want to use tcltk, then you could call the
Windows API function MessageBeep from some C code, but I
don't think we have a bell or beep function in the
standard R packages.
But there is the ANSI \a: cat(\n) works as expected,
on all platforms.
{and of course, cat(\a) was meant above}
Duncan Perhaps we should have a beep() or bell() function,
Duncan to remind those of us who never knew all the C
Duncan escapes and wouldn't have guessed that the ancient
Duncan ASCII control codes still function.
Duncan I'll put it on my list...
Duncan Duncan Murdoch
good. Yes that would be a very sensible encapsulation of
functionality.
Note that ASCII control codes don't work on all
kinds of terminals, e.g., they don't work in ESS --- but ESS
could be made to react smartly to a beep() function call.
Martin
Duncan __
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Re: [R] 3D plot not working as desired!
On Tue, 8 Mar 2005 01:50:04 -0600, [EMAIL PROTECTED] wrote : Hello R-users! I am trying to plot 3 vectors (x,y,z) of observations generated by mvrnorm in library(MASS). I tried plot3d in library(djmrgl) and scatterplot3d. But these program gives x,y,z axis which do not intersect at the origin (0,0,0). The default in R is to create axes outside the range of your data, and that's what djmrgl and scatterplot3d do. In djmrgl you can control the placement of the axes if you really want them in the middle of your data, but why would you want that?? See the example in ?axis3d for details. I searched through all the graphics related packages for R like xgobi, ggobi, grid and more. Quite confusing which one to choose. Would anyone recommend any way to plot the 3-dimensional randomly generated numbers? It would be very nice if it can create 95% confidence region ellisoid around the observations, just like the 95% confidence ellipse around the bivariate normal random numbers. I don't know a package that does that, but there probably is one. Duncan Murdoch __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] a==0 vs as.integer(a)==0 vs all.equal(a,0)
hi
?integer says:
Note that on almost all implementations of R the range of
representable integers is restricted to about +/-2*10^9: 'double's
can hold much larger integers exactly.
I am getting very confused as to when to use integers and when not to.
In my line
I need exact comparisons of large integer-valued arrays, so I often use
as.integer(),
but the above seems to tell me that doubles might be better.
Consider the following R idiom of Euclid's algorithm for the highest
common factor
of two positive integers:
gcd - function(a, b){
if (b == 0){ return(a)}
return(Recall(b, a%%b))
}
If I call this with gcd(10,12), for example, then a%%b is not an
integer, so the first
line of the function, testing b for being zero, isn't legitimate.
OK, so I have some options:
(1) stick in a - as.integer(a), b - as.integer(b) into the
function: then a%%b *will* be an
integer and the == test is appropriate
(2) use some test like abs(b) TOL for some suitable TOL (0.5?)
(3) use identical(all.equal(b,0),TRUE) like it says in identical.Rd
(4) use identical(all.equal(b,as.integer(0)),TRUE)
How does the List deal with this kind of problem?
Also, gcd() as written returns a non-integer. Would the List recommend
rewriting the last
line as
return(as.integer(Recall(b,a%%b)))
or not?
--
Robin Hankin
Uncertainty Analyst
Southampton Oceanography Centre
European Way, Southampton SO14 3ZH, UK
tel 023-8059-7743
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Re: [R] a==0 vs as.integer(a)==0 vs all.equal(a,0)
Robin Hankin [EMAIL PROTECTED] writes:
hi
?integer says:
Note that on almost all implementations of R the range of
representable integers is restricted to about +/-2*10^9: 'double's
can hold much larger integers exactly.
I am getting very confused as to when to use integers and when not to.
In my line
I need exact comparisons of large integer-valued arrays, so I often
use as.integer(),
but the above seems to tell me that doubles might be better.
Consider the following R idiom of Euclid's algorithm for the highest
common factor
of two positive integers:
gcd - function(a, b){
if (b == 0){ return(a)}
return(Recall(b, a%%b))
}
If I call this with gcd(10,12), for example, then a%%b is not an
integer, so the first
line of the function, testing b for being zero, isn't legitimate.
OK, so I have some options:
(1) stick in a - as.integer(a), b - as.integer(b) into the
function: then a%%b *will* be an
integer and the == test is appropriate
(2) use some test like abs(b) TOL for some suitable TOL (0.5?)
(3) use identical(all.equal(b,0),TRUE) like it says in identical.Rd
(4) use identical(all.equal(b,as.integer(0)),TRUE)
How does the List deal with this kind of problem?
Also, gcd() as written returns a non-integer. Would the List
recommend rewriting the last
line as
return(as.integer(Recall(b,a%%b)))
or not?
Not if you want things to work in the large-integer domain...
You're in somewhat murky waters here because it all has to do with
whether you can rely on the floating point aritmetic being exact for
integers up to 2^53. *If* that works, then there's really no reason to
distrust == in this context and the gcd() works as originally
written. You might consider wrapping it in a function that checks
whether a and b are both (1) in range and (2) that they are integers
in the sense that round(x)==x. (Failing 2, you likely get an infinite
recursion).
--
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] a==0 vs as.integer(a)==0 vs all.equal(a,0)
On Tue, 8 Mar 2005 09:03:43 +, Robin Hankin
[EMAIL PROTECTED] wrote :
hi
?integer says:
Note that on almost all implementations of R the range of
representable integers is restricted to about +/-2*10^9: 'double's
can hold much larger integers exactly.
I am getting very confused as to when to use integers and when not to.
In my line
I need exact comparisons of large integer-valued arrays, so I often use
as.integer(),
but the above seems to tell me that doubles might be better.
