Re: [R] SQL like function?
Hi Gabor, Wow, this is awesome although I eventually should learn MySQL for integrating it on web-based DB management using PHP or Perl, this is a very helpful tool for me to start with! Thank you very much Gabor Grothendieck wrote: Others have already pointed out %in% but regarding your comment about SQL, you can use SQL to manipulate R data frames using the sqldf package which provides an interface to lower level RSQLite (and RMySQL in the future) routines. The following examples use SQLite underneath: DF - data.frame(observation = c(1,2,3,4,5)) ID - data.frame(ID = c(1, 3, 4)) library(sqldf) sqldf(select observation, observation in (select * from ID) `ID?` from DF) # or sqldf(select observation, observation in (1, 3, 4) `ID?` from DF) See home page at: http://sqldf.googlecode.com On 9/7/07, Takatsugu Kobayashi [EMAIL PROTECTED] wrote: Hi RUsers, I am wonder if I can search observations whose IDs matches any of the values in another vector, such as in MySQL. While I am learing MySQL for future database management, I appreciate if anyone could give me a hint. Suppose I have one 5*1 vector containing observation IDs and frequencies, and one 3*1 vector containing observation IDs. observation-c(1,2,3,4,5) ID-c(1,3,4) Then, I would like to program a code that returns a results showing matched observations like result: TRUE FALSE TRUE TRUE FALSE I am reading S programming, but I cannot find a way to do this. Thank you very much. Taka __ 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 and provide commented, minimal, self-contained, reproducible code. __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] SQL like function?
Great. Regarding the web, note that there are actually quite a few R web projects as well: http://www.lmbe.seu.edu.cn/CRAN/doc/FAQ/R-FAQ.html#R-Web-Interfaces I have used rpad (www.rpad.org) which has an integrated web server right in the R package making setup a non-issue. On 9/8/07, Takatsugu Kobayashi [EMAIL PROTECTED] wrote: Hi Gabor, Wow, this is awesome although I eventually should learn MySQL for integrating it on web-based DB management using PHP or Perl, this is a very helpful tool for me to start with! Thank you very much Gabor Grothendieck wrote: Others have already pointed out %in% but regarding your comment about SQL, you can use SQL to manipulate R data frames using the sqldf package which provides an interface to lower level RSQLite (and RMySQL in the future) routines. The following examples use SQLite underneath: DF - data.frame(observation = c(1,2,3,4,5)) ID - data.frame(ID = c(1, 3, 4)) library(sqldf) sqldf(select observation, observation in (select * from ID) `ID?` from DF) # or sqldf(select observation, observation in (1, 3, 4) `ID?` from DF) See home page at: http://sqldf.googlecode.com On 9/7/07, Takatsugu Kobayashi [EMAIL PROTECTED] wrote: Hi RUsers, I am wonder if I can search observations whose IDs matches any of the values in another vector, such as in MySQL. While I am learing MySQL for future database management, I appreciate if anyone could give me a hint. Suppose I have one 5*1 vector containing observation IDs and frequencies, and one 3*1 vector containing observation IDs. observation-c(1,2,3,4,5) ID-c(1,3,4) Then, I would like to program a code that returns a results showing matched observations like result: TRUE FALSE TRUE TRUE FALSE I am reading S programming, but I cannot find a way to do this. Thank you very much. Taka __ 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 and provide commented, minimal, self-contained, reproducible code. __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Lisp-like primitives in R
François Pinard wrote: [Roland Rau] [François Pinard] I wonder what happened, for R to hide the underlying Scheme so fully, at least at the level of the surface language (despite there are hints). To further foster portability, we chose to write R in ANSI C Yes, of course. Scheme is also (often) implemented in C. I meant that R might have implemented a Scheme engine (or part of a Scheme engine, extended with appropriate data types) with a surface language (nearly the S language) which is purposely not Scheme, but could have been. If the gap is not extreme, one could dare dreaming that the Scheme engine in R be completed, and Scheme offered as an alternate extension language. If you allow me to continue dreaming awake -- they told me they will let me free as long as I do not get dangerous! :-) -- part of the interest lies in the fact there are excellent Scheme compilers. If we could only find or devise some kind of marriage between a mature Scheme and R, so to speed up the non-vectorisable parts of R scripts... Well, depending on what you want, this is either trivial or impossible... The internal storage of R is still pretty much equivalent to scheme. E.g. try this: r2scheme - function(e) if (!is.recursive(e)) deparse(e) else c((, unlist(lapply(as.list(e), r2scheme)), )) paste(r2scheme(quote(for(i in 1:4)print(i))), collapse= ) [1] ( for i ( : 1 4 ) ( print i ) ) and a parser that parses a similar language to R internal format is not a very hard exercise (some care needed in places). However, replacing the front-end is not going to make anything faster, and the evaluation engine in R does a couple of tricks which are not done in Scheme, notably lazy evaluation, and other forms of non-local evaluation, which drives optimizers crazy. Look up the writings of Luke Tierney on the matter to learn more. If we are lucky and one of the original authors reads this thread they might explain the situation further and better [...]. In r-devel, maybe! We would be lucky if the authors really had time to read r-help. :-) -- O__ Peter Dalgaard Øster Farimagsgade 5, Entr.B c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 __ 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 and provide commented, minimal, self-contained, reproducible code.