Consider the following R idiom of Euclid's algorithm for the highest
common factor
of two positive integers:
gcd - function(a, b){
if (b == 0){ return(a)}
return(Recall(b, a%%b))
}
If I call this with gcd(10,12), for example, then a%%b is not an
integer, so the first
line of the function, testing b for being zero, isn't legitimate.
When you say it isn't legitimate, you mean that it violates the advice
never to use exact comparison on floating point values?
I think that's just advice, it's not a hard and fast rule. If you
happen to know that the values being compared have been calculated and
stored exactly, then == is valid. In your function, when a and b
are integers that are within some range (I'm not sure what it is, but
it approaches +/- 2^53), the %% operator should return exact results.
(Does it do so on all platforms? I'm not sure, but I'd call it a bug
if it didn't unless a and/or b were very close to the upper limit of
exactly representable integers.)
Do you know of examples where a and b are integers stored in floating
point, and a %% b returns a value that is different from as.integer(a)
%% as.integer(b)?
OK, so I have some options:
(1) stick in a - as.integer(a), b - as.integer(b) into the
function: then a%%b *will* be an
integer and the == test is appropriate
(2) use some test like abs(b) TOL for some suitable TOL (0.5?)
(3) use identical(all.equal(b,0),TRUE) like it says in identical.Rd
(4) use identical(all.equal(b,as.integer(0)),TRUE)
I'd suggest
(5) Use your gcd function almost as above, but modified to work on
vectors:
gcd - function(a, b){
result - a
nonzero - b != 0
if (any(nonzero))
result[nonzero] - Recall(b[nonzero], a[nonzero] %% b[nonzero])
return(result)
}
How does the List deal with this kind of problem?
Also, gcd() as written returns a non-integer. Would the List recommend
rewriting the last
line as
return(as.integer(Recall(b,a%%b)))
or not?
I'd say not. Your original function returns integer when both a and b
are stored as integers, and double when at least one of them is not.
That seems like reasonable behaviour to me.
Duncan Murdoch
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Re: [R] a==0 vs as.integer(a)==0 vs all.equal(a,0)
On Tue, 8 Mar 2005, Duncan Murdoch wrote:
On Tue, 8 Mar 2005 09:03:43 +, Robin Hankin
[EMAIL PROTECTED] wrote :
hi
?integer says:
Note that on almost all implementations of R the range of
representable integers is restricted to about +/-2*10^9: 'double's
can hold much larger integers exactly.
I am getting very confused as to when to use integers and when not to.
In my line
I need exact comparisons of large integer-valued arrays, so I often use
as.integer(),
but the above seems to tell me that doubles might be better.
Consider the following R idiom of Euclid's algorithm for the highest
common factor
of two positive integers:
gcd - function(a, b){
if (b == 0){ return(a)}
return(Recall(b, a%%b))
}
If I call this with gcd(10,12), for example, then a%%b is not an
integer, so the first
line of the function, testing b for being zero, isn't legitimate.
When you say it isn't legitimate, you mean that it violates the advice
never to use exact comparison on floating point values?
I think that's just advice, it's not a hard and fast rule. If you
happen to know that the values being compared have been calculated and
stored exactly, then == is valid. In your function, when a and b
are integers that are within some range (I'm not sure what it is, but
it approaches +/- 2^53), the %% operator should return exact results.
(Does it do so on all platforms? I'm not sure, but I'd call it a bug
if it didn't unless a and/or b were very close to the upper limit of
exactly representable integers.)
It is supposed to do so up to (but not including)
.Machine$double.base ^ .Machine$double.digits,
normally 2^53, irrespective of sign. (These are computed at run-time,
so one can be pretty confident about them, at least if your FPU is
bug-free.)
Do you know of examples where a and b are integers stored in floating
point, and a %% b returns a value that is different from as.integer(a)
%% as.integer(b)?
Yes (see the NEWS for R-devel), but only for large integers where the
second is NA.
--
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] Mascotanet
Estimado visitante, Por el momento no nos es posible responder a su correo, estamos trabajando para que en fecha próxima podamos resolver sus dudas y/o comentarios. Atentamente. Mascotanet.com __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] To convert an adjacency list model into a nested set model
Dear R-help I am wondering if somebody wrote some code to convert an adjacency list model into a nested set model. In principal I want to do the same as John Celko mentioned it here with SQL: http://groups.google.co.uk/groups?hl=enlr=lang_enselm=8j0n05%24n31%241 %40nnrp1.deja.com Assume you have a tree structure like this Albert / \ / \ BertChuck /| \ / | \ /| \ / | \ DonnaEddie Fred in an adjacency list model: emp=c(Albert, Bert, Chuck, Donna, Eddie, Fred) boss=c(NA, Albert, Albert, Chuck, Chuck, Chuck) print(Personnel-data.frame(emp, boss)) emp boss 1 Albert NA 2 Bert Albert 3 Chuck Albert 4 Donna Chuck 5 Eddie Chuck 6 Fred Chuck Then it is quite hard to find the all the supervisors of one employee. John's suggestion is to convert the adjacency list model into a nested set model. The organizational chart would look like this as a directed graph: Albert (1,12) /\ /\ Bert (2,3)Chuck (4,11) /| \ / | \ /| \ / | \ Donna (5,6) Eddie (7,8) Fred (9,10) The data is than stored in the following form: lft=c(1,2,4,5,7,9) rgt=c(12,3,11,6,8,10) print(Per-data.frame(emp, lft, rgt)) emp lft rgt 1 Albert 1 12 2 Bert 2 3 3 Chuck 4 11 4 Donna 5 6 5 Eddie 7 8 6 Fred 9 10 To find now the supervisor of an employee all you have to do is to look where the employees lft figure is between lft and rgt. The supervisors of Eddie are therefore subset(Per, lft 7 rgt 7) emp lft rgt 1 Albert 1 12 3 Chuck 4 11 In the site mentioned above John provides also some code to transform a adjacency list model into a nested set model. Does somebody know if there is already a package for this in R? Kind Regards Markus Gesmann LNSCNTMCS01*** The information in this E-Mail and in any attachments is CONFIDENTIAL and may be privileged. If you are NOT the intended recipient, please destroy this message and notify the sender immediately. You should NOT retain, copy or use this E-mail for any purpose, nor disclose all or any part of its contents to any other person or persons. Any views expressed in this message are those of the individual sender, EXCEPT where the sender specifically states them to be the views of Lloyd's. Lloyd's may monitor the content of E-mails sent and received via its network for viruses or unauthorised use and for other lawful business purposes. Lloyd's is authorised under the Financial Services and Markets Act 2000 __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] How can we ring a bell in Windows?