[R] Using clustering functions
Hi. I need to use a few different clustering functions. I managed to run the kmeans() one which is in my stats library, but I can't use any function, such as agnes(), that is in my cluster library. Any idea how to access other libraries? Thanks! -- View this message in context: http://www.nabble.com/Using-clustering-functions-tf4401159.html#a12554686 Sent from the R help mailing list archive at Nabble.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 and provide commented, minimal, self-contained, reproducible code.
[R] Covariates and clustering of extremes
I am looking at some extremes, and I want to implement covariates in my analysis. My work is on daily datasets, and I use the cluster of exceedences approach in fpot (evd-package) to estimate the parameters in the General Pareto Distribution. How to include covariates like e.g. time is my question then. In advance, thanks for all help! -- View this message in context: http://www.nabble.com/Covariates-and-clustering-of-extremes-tf4396856.html#a12538022 Sent from the R help mailing list archive at Nabble.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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Plotting lines to sets of points
# Create a matrix of ball locations # You'd do this using the calls within your points function balls - matrix(c(0,50,25,-150,-100,-50), ncol=2, byrow=F) # Draw a line from the origin to each ball location apply(balls, 1, function(x) lines(c(125, x[1]), c(-210, x[2]), col='red')) A more complete example might loop over all the unique elements of framename$hit_traj, and then run this procedure for each value with a different colour, plotting both ball points and trajectories. lawnboy34 wrote: I am using R to plot baseball spray charts from play-by-play data. I have used the following command to plot the diamond: plot (0:250, -250:0, type=n, bg=white) lines(c(125,150,125,100,125),c(-210,-180,-150,-180,-210), col=c(black)) I have also plotted different hit locations using commands such as the following: points(subset(framename$hit_x, framename$hit_traj==line_drive), subset(-framename$hit_y, framename$hit_traj==line_drive), pch=20, col=c(red)) My question: Is there any easy way to plot a line from the origin (home plate) to each point on the graph? Preferably the line would share the same color as the dot that denotes where the ball landed. I have tried searching Google and these forums, and most graphing questions have to do with scatterplots or other varieties of graphs I am not using. Thanks very much in advance. -Jason -- View this message in context: http://www.nabble.com/Plotting-lines-to-sets-of-points-tf4404235.html#a12564959 Sent from the R help mailing list archive at Nabble.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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] enable object name to be called as object (a dataset)
a - 1:3
b - 11:13
c - 21:23
names - c('a','b','c')
do.call(data.frame, list(sapply(names, function(x) get(x
runner wrote:
What I am trying to do is as follows:
- I have listed names of all wanted objects (datasets A,B,C... ) in
current workspace as a vector:
obj - c('A','B','C')
- then i need to use these objects, say to extract all the 1st columns and
bind to an existing dataset ('data'):
for ( i in 1:3){
newdata - obj[i]
data - cbind(data,newdata [[1]] )
}
Obviously, it doesn't work since obj[i] is just a string of dataset name.
Here is my question: how to call it as a original dataset? Thanks.
--
View this message in context:
http://www.nabble.com/enable-object-name-to-be-called-as-object-%28a-dataset%29-tf4403933.html#a12564175
Sent from the R help mailing list archive at Nabble.com.
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Re: [R] FW: variable format
Frank E Harrell Jr wrote:
Martin Becker wrote:
Dear Cory,
I am not familiar with SAS, but is this what you are looking for?
divisionTable - matrix(c(1, New England,
2, Middle Atlantic,
3, East North Central,
4, West North Central,
5, South Atlantic,
6, East South Central,
7, West South Central,
8, Mountain,
9, Pacific),
ncol=2, byrow=T)
How about just divisionTable - c('New England', 'Middle Atlantic',
...) then factor(old, 1:9, divisionTable) ?
Frank
Of course, this solution is more elegant, but my intention was
1. to provide a solution which makes use of the exisiting object
divisionTable
2. to reproduce the output from the working example (-conversion to
character)
Maybe I should have emphasized that I was quoting the existing
definition of divisionTable from the original email (for the sake of
providing self-contained code) and not introducing a unnecessarily
complicated new definition of divisionTable.
Regards,
Martin
a - NULL
a$divisionOld - c(0,1,2,3,4,5)
a$divisionNew -
as.character(factor(a$divisionOld,levels=divisionTable[,1],labels=divisionTable[,2]))
a$divisionNew
[1] NA New EnglandMiddle Atlantic [4]
East North Central West North Central South Atlantic
Kind regards,
Martin
Cory Nissen schrieb:
Anybody?
From: Cory Nissen
Sent: Tue 9/4/2007 9:30 AM
To: r-help@stat.math.ethz.ch
Subject: variable format
Okay, I want to do something similar to SAS proc format.
I usually do this...
a - NULL
a$divisionOld - c(1,2,3,4,5)
divisionTable - matrix(c(1, New England,
2, Middle Atlantic,
3, East North Central,
4, West North Central,
5, South Atlantic),
ncol=2, byrow=T)
a$divisionNew[match(a$divisionOld, divisionTable[,1])] -
divisionTable[,2]
But how do I handle the case where...
a$divisionOld - c(0,1,2,3,4,5) #no format available for 0, this
throws an error.
OR
divisionTable - matrix(c(1, New England,
2, Middle Atlantic,
3, East North Central,
4, West North Central,
5, South Atlantic,
6, East South Central,
7, West South Central,
8, Mountain,
9, Pacific),
ncol=2, byrow=T) There are extra formats
available... this throws a warning.
Thanks
Cory
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Re: [R] Matlab's lsqnonlin
KateM == Katharine Mullen [EMAIL PROTECTED] on Fri, 7 Sep 2007 20:07:41 +0200 (CEST) writes: KateM The thread you linked to regarding Levenberg-Marquardt's supposed lack of KateM availability is from 2001; it has been possible to get KateM to the MINPACK implementation of Levenberg-Marquardt within R via the KateM package minpack.lm KateM (http://cran.r-project.org/src/contrib/Descriptions/minpack.lm.html) since KateM 2005. Thanks a lot, Kate. I'm wondering about experiences: Do you know of cases where minpack.lm's nls.lm() solved a (real) problem that nls() would have a problem with ? Beware however -- one of the main things I learned about this field from Doug Bates, co-author of Bates_and_Watts and prinicipal author of S's and R's nls() : It's a *feature* that nls() does not converge sometimes when other methods do falsely claim convergence! Martin Maechler, ETH Zurich KateM KateM Katharine Mullen KateM mail: Department of Physics and Astronomy, Faculty of Sciences KateM Vrije Universiteit Amsterdam, de Boelelaan 1081 KateM 1081 HV Amsterdam, The Netherlands KateM room: T.1.06 KateM tel: +31 205987870 KateM fax: +31 205987992 KateM e-mail: [EMAIL PROTECTED] KateM homepage: http://www.nat.vu.nl/~kate/ KateM On Fri, 7 Sep 2007, Jose Luis Aznarte M. wrote: Hi! I'm translating some code from Matlab to R and I found a problem. I need to translate Matlab's function 'lsqnonlin' (http://www-ccs.ucsd.edu/matlab/toolbox/optim/lsqnonlin.html) into R, and at the beginning I thought it would be the same as R's 'optim'. But then I looked at the definition of 'lsqnonlin' and I don't quite see how to make 'optim' to do the same thing. Does anyone have an idea? This is apart from the fact that I would like to use the Levenberg Marquardt algorithm which is not implemented in R (some discussion about this: http://tolstoy.newcastle.edu.au/R/help/00b/2492.html). Thank you! All the best, -- -- Jose Luis Aznarte M. http://decsai.ugr.es/~jlaznarte Department of Computer Science and Artificial Intelligence Universidad de Granada Tel. +34 - 958 - 24 04 67 GRANADA (Spain) Fax: +34 - 958 - 24 00 79 __ 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 and provide commented, minimal, self-contained, reproducible code. KateM __ KateM R-help@stat.math.ethz.ch mailing list KateM https://stat.ethz.ch/mailman/listinfo/r-help KateM PLEASE do read the posting guide http://www.R-project.org/posting-guide.html KateM and provide commented, minimal, self-contained, reproducible code. __ 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 and provide commented, minimal, self-contained, reproducible code.