On Tue, 8 Mar 2005, Martin Maechler wrote:
Duncan == Duncan Murdoch [EMAIL PROTECTED]
on Mon, 07 Mar 2005 19:32:17 + writes:
Duncan On Mon, 7 Mar 2005 18:18:37 + (GMT), Prof Brian
Duncan Ripley [EMAIL PROTECTED] wrote :
On Mon, 7 Mar 2005, Duncan Murdoch wrote:
On Tue, 8 Mar 2005 00:31:07 +0800 (CST), Lu Joseph
[EMAIL PROTECTED] wrote :
Hello useRs,
Is there a way to write code in R to ring a bell in
Windows?
If you load the tcltk package, then
tkbell()
will get you a bell on more platforms than just Windows.
If you don't want to use tcltk, then you could call the
Windows API function MessageBeep from some C code, but I
don't think we have a bell or beep function in the
standard R packages.
But there is the ANSI \a: cat(\n) works as expected,
on all platforms.
{and of course, cat(\a) was meant above}
Duncan Perhaps we should have a beep() or bell() function,
Duncan to remind those of us who never knew all the C
Duncan escapes and wouldn't have guessed that the ancient
Duncan ASCII control codes still function.
Well, they are in the current C99 standard, section 5.2.2.
Duncan I'll put it on my list...
Duncan Duncan Murdoch
good. Yes that would be a very sensible encapsulation of
functionality.
Note that ASCII control codes don't work on all
kinds of terminals, e.g., they don't work in ESS --- but ESS
could be made to react smartly to a beep() function call.
Why does ESS implement only some of the ANSI/C control codes? That looks
like an ESS deficiency. I have never come across any other terminal that
did not. These are in the ISO C standard, although the a is for
alarm, and that need not be a sound (it says audible or visible).
So alarm() would be better than beep().
Would it not be better to correct the problem in ESS: there are lots of
other ways that \a might be sent to stdout?
--
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] Quantian
Congratulations Dirk on the article in linuxtoday.com today about Quantian. -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Non-linear minimization
hello, I have got some trouble with R functions nlm(), nls() or optim() : I would like to fit 3 parameters which must stay in a precise interval. For exemple with nlm() : fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2) out-nlm(fn, p=c(4, 17, 5), hessian=TRUE,print.level=2) with estdata() a function which returns value to fit with dN (observed data vactor) My problem is that only optim() allows me to set parameters interval with L-BFGS-B method but this one doesn't work in my case. I have heard about nls2 package (www.inra.fr/bia) but it doesn't work on Windows. Do you know any solutions Thank's a lot for reading my post Best regards Sebastien INA P-G ecology dpt __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Non-linear minimization
Sébastien Ballesteros wrote: hello, I have got some trouble with R functions nlm(), nls() or optim() : I would like to fit 3 parameters which must stay in a precise interval. For exemple with nlm() : fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2) out-nlm(fn, p=c(4, 17, 5), hessian=TRUE,print.level=2) with estdata() a function which returns value to fit with dN (observed data vactor) My problem is that only optim() allows me to set parameters interval with L-BFGS-B method but this one doesn't work in my case. I have heard about nls2 package (www.inra.fr/bia) but it doesn't work on Windows. it doesn't work on Windows is a very gentle description in this particular case... Do you know any solutions A typical trick is to redefine the function so that for points outside the boundaries increasing penalties are added (if you know enough about your function). Uwe Ligges Thank's a lot for reading my post Best regards Sebastien INA P-G ecology dpt __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
RE: [R] Non-linear minimization
I have had my best luck by re-parametrizing so that I no longer needed restrictions. For example, if parameters must be positive, then I optimize over parameters in log space, taking the exponential within my function. This requires small changes to the function I'm optimizing (and the gradient, if supplied), but, for me at least, has worked better than trying to enforce box constraints as in L-BFGS-B. Hope this helps, Matt Wiener -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Sébastien Ballesteros Sent: Tuesday, March 08, 2005 8:24 AM To: r-help@stat.math.ethz.ch Subject: [R] Non-linear minimization hello, I have got some trouble with R functions nlm(), nls() or optim() : I would like to fit 3 parameters which must stay in a precise interval. For exemple with nlm() : fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2) out-nlm(fn, p=c(4, 17, 5), hessian=TRUE,print.level=2) with estdata() a function which returns value to fit with dN (observed data vactor) My problem is that only optim() allows me to set parameters interval with L-BFGS-B method but this one doesn't work in my case. I have heard about nls2 package (www.inra.fr/bia) but it doesn't work on Windows. Do you know any solutions Thank's a lot for reading my post Best regards Sebastien INA P-G ecology dpt __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Non-linear minimization
maybe you could re-parameterize the problem, e.g., p \in (a, b) p^* = (p - a) / (b - a) \in (0, 1) x = qlogis(p^*) \in \Re I hope it helps. Best, Dimitris Dimitris Rizopoulos Ph.D. Student Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/16/336899 Fax: +32/16/337015 Web: http://www.med.kuleuven.ac.be/biostat/ http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm - Original Message - From: Sébastien Ballesteros [EMAIL PROTECTED] To: r-help@stat.math.ethz.ch Sent: Tuesday, March 08, 2005 2:23 PM Subject: [R] Non-linear minimization hello, I have got some trouble with R functions nlm(), nls() or optim() : I would like to fit 3 parameters which must stay in a precise interval. For exemple with nlm() : fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2) out-nlm(fn, p=c(4, 17, 5), hessian=TRUE,print.level=2) with estdata() a function which returns value to fit with dN (observed data vactor) My problem is that only optim() allows me to set parameters interval with L-BFGS-B method but this one doesn't work in my case. I have heard about nls2 package (www.inra.fr/bia) but it doesn't work on Windows. Do you know any solutions Thank's a lot for reading my post Best regards Sebastien INA P-G ecology dpt __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Dataframe modification
Hello, I have a problem and wish if anybody have a quick solution or function or if this question was asked before and you could give me the date to look in the archives for the response. My problem is that I have a dataframe D[663,40] with only one column with repeated values lines and a factor with 4 levels. I want to reorganize my dataframe, create a dataframe D1[x,40*4] and put the repeated values in one line so that all the factors will be in columns. For the values with a missing level factor I want to keep empty the concerning place. For example if i a have this dataframe: A B C 32 a 14 32 b 22 55 a 44 55 b 77 55 c 55 55 d 44 83 c 77 83 d 55 83 e 44 I want to transform it to have this one: 32 a 14 b 22 55 a 44 b 77 c 55 83 c 77 d 55 e 44 Thanks best regards __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] ESS
Hi all, I have got a dataframe in coma delimted text format. My ESS and R processes are working well and active. I can read R help files and documentations from inside ESS. Can I perform anayltical operations such as (glm, plot ect) on elements of my dataframe (variables) from within ESS? I could do these tasks directly in Rconsole and would like to them in ESS directly. How can I sumbit commandlines relevant to my datafrom to R? Thanks for your help Cheers Mahdi -- --- Mahdi Osman (PhD) E-mail: [EMAIL PROTECTED] --- DSL Komplett von GMX +++ Supergünstig und stressfrei einsteigen! AKTION Kein Einrichtungspreis nutzen: http://www.gmx.net/de/go/dsl __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Dataframe modification
Ramzi Feghali ramzi_feg at yahoo.fr writes: : : Hello, : I have a problem and wish if anybody have a quick : solution or function or if this question was asked : before and you could give me the date to look in the : archives for the response. : My problem is that I have a dataframe D[663,40] with : only one column with repeated values lines and a : factor with 4 levels. : I want to reorganize my dataframe, create a dataframe : D1[x,40*4] and put the repeated values in one line so : that all the factors will be in columns. For the : values with a missing level factor I want to keep : empty the concerning place. : For example if i a have this dataframe: : : A B C : 32a 14 : 32b 22 : 55a 44 : 55b 77 : 55c 55 : 55d 44 : 83c 77 : 83d 55 : 83e 44 : I want to transform it to have this one: : : 32a 14 b 22 : 55a 44 b 77 c 55 : 83c 77 d 55 e 44 : Is this good enough? R # first solution R reshape(D, idvar=A, timevar=B, direction = wide) A C.a C.b C.c C.d C.e 1 32 14 22 NA NA NA 3 55 44 77 55 44 NA 7 83 NA NA 77 55 44 R # second solution R xtabs(C ~ A + B, D) B A a b c d e 32 14 22 0 0 0 55 44 77 55 44 0 83 0 0 77 55 44 __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] ESS
try and read the ess manual a bit and look at the folowing reference card http://stat.ethz.ch/ESS/refcard.pdf On Tue, 8 Mar 2005, Mahdi Osman wrote: Hi all, I have got a dataframe in coma delimted text format. My ESS and R processes are working well and active. I can read R help files and documentations from inside ESS. Can I perform anayltical operations such as (glm, plot ect) on elements of my dataframe (variables) from within ESS? I could do these tasks directly in Rconsole and would like to them in ESS directly. How can I sumbit commandlines relevant to my datafrom to R? Thanks for your help Cheers Mahdi -- --- Mahdi Osman (PhD) E-mail: [EMAIL PROTECTED] --- DSL Komplett von GMX +++ Supergünstig und stressfrei einsteigen! AKTION Kein Einrichtungspreis nutzen: http://www.gmx.net/de/go/dsl __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Job: Life Sciences Statistical Computing, Insightful Corp. Seattle
Insightful is searching for a candidate to fill a technology position whose primary function is to develop commercial software for statistical analysis of large experimental bioinformatics/genomics data sets. Tools include supervised and unsupervised machine learning techniques, with applications to assist the practicing scientist or clinician in understanding the underlying biology. Utilize your background in statistical algorithms, data analysis, computational mathematics, and commercial software development to create state-of-the-art analytical software solutions for data analysis. Insightful is an environment where you can make a difference through innovation, drive, and passion. Full details at: http://www.insightful.com/company/jobdescription.asp?JobID=58 Please, email contact only to [EMAIL PROTECTED] Jill Goldschneider, Ph.D. Director of Research Insightful Corporation 1700 Westlake Ave N., Suite 500 Seattle, WA 98109-3044 [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Pattern recognition
Dear group, A data matrix when plotted as a line plot, I see several patterns. For example, how my students performed for different courses they took this academic year. I need to find out a pattern divided into three categories... say excellent, mediocral and worst. How can I be able to fix a threshold and seperate the patterns into these 3 categories. The question being asked is: I want to pick those students who are exceptionally good in a course and exceptionally bad in a course (here 2 bins) and third category being, for a given course i did not see any students who performed either good or bad (pretty much a straight line or all students behave the same way). my question is Can I do this in R. If so, would you please suggest some good tutorials, considering the fact that i am not a statistician. The arbitarary matrix is: a,b,c,d - On X-axis Stu. 1 - 5 : on Y-axis, Stu1 stu2stu3 stu4 stu5 a 1 2 7 3 2 b 2 2 3 2 3 c 2 1 2 3 2 d 1 2 6 2 1 Thanks P. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Pattern recognition
A small correction: a,b,c,d - On X-axis course points : on Y-axis for all students. 2. I do not know if this can be called pattern recognition. What i mean is the line patterns in the line graph. P --- S Peri [EMAIL PROTECTED] wrote: Dear group, A data matrix when plotted as a line plot, I see several patterns. For example, how my students performed for different courses they took this academic year. I need to find out a pattern divided into three categories... say excellent, mediocral and worst. How can I be able to fix a threshold and seperate the patterns into these 3 categories. The question being asked is: I want to pick those students who are exceptionally good in a course and exceptionally bad in a course (here 2 bins) and third category being, for a given course i did not see any students who performed either good or bad (pretty much a straight line or all students behave the same way). my question is Can I do this in R. If so, would you please suggest some good tutorials, considering the fact that i am not a statistician. The arbitarary matrix is: a,b,c,d - On X-axis Stu. 1 - 5 : on Y-axis, Stu1 stu2stu3 stu4 stu5 a 1 2 7 3 2 b 2 2 3 2 3 c 2 1 2 3 2 d 1 2 6 2 1 Thanks P. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] To convert an adjacency list model into a nested set model
Gesmann, Markus Markus.Gesmann at lloyds.com writes: : : Dear R-help : : I am wondering if somebody wrote some code to convert an adjacency list : model into a nested set model. : In principal I want to do the same as John Celko mentioned it here with : SQL: : http://groups.google.co.uk/groups?hl=enlr=lang_enselm=8j0n05%24n31%241 : %40nnrp1.deja.com : : Assume you have a tree structure like this : Albert : / \ :/ \ : BertChuck :/| \ : / | \ :/| \ : / | \ : DonnaEddie Fred : : in an adjacency list model: : : emp=c(Albert, Bert, Chuck, Donna, Eddie, Fred) : boss=c(NA, Albert, Albert, Chuck, Chuck, Chuck) : print(Personnel-data.frame(emp, boss)) : emp boss : 1 Albert NA : 2 Bert Albert : 3 Chuck Albert : 4 Donna Chuck : 5 Eddie Chuck : 6 Fred Chuck : : Then it is quite hard to find the all the supervisors of one employee. : John's suggestion is to convert the adjacency list model into a nested : set model. : The organizational chart would look like this as a directed graph: : : Albert (1,12) : /\ : /\ : Bert (2,3)Chuck (4,11) :/| \ : / | \ :/| \ : / | \ : Donna (5,6) Eddie (7,8) Fred (9,10) : : The data is than stored in the following form: : : lft=c(1,2,4,5,7,9) : rgt=c(12,3,11,6,8,10) : print(Per-data.frame(emp, lft, rgt)) : emp lft rgt : 1 Albert 1 12 : 2 Bert 2 3 : 3 Chuck 4 11 : 4 Donna 5 6 : 5 Eddie 7 8 : 6 Fred 9 10 : : To find now the supervisor of an employee all you have to do is to look : where the employees lft figure is between lft and rgt. The supervisors : of Eddie are therefore : subset(Per, lft 7 rgt 7) : emp lft rgt : 1 Albert 1 12 : 3 Chuck 4 11 : : In the site mentioned above John provides also some code to transform a : adjacency list model into a nested set model. : Does somebody know if there is already a package for this in R? : : Kind Regards : : Markus Gesmann : This is not a direct answer to getting a nesting from an adjacency but the following is easy to do and gives all the same info. Note that if A is the adjacency matrix of children (rows) and ] parents (columns) then A^n is the matrix defining ancestors n generations away and exp(A) is a weighted version of that with A^i weighted by i! (These expressions are mathematics, not R.) Thus: empf - factor(emp, level = union(emp, boss)) # emp as factor bossf - factor(boss, level = union(emp, boss)) # ditto for boss adj - table(empf, bossf) # i,j is 1 if j is boss of i library(rmutil) # http://popgen.unimaas.nl/~jlindsey/rcode.html mexp(adj, type = series) - diag(length(empf)) giving a matrix whose i,j-th entry is 1/n! if j is n-generations above i. From that you can get the info you need. __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Multidimensional Scaling (MDS) in R
Hi;
I am working with the similarity matrix below and I would like to plot
a two-dimensional MDS solution such as each point in the plot has a
label.
This is what I did:
data - read.table('c:/multivariate/mds/colour.txt',header=FALSE)
similarity - as.dist(data)
distance - 1-similarity
result.nmds - nmds(distance)
plot(result.nmds)
(nmds and plot.nmds as defined at
labdsv.nr.usu.edu/splus_R/lab8/lab8.html; nmds simply calls isoMDS)
Colour.txt, containing the similaity matrix, reads as follows:
1.0 .86 .42 .42 .18 .06 .07 .04 .02 .07 .09 .12 .13 .16
.86 1.0 .50 .44 .22 .09 .07 .07 .02 .04 .07 .11 .13 .14
.42 .50 1.0 .81 .47 .17 .10 .08 .02 .01 .02 .01 .05 .03
.42 .44 .81 1.0 .54 .25 .10 .09 .02 .01 .01 .01 .02 .04
.18 .22 .47 .54 1.0 .61 .31 .26 .07 .02 .02 .01 .02 .01
.06 .09 .17 .25 .61 1.0 .62 .45 .14 .08 .02 .02 .02 .01
.07 .07 .10 .10 .31 .62 1.0 .73 .22 .14 .05 .02 .02 .01
.04 .07 .08 .09 .26 .45 .73 1.0 .33 .19 .04 .03 .02 .02
.02 .02 .02 .02 .07 .14 .22 .33 1.0 .58 .37 .27 .20 .23
.07 .04 .01 .01 .02 .08 .14 .19 .58 1.0 .74 .50 .41 .28
.09 .07 .02 .01 .02 .02 .05 .04 .37 .74 1.0 .76 .62 .55
.12 .11 .01 .01 .01 .02 .02 .03 .27 .50 .76 1.0 .85 .68
.13 .13 .05 .02 .02 .02 .02 .02 .20 .41 .62 .85 1.0 .76
.16 .14 .03 .04 .01 .01 .01 .02 .23 .28 .55 .68 .76 1.0
The first row corresponds to colour 1 (C1), the second to colour 2
(C2), and so on.
First, I'm not sure if this is correct or not. Second, obviously the
points in the plot are not labeled. I suppose I must add a labels
column and then print the labels together with the results. But, how
should I do it?
Many thanks,
Isaac
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[R] The null hypothesis in kpss test (kpss.test())
is that 'x' is level or trend stationary. I did this s-rnorm(1000) kpss.test(s) KPSS Test for Level Stationarity data: s KPSS Level = 0.0429, Truncation lag parameter = 7, p-value = 0.1 Warning message: p-value greater than printed p-value in: kpss.test(s) My question is whether p=0.1 is a good number to reject N0? On the other hand, I have a series r and did the following: plot.ts(r) kpss.test(r) KPSS Test for Level Stationarity data: r KPSS Level = 3.1955, Truncation lag parameter = 7, p-value = 0.01 Warning message: p-value smaller than printed p-value in: kpss.test(r) So this says we can have more confidence in saying r is _not_ stationary? Should I worry about the warnings? Thanks very much. Weiguang __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] The null hypothesis in kpss test (kpss.test())
As help(kpss.test) tells you: kpss.test() approximates the p values by interpolation from a simulated table of critical values. As p values larger than 0.1 are typically regarded to be non-significant and p values smaller than 0.01 are typically regarded to be highly significant, the corresponding critical values are only stored for the range 0.1 to 0.01. Hence... On Tue, 8 Mar 2005 12:51:37 -0500 (EST) Weiguang Shi wrote: is that 'x' is level or trend stationary. I did this s-rnorm(1000) kpss.test(s) KPSS Test for Level Stationarity data: s KPSS Level = 0.0429, Truncation lag parameter = 7, p-value = 0.1 Warning message: p-value greater than printed p-value in: kpss.test(s) My question is whether p=0.1 is a good number to reject N0? ...stationarity cannot be rejected here (which is not surprising) and... On the other hand, I have a series r and did the following: plot.ts(r) kpss.test(r) KPSS Test for Level Stationarity data: r KPSS Level = 3.1955, Truncation lag parameter = 7, p-value = 0.01 Warning message: p-value smaller than printed p-value in: kpss.test(r) ...stationarity is clearly rejected here. So this says we can have more confidence in saying r is _not_ stationary? Yes (I guess. I'm not sure about `more confidence'...`more' than what?) Z Should I worry about the warnings? Thanks very much. Weiguang __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] The null hypothesis in kpss test (kpss.test())
Understood! And thanks! Weiguang --- Achim Zeileis [EMAIL PROTECTED] wrote: As help(kpss.test) tells you: kpss.test() approximates the p values by interpolation from a simulated table of critical values. As p values larger than 0.1 are typically regarded to be non-significant and p values smaller than 0.01 are typically regarded to be highly significant, the corresponding critical values are only stored for the range 0.1 to 0.01. Hence... __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] removing message: [Previously saved workspace restored]
Dear All, I saved by mistake the environment I was working in after typing q(), and now I get the annoying message: [Previously saved workspace restored] I have already deleted all the objects in the environment, saving it as an empty environment, so it's just a matter of nitpicking I suppose. The message does not appear if I start R from any other place in the directory tree. I am reading ?Startup and related docs, but I am utterly failing to understand how to remove [Previously saved workspace restored] when I call R from the offending dir... I am using R on Debian Sarge x86 Cheers, Federico Calboli -- Federico C. F. Calboli Department of Epidemiology and Public Health Imperial College, St Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 7594 1602 Fax (+44) 020 7594 3193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] removing message: [Previously saved workspace restored]
R saves the workspace in a file called '.RData'. Simply remove this file from your working directory. Or if you startup R and get the message, try unlink(.RData) -roger Federico Calboli wrote: Dear All, I saved by mistake the environment I was working in after typing q(), and now I get the annoying message: [Previously saved workspace restored] I have already deleted all the objects in the environment, saving it as an empty environment, so it's just a matter of nitpicking I suppose. The message does not appear if I start R from any other place in the directory tree. I am reading ?Startup and related docs, but I am utterly failing to understand how to remove [Previously saved workspace restored] when I call R from the offending dir... I am using R on Debian Sarge x86 Cheers, Federico Calboli -- Roger D. Peng http://www.biostat.jhsph.edu/~rpeng/ __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
RE: [R] removing message: [Previously saved workspace restored]
On Tue, 2005-03-08 at 15:57 -0500, Wiener, Matthew wrote: Remove the (now empty, because you deleted all objects) file .RData from the directory. Hope this helps, Thanks, it did fix the problem. Cheers, Federico Calboli -- Federico C. F. Calboli Department of Epidemiology and Public Health Imperial College, St Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 7594 1602 Fax (+44) 020 7594 3193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
RE: [R] removing message: [Previously saved workspace restored]