[R] argument 'lib' is missing: using '/usr/lib/R/library'
Dear All, When installing packages, I get the following warning: install.packages(sqldf) Warning in install.packages(sqldf) : argument 'lib' is missing: using '/usr/lib/R/library' Any ideas? The details of my R installation are: version _ platform i386-redhat-linux-gnu arch i386 os linux-gnu system i386, linux-gnu status major 2 minor 5.1 year 2007 month 06 day27 svn rev42083 language R version.string R version 2.5.1 (2007-06-27) R is here installed on Fedora 7. Thanks in advance, Paul __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] argument 'lib' is missing: using '/usr/lib/R/library'
Paul, what is the question? If the question is why you get this warning message, the reason is that the 'lib' argument is missing and install.packages is using '/usr/lib/R/library'. If you want to get rid of the warning supply the 'lib' argument. Gabor On Sat, Sep 08, 2007 at 11:26:44AM +0100, Paul Smith wrote: Dear All, When installing packages, I get the following warning: install.packages(sqldf) Warning in install.packages(sqldf) : argument 'lib' is missing: using '/usr/lib/R/library' Any ideas? The details of my R installation are: version _ platform i386-redhat-linux-gnu arch i386 os linux-gnu system i386, linux-gnu status major 2 minor 5.1 year 2007 month 06 day27 svn rev42083 language R version.string R version 2.5.1 (2007-06-27) R is here installed on Fedora 7. Thanks in advance, Paul __ 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 and provide commented, minimal, self-contained, reproducible code. -- Csardi Gabor [EMAIL PROTECTED]MTA RMKI, ELTE TTK __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] R survey package again
On 7/9/07 11:42 PM, eugen pircalabelu wrote: I have a sample from a survey where household were interviewed. The sample has 4 criteria on which the stratification was based: REGION, SIZE OF HOUSEHOLD, SIZE OF LOCALITY, AGE OF HEAD OF HOUSEHOLD. Since i don't have the whole information in each cell of the cross region*sizehh*sizeloc*age i can't use the postStratify function from Survey package. Is that correct? (I think so but i need a competent answer) The only additional info that i have is the size of a cell from a 2*2 crossing (eg: I know the population size for all the strata defined by region*sizehh, region*sizeloc, sizeloc*age) so i have the behaviour of the population but in a 2 by 2 cross for each of these criteria. You're right, poststratification can't work from two-way marginal distributions, but raking or calibration can. However it seems odd that you only have this much information, since the full joint distribution would have been needed for stratification. Usually these details would be documented as part of the sample design. Can you get this information from those responsible for the sample design? It would also be good to check your understanding of the design. A sampling frame listing details of household size and age of household head would have been needed to do the four-way stratification you mention, but in my experience such frames aren't very common. James -- James Reilly Department of Statistics, University of Auckland Private Bag 92019, Auckland, New Zealand __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Matlab's lsqnonlin
I'm wondering about experiences: Do you know of cases where minpack.lm's nls.lm() solved a (real) problem that nls() would have a problem with ? In short, no. However, I looked at this question in the limited context of fitting the parameters of a linear superposition of 2 exponentials with Gaussian noise. A simulation study showed nearly identical performance for the range of parameter values/noise levels that are of practical interest to us. Are there problems for which steepest descent gets you in the neighborhood of a solution whereas GN does not? If such problems exist then there would be reason to apply LM instead of GN, but I don't know of any. Beware however -- one of the main things I learned about this field from Doug Bates, co-author of Bates_and_Watts and prinicipal author of S's and R's nls() : It's a *feature* that nls() does not converge sometimes when other methods do falsely claim convergence! Martin Maechler, ETH Zurich KateM KateM Katharine Mullen KateM mail: Department of Physics and Astronomy, Faculty of Sciences KateM Vrije Universiteit Amsterdam, de Boelelaan 1081 KateM 1081 HV Amsterdam, The Netherlands KateM room: T.1.06 KateM tel: +31 205987870 KateM fax: +31 205987992 KateM e-mail: [EMAIL PROTECTED] KateM homepage: http://www.nat.vu.nl/~kate/ KateM On Fri, 7 Sep 2007, Jose Luis Aznarte M. wrote: Hi! I'm translating some code from Matlab to R and I found a problem. I need to translate Matlab's function 'lsqnonlin' (http://www-ccs.ucsd.edu/matlab/toolbox/optim/lsqnonlin.html) into R, and at the beginning I thought it would be the same as R's 'optim'. But then I looked at the definition of 'lsqnonlin' and I don't quite see how to make 'optim' to do the same thing. Does anyone have an idea? This is apart from the fact that I would like to use the Levenberg Marquardt algorithm which is not implemented in R (some discussion about this: http://tolstoy.newcastle.edu.au/R/help/00b/2492.html). Thank you! All the best, -- -- Jose Luis Aznarte M. http://decsai.ugr.es/~jlaznarte Department of Computer Science and Artificial Intelligence Universidad de Granada Tel. +34 - 958 - 24 04 67 GRANADA (Spain) Fax: +34 - 958 - 24 00 79 __ 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 and provide commented, minimal, self-contained, reproducible code. KateM __ KateM R-help@stat.math.ethz.ch mailing list KateM https://stat.ethz.ch/mailman/listinfo/r-help KateM PLEASE do read the posting guide http://www.R-project.org/posting-guide.html KateM and provide commented, minimal, self-contained, reproducible code. __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Help with color coded bar graph
Luis Naver wrote: I have a list of observations that are -1, 1 or 0. I would like to represent them in a horizontal bar color coded based on value like a stacked bar graph. I can achieve this in the form of a png with the following code: A = floor(runif(10)*3) - 1 png(width=100, height=10) par(mar=c(0,0,0,0)) image(matrix(A), col=grey(c(0.1, 0.5, 0.9))) dev.off() However I would like to do this with one of the standard plotting tools (i.e. barplot) to take advantage of labels and multiple series. Any help would be appreciated. Hi Luis, I understood your request as wanting a single horizontal bar with 10 segments, each colored according to the value of A. If this is correct, you might want: library(plotrix) plot(1,xlim=c(-1,1),ylim=c(-1,1),xlab=,ylab=,type=n,axes=FALSE) gradient.rect(-1,-0.1,1,0.1,col=grey(c(0.1,0.5,0.9))[A+2]) Jim __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] argument 'lib' is missing: using '/usr/lib/R/library'
On 9/8/07, Gabor Csardi [EMAIL PROTECTED] wrote: Paul, what is the question? If the question is why you get this warning message, the reason is that the 'lib' argument is missing and install.packages is using '/usr/lib/R/library'. If you want to get rid of the warning supply the 'lib' argument. Thanks, Gabor. Yes, I want to get rid of the warning message. Since the warning did not appear before, even without supplying the 'lib' argument, I thought that something was wrong here. Paul On Sat, Sep 08, 2007 at 11:26:44AM +0100, Paul Smith wrote: Dear All, When installing packages, I get the following warning: install.packages(sqldf) Warning in install.packages(sqldf) : argument 'lib' is missing: using '/usr/lib/R/library' Any ideas? The details of my R installation are: version _ platform i386-redhat-linux-gnu arch i386 os linux-gnu system i386, linux-gnu status major 2 minor 5.1 year 2007 month 06 day27 svn rev42083 language R version.string R version 2.5.1 (2007-06-27) R is here installed on Fedora 7. Thanks in advance, Paul __ 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 and provide commented, minimal, self-contained, reproducible code. -- Csardi Gabor [EMAIL PROTECTED]MTA RMKI, ELTE TTK __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] genoud problem
Hi Shubha, genoud does not return the initial fit value. But you could easily obtain it by passing your starting values to your function directly. Alternatively, one can have genoud print out the entire initial population (or the entire population as is evolves), and one can then decide to report whatever summary of this one would like. Note that the best fit in generation zero is printed by default. See the project.path and print.level options for details. Cheers, Jas. === Jasjeet S. Sekhon Associate Professor Travers Department of Political Science Survey Research Center UC Berkeley http://sekhon.berkeley.edu/ V: 510-642-9974 F: 617-507-5524 === Shubha Vishwanath Karanth writes: Hi R users, genoud function of rgenoud package will optimize my function. If opt = genoud(fn,2,max=TRUE,starting.value=c(1,10),) opt$value will give the optimized value of the function, fn. My problem is from the same opt, can I get the value of the function at the initial parameter values? I need the initial value of the function for reporting purposes. BR, Shubha [[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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Running a PERL script from R