Either remove .RData in the directory, or start R with --no-restore option. Andy From: Federico Calboli Dear All, I saved by mistake the environment I was working in after typing q(), and now I get the annoying message: [Previously saved workspace restored] I have already deleted all the objects in the environment, saving it as an empty environment, so it's just a matter of nitpicking I suppose. The message does not appear if I start R from any other place in the directory tree. I am reading ?Startup and related docs, but I am utterly failing to understand how to remove [Previously saved workspace restored] when I call R from the offending dir... I am using R on Debian Sarge x86 Cheers, Federico Calboli -- Federico C. F. Calboli Department of Epidemiology and Public Health Imperial College, St Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 7594 1602 Fax (+44) 020 7594 3193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] removing message: [Previously saved workspace restored]
On Tue, Mar 08, 2005 at 08:51:44PM +, Federico Calboli wrote: I saved by mistake the environment I was working in after typing q(), and now I get the annoying message: [Previously saved workspace restored] I have already deleted all the objects in the environment, saving it as an empty environment, so it's just a matter of nitpicking I suppose. The message does not appear if I start R from any other place in the directory tree. I am reading ?Startup and related docs, but I am utterly failing to understand how to remove [Previously saved workspace restored] when I call R from the offending dir... I am using R on Debian Sarge x86 There is a file called .Rdata, containing the saved workspace, in the offending directory. Following Unix convention, the file is not normally displayed by ls and other programs because its name begins with a dot. See Data permanency and removing objects in the R-intro. If you don't want the saved stuff anymore, simply delete that file. Best regards, Jan -- +- Jan T. Kim ---+ |*NEW*email: [EMAIL PROTECTED] | |*NEW*WWW: http://www.cmp.uea.ac.uk/people/jtk | *-= hierarchical systems are for files, not for humans =-* __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] removing message: [Previously saved workspace restored]
On Tue, 08 Mar 2005 20:51:44 + Federico Calboli wrote: Dear All, I saved by mistake the environment I was working in after typing q(), and now I get the annoying message: [Previously saved workspace restored] I have already deleted all the objects in the environment, saving it as an empty environment, so it's just a matter of nitpicking I suppose. The message does not appear if I start R from any other place in the directory tree. The saved workspace is stored in the .RData in that particular directory. It is loaded when you start R in that directory. If you remove the file, it cannot be loaded anymore. Z I am reading ?Startup and related docs, but I am utterly failing to understand how to remove [Previously saved workspace restored] when I call R from the offending dir... I am using R on Debian Sarge x86 Cheers, Federico Calboli -- Federico C. F. Calboli Department of Epidemiology and Public Health Imperial College, St Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 7594 1602 Fax (+44) 020 7594 3193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] generically setting attributes of a function
Hello all: I wonder if there is a generic way to assign the name of a function as an attribute of the function. For example, w = function(x) x^2; attr(w, name) = w; This assigns the name attribute of function w to be w. Would it be possible to put the second line of the code inside the function definition? I would like to avoid typing specifically the name, w, when assigning the attribute. Many thanks in advance. Fang __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] generically setting attributes of a function
shang stud facS93 at mors.hampshire.edu writes: : : Hello all: : : I wonder if there is a generic way to assign the name of a function as an : attribute of the function. For example, : : w = function(x) x^2; : attr(w, name) = w; : : This assigns the name attribute of function w to be w. : : Would it be possible to put the second line of the code inside the : function definition? I would like to avoid typing specifically the : name, w, when assigning the attribute. : structure(function(x) x^2, name = w) __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
RE: [R] how modify object in parent.env
This isn't an environment problem. Assigning something to a get call doesn't make any sense. Use assign. a - 5 get(a) - 10 Error: couldn't find function get- And from the ?assign help page, you can pick what environment you want to make the assignment. Just pick the parent environment. -Original Message- From: Vadim Ogranovich [mailto:[EMAIL PROTECTED] Sent: Tuesday, March 08, 2005 6:36 PM To: r-help@stat.math.ethz.ch Subject: [R] how modify object in parent.env Hi, Is it possible to modify an object in the parent.env (as opposed to re-bind)? Here is what I tried: x = 1:3 # try to modify the first element of x from within a new environment local(get(x, parent.env(environment()))[1] - NA) Error in eval(expr, envir, enclos) : Target of assignment expands to non-language object # On the other hand retrieval works just fine local(get(x, parent.env(environment()))[1]) [1] 1 Thanks, Vadim __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
RE: [R] how modify object in parent.env
Assign() re-binds the value, not modifies it (the latter is what I needed) -Original Message- From: McGehee, Robert [mailto:[EMAIL PROTECTED] Sent: Tuesday, March 08, 2005 3:48 PM To: Vadim Ogranovich; r-help@stat.math.ethz.ch Subject: RE: [R] how modify object in parent.env This isn't an environment problem. Assigning something to a get call doesn't make any sense. Use assign. a - 5 get(a) - 10 Error: couldn't find function get- And from the ?assign help page, you can pick what environment you want to make the assignment. Just pick the parent environment. -Original Message- From: Vadim Ogranovich [mailto:[EMAIL PROTECTED] Sent: Tuesday, March 08, 2005 6:36 PM To: r-help@stat.math.ethz.ch Subject: [R] how modify object in parent.env Hi, Is it possible to modify an object in the parent.env (as opposed to re-bind)? Here is what I tried: x = 1:3 # try to modify the first element of x from within a new environment local(get(x, parent.env(environment()))[1] - NA) Error in eval(expr, envir, enclos) : Target of assignment expands to non-language object # On the other hand retrieval works just fine local(get(x, parent.env(environment()))[1]) [1] 1 Thanks, Vadim __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] how modify object in parent.env
On Tue, 2005-03-08 at 15:36 -0800, Vadim Ogranovich wrote:
Hi,
Is it possible to modify an object in the parent.env (as opposed to
re-bind)? Here is what I tried:
x = 1:3
# try to modify the first element of x from within a new environment
local(get(x, parent.env(environment()))[1] - NA)
Error in eval(expr, envir, enclos) : Target of assignment expands to
non-language object
# On the other hand retrieval works just fine
local(get(x, parent.env(environment()))[1])
[1] 1
You could try this:
x - 1:3
mod.x - function(x)
{
eval.parent(substitute(x[1] - NA))
}
x
[1] 1 2 3
mod.x(x)
x
[1] NA 2 3
See ?eval.parent for more information and variations on this.