Dear Ken. You could also try and use RSPerl (http://www.omegahat.org/RSPerl/). It allows one to use R commands in Perl and vice-versa. regards, Paul Pierce, Ken schreef: Is there a way to run a simple perl script from R? Kenneth B. Pierce Jr. Research Ecologist Landscape Ecology, Modeling, Mapping and Analysis Team PNW Research Station - USDA-FS 3200 SW Jefferson Way, Corvallis, OR 97331 [EMAIL PROTECTED] 541 750-7393 http://www.fsl.orst.edu/lemma/gnnfire http://www.fsl.orst.edu/R_users/index.php [[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 and provide commented, minimal, self-contained, reproducible code. -- Drs. Paul Hiemstra Department of Physical Geography Faculty of Geosciences University of Utrecht Heidelberglaan 2 P.O. Box 80.115 3508 TC Utrecht Phone: +31302535773 Fax:+31302531145 http://intamap.geo.uu.nl/~paul __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Lisp-like primitives in R
On 9/8/07, Peter Dalgaard [EMAIL PROTECTED] wrote: François Pinard wrote: [Roland Rau] [François Pinard] I wonder what happened, for R to hide the underlying Scheme so fully, at least at the level of the surface language (despite there are hints). To further foster portability, we chose to write R in ANSI C Yes, of course. Scheme is also (often) implemented in C. I meant that R might have implemented a Scheme engine (or part of a Scheme engine, extended with appropriate data types) with a surface language (nearly the S language) which is purposely not Scheme, but could have been. If the gap is not extreme, one could dare dreaming that the Scheme engine in R be completed, and Scheme offered as an alternate extension language. If you allow me to continue dreaming awake -- they told me they will let me free as long as I do not get dangerous! :-) -- part of the interest lies in the fact there are excellent Scheme compilers. If we could only find or devise some kind of marriage between a mature Scheme and R, so to speed up the non-vectorisable parts of R scripts... Well, depending on what you want, this is either trivial or impossible... The internal storage of R is still pretty much equivalent to scheme. E.g. try this: r2scheme - function(e) if (!is.recursive(e)) deparse(e) else c((, unlist(lapply(as.list(e), r2scheme)), )) paste(r2scheme(quote(for(i in 1:4)print(i))), collapse= ) [1] ( for i ( : 1 4 ) ( print i ) ) Also see showTree in codetools: library(codetools) showTree(quote(for(i in 1:4)print(i))) (for i (: 1 4) (print i)) __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Running a PERL script from R
On 7 September 2007 at 14:04, Pierce, Ken wrote: | I've tried various configurations of .script, system and shell to no | avail. It seems to pause and run something but then no output is | created. Make sure you read the help page for system, and understand the options. Esp on Windows, you will need them to display/capture what is happening. Dirk | -Original Message- | From: Dirk Eddelbuettel [mailto:[EMAIL PROTECTED] | Sent: Friday, September 07, 2007 1:11 PM | To: Pierce, Ken | Cc: r-help | Subject: Re: [R] Running a PERL script from R | | On Fri, Sep 07, 2007 at 12:15:51PM -0700, Pierce, Ken wrote: | Is there a way to run a simple perl script from R? | | ?system | | Hth, Dirk | | -- | Three out of two people have difficulties with fractions. -- Three out of two people have difficulties with fractions. __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] confusion matrix - better code?
Michael,
Thank you very much. My code is certainly put to shame by yours. I promise to
read about factor to see how you use it and why ;-))
I really appreciate your help.
Monica
Subject: RE: [R] confusion matrix - better code? Date: Fri, 7 Sep 2007
15:36:00 -0500 From: [EMAIL PROTECTED] To: [EMAIL PROTECTED] How about
this?
tab-table(factor(tr,levels=unique(tr)),factor(pr,levels=unique(tr)))
tab-rbind(tab,colSums(tab)) tab-cbind(tab,rowSums(tab)) tab 1 2 3 4
1 2 1 0 0 3 2 2 1 0 0 3 3 0 0 3 0 3 4 0 1 0 0 1 4 3 3 0 10 Of
course you can add some dimnames for the 5th row and 5th column if you
want. dimnames(tab)[[1]][5]-Total dimnames(tab)[[2]][5]-Total
tab 1 2 3 4 Total 1 2 1 0 0 3 2 2 1 0 0 3 3 0 0 3 0 3 4 0 1 0 0 1 Total
4 3 3 0 10 Michael Conklin Chief Methodologist - Advanced Analytics
MarketTools, Inc. 6465 Wayzata Blvd. Suite 170 Minneapolis, MN
55426 Tel: 952.417.4719 | Mobile:612.201.8978 [EMAIL PROTECTED]
MarketTools(r) http://www.markettools.comThis e-mail and any
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If you are not the intended recipient, be aware that any review, copying, or
distribution of this e-mail or any attachment is strictly prohibited. If you
have received this e-mail in error, please return it to the sender
immediately, and permanently delete the original and any copies from your
system. Thank you for your cooperation.-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Monica
Pisica Sent: Friday, September 07, 2007 2:53 PM To:
r-help@stat.math.ethz.ch Subject: [R] confusion matrix - better code?
Importance: High Hi, I've written some code to obtain a confusion
matrix when the true classification and the predicted classification are
known. Suppose true classification is called tr and predicted
classification is pr. I have 4 classes in tr, but only 3 classes out of 4
are predicted in pr. Following is my code, but looks quite clunky to me.