HTH,
Marc Schwartz
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Re: [R] how modify object in parent.env
You can use - like this: x - 1:3 local(x[1] - x[1]+1) Vadim Ogranovich vograno at evafunds.com writes: : : Assign() re-binds the value, not modifies it (the latter is what I : needed) : : -Original Message- : From: McGehee, Robert [mailto:Robert.McGehee at geodecapital.com] : Sent: Tuesday, March 08, 2005 3:48 PM : To: Vadim Ogranovich; r-help at stat.math.ethz.ch : Subject: RE: [R] how modify object in parent.env : : This isn't an environment problem. Assigning something to a : get call doesn't make any sense. Use assign. : : a - 5 : get(a) - 10 : Error: couldn't find function get- : : And from the ?assign help page, you can pick what environment : you want to make the assignment. Just pick the parent environment. : : : -Original Message- : From: Vadim Ogranovich [mailto:vograno at evafunds.com] : Sent: Tuesday, March 08, 2005 6:36 PM : To: r-help at stat.math.ethz.ch : Subject: [R] how modify object in parent.env : : : Hi, : : Is it possible to modify an object in the parent.env (as opposed to : re-bind)? Here is what I tried: : : x = 1:3 : # try to modify the first element of x from within a new environment : local(get(x, parent.env(environment()))[1] - NA) : Error in eval(expr, envir, enclos) : Target of assignment expands to : non-language object : : # On the other hand retrieval works just fine : local(get(x, parent.env(environment()))[1]) : [1] 1 : : Thanks, : Vadim : : __ : R-help at stat.math.ethz.ch mailing list : https://stat.ethz.ch/mailman/listinfo/r-help : PLEASE do read the posting guide! : http://www.R-project.org/posting-guide.html : : : __ : R-help at stat.math.ethz.ch mailing list : https://stat.ethz.ch/mailman/listinfo/r-help : PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html : : __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Re: [R] Non-linear minimization
After some experimentation, I have had very good luck with the rgenoud package. It handles box constraints well and for small problems its slow speed has not been much of a problem. It has worked for me on Windows, Macintosh, and Linux. Chris JPMorgan Asset Management |-+ | | Sébastien Ballesteros| | | sebastien_ballestero| | | [EMAIL PROTECTED] | | | Sent by: | | | [EMAIL PROTECTED]| | | ath.ethz.ch | | || | || | | 03/08/2005 08:23 AM | | || |-+ -| | | | To: r-help@stat.math.ethz.ch | | cc: | | Subject: [R] Non-linear minimization | -| hello, I have got some trouble with R functions nlm(), nls() or optim() : I would like to fit 3 parameters which must stay in a precise interval. For exemple with nlm() : fn-function(p) sum((dN-estdata(p[1],p[2],p[3]))^2) out-nlm(fn, p=c(4, 17, 5), hessian=TRUE,print.level=2) with estdata() a function which returns value to fit with dN (observed data vactor) My problem is that only optim() allows me to set parameters interval with L-BFGS-B method but this one doesn't work in my case. I have heard about nls2 package (www.inra.fr/bia) but it doesn't work on Windows. Do you know any solutions Thank's a lot for reading my post Best regards Sebastien INA P-G ecology dpt __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html This communication is for informational purposes only. It is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase Co., its subsidiaries and affiliates __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] from long/lat to UTM
Hi: Is there any function in R which can convert the long/lat to UTM(Universal Transverse Mercator)? There are quite a few converters on Internet. However, the interface is designed as input-output which I can not convert lots of locations at the same time. Another question is whether there is a function in R which can tell the time zone from the location's lat/long? Thank you! liu __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Fairouz Makhlouf (2nd request)
Fairouz Makhlouf is still waiting to hear from you to join Fairouz's mobile friends community. Simply click the link below to confirm your relationship with Fairouz. http://www.sms.ac/registration/Intro.aspx?InviteId=eb8mm1u02100uw-c06r=7 Don't want to be invited by your friends? Click on the link above to block future invitations from family and friends. SMS.ac, Inc., 7770 Regents Road, Suite 113-405, San Diego, CA 92122 USA __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