I wonder if you have any suggestions to improve it. Thanks, Monica
- tr - c(1,2,2,3,3,3,2,4,1,1)
pr-c(1,2,1,3,3,3,1,2,1,2) dat - data.frame(tr, pr) class -
c(1:length(tr)) m - max(c(length(unique(tr)), length(unique(pr for(i
in 1:length(class)) { class[i] - sub(' ','',paste(dat[i,1],dat[i,2])) }
dat - data.frame(dat, class) mat - matrix(0, nrow=m, ncol=m) for (i in
1:m){ for (j in 1:m){ mat[i,j] - sub(' ','',paste(i,j)) }} cat -
matrix(0, nrow=(m+1), ncol=(m+1)) for (i in 1:m){ for(j in 1:m){
cat[i,j]- nrow(dat[dat$class==mat[i,j],]) }} for (i in 1:m){
cat[(m+1),i]-sum(cat[1:m,i]) cat[i,(m+1)]- sum(cat[i,1:m])
cat[(m+1),(m+1)] - sum(cat[1:m,(m+1)]) } cat [,1] [,2] [,3] [,4] [,5]
[1,] 2 1 0 0 3 [2,] 2 1 0 0 3 [3,] 0 0 3 0 3 [4,] 0 1 0 0 1 [5,] 4 3 3 0
10 The 5th row / col represents the sum on each row / col respectively.
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Re: [R] Lisp-like primitives in R
[Peter Dalgaard] [François Pinard] I meant that R might have implemented a Scheme engine [...] with a surface language [...] which is purposely not Scheme, but could have been. [...] one could dare dreaming that the Scheme engine in R be completed, and Scheme offered as an alternate extension language. [...] there are excellent Scheme compilers. [...] Well, depending on what you want, this is either trivial or impossible... I'm more leaning on the impossible side :-). The internal storage of R is still pretty much equivalent to scheme. R needs a few supplementary data types, and it motivated the R authors into re-implementing their own Scheme engine instead of relying on an existing implementation of a Scheme system. r2scheme - function(e) [...] Nice exercise! :-) a parser that parses a similar language to R internal format is not a very hard exercise (some care needed in places). However, replacing the front-end is not going to make anything faster, Of course. The idea is nothing more than to please people starving to use Scheme instead of S as a surface language, here and there in scripts. I merely thought that if the gap is small enough (so to not require an extraordinary effort), it would be worth the leap. One immediate difficulty to foresee is the name clashes between R and RnRS. There might also be missing things in R (like continuations, say). To make anything faster, and this is a totally different idea, one might consider replacing the back-end, not the front-end. Writing good optimizing Scheme compilers is quite an undertaking, and if one only considers type inference (as a subproblem), this still is an active research area. The Scheme engine in R was written as to quickly get a working S (non-obstant lexical scoping and some library issues). My ramble was about switching this quick base of R to some solid Scheme implementation, than to re-address separately compiling issues for R. and the evaluation engine in R does a couple of tricks which are not done in Scheme, notably lazy evaluation, Promises? Aren't they already part of Scheme? The main difference I saw is their systematic use in R argument passing. All aspects of mere argument passing would require a lot of thought. As you wrote, variable scope is another difficulty. Offering a compatible C API, and library interface in general, might be a frightening but necessary challenge. It's all more of a dream than a thought, actually... :-) Look up the writings of Luke Tierney on the matter to learn more. Thanks for this interesting reference. -- François Pinard http://pinard.progiciels-bpi.ca __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] R first.id last.id function error
Hi Jim,
Thanks for going to the trouble of writing the function. I'll copy and try it.
Gerard
At 06:30 PM 9/7/2007, jim holtman wrote:
This function should do it for you:
file1 - read.table(textConnection( id rx week dv1
+ 1 1 11 1
+ 2 1 12 1
+ 3 1 13 2
+ 4 2 11 3
+ 5 2 12 4
+ 6 2 13 1
+ 7 3 11 2
+ 8 3 12 3
+ 9 3 13 4
+ 10 4 11 2
+ 11 4 12 6
+ 12 4 13 5
+ 13 5 21 7
+ 14 5 22 8
+ 15 5 23 5
+ 16 6 21 2
+ 17 6 22 4
+ 18 6 23 6
+ 19 7 21 7
+ 20 7 22 8
+ 21 8 21 9
+ 22 9 21 4
+ 23 9 22 5), header=TRUE)
mark.function -
+ function(df){
+ df - df[order(df$id, df$week),]
+ # create 'diff' of 'id' to determine where the breaks are
+ breaks - diff(df$id)
+ # the first entry will be TRUE, and then every occurance of
non-zero in breaks
+ df$first.id - c(TRUE, breaks != 0)
+ # the last entry is TRUE and every non-zero breaks
+ df$last.id - c(breaks != 0, TRUE)
+ df
+ }
mark.function(file1)
id rx week dv1 first.id last.id
1 1 11 1 TRUE FALSE
2 1 12 1FALSE FALSE
3 1 13 2FALSETRUE
4 2 11 3 TRUE FALSE
5 2 12 4FALSE FALSE
6 2 13 1FALSETRUE
7 3 11 2 TRUE FALSE
8 3 12 3FALSE FALSE
9 3 13 4FALSETRUE
10 4 11 2 TRUE FALSE
11 4 12 6FALSE FALSE
12 4 13 5FALSETRUE
13 5 21 7 TRUE FALSE
14 5 22 8FALSE FALSE
15 5 23 5FALSETRUE
16 6 21 2 TRUE FALSE
17 6 22 4FALSE FALSE
18 6 23 6FALSETRUE
19 7 21 7 TRUE FALSE
20 7 22 8FALSETRUE
21 8 21 9 TRUETRUE
22 9 21 4 TRUE FALSE
23 9 22 5FALSETRUE
On 9/7/07, Gerard Smits [EMAIL PROTECTED] wrote:
Hi R users,
I have a test dataframe (file1, shown below) for which I am trying
to create a flag for the first and last ID record (equivalent to SAS
first.id and last.id variables.
Dump of file1:
file1
id rx week dv1
1 1 11 1
2 1 12 1
3 1 13 2
4 2 11 3
5 2 12 4
6 2 13 1
7 3 11 2
8 3 12 3
9 3 13 4
10 4 11 2
11 4 12 6
12 4 13 5
13 5 21 7
14 5 22 8
15 5 23 5
16 6 21 2
17 6 22 4
18 6 23 6
19 7 21 7
20 7 22 8
21 8 21 9
22 9 21 4
23 9 22 5
I have written code that correctly assigns the first.id and
last.id variabes:
require(Hmisc) #for Lags
#ascending order to define first dot
file1- file1[order(file1$id, file1$week),]
file1$first.id - (Lag(file1$id) != file1$id)
file1$first.id[1]-TRUE #force NA to TRUE
#descending order to define last dot
file1- file1[order(-file1$id,-file1$week),]
file1$last.id - (Lag(file1$id) != file1$id)
file1$last.id[1]-TRUE #force NA to TRUE
#resort to original order
file1- file1[order(file1$id,file1$week),]
I am now trying to get the above code to work as a function, and am
clearly doing something wrong:
first.last - function (df, idvar, sortvars1, sortvars2)
+ {
+ #sort in ascending order to define first dot
+ df- df[order(sortvars1),]
+ df$first.idvar - (Lag(df$idvar) != df$idvar)
+ #force first record NA to TRUE
+ df$first.idvar[1]-TRUE
+
+ #sort in descending order to define last dot
+ df- df[order(-sortvars2),]
+ df$last.idvar - (Lag(df$idvar) != df$idvar)
+ #force last record NA to TRUE
+ df$last.idvar[1]-TRUE
+
+ #resort to original order
+ df- df[order(sortvars1),]
+ }
Function call:
first.last(df=file1, idvar=file1$id,
sortvars1=c(file1$id,file1$week), sortvars2=c(-file1$id,-file1$week))
R Error:
Error in as.vector(x, mode) : invalid argument 'mode'
I am not sure about the passing of the sort strings. Perhaps this is
were things are off. Any help greatly appreciated.
Thanks,
Gerard
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--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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[R] Suppress 'x' when appending to a csv file
Is there any convenient way to supress the x that appears in csv export files? I would like to be able to export a file and add a comment to it yet still be able to read it back into R. I don't see any way to get rid of the x that seperates the different appended parts. Thanks EXAMPLE x 1 2 3 4 5 x #Results from file SSS.r R.2.5.1 Windows XP __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Suppress 'x' when appending to a csv file
On Sat, 2007-09-08 at 11:41 -0400, John Kane wrote: Is there any convenient way to supress the x that appears in csv export files? I would like to be able to export a file and add a comment to it yet still be able to read it back into R. I don't see any way to get rid of the x that seperates the different appended parts. Thanks EXAMPLE x 1 2 3 4 5 x #Results from file SSS.r R.2.5.1 Windows XP John, Try this: write.table(head(iris), sep = ,, row.names = FALSE, col.names = FALSE) 5.1,3.5,1.4,0.2,setosa 4.9,3,1.4,0.2,setosa 4.7,3.2,1.3,0.2,setosa 4.6,3.1,1.5,0.2,setosa 5,3.6,1.4,0.2,setosa 5.4,3.9,1.7,0.4,setosa You may need to explicitly adjust other arguments that are otherwise set to defaults when using write.csv(). HTH, Marc Schwartz __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Using clustering functions
uv wrote: Hi. I need to use a few different clustering functions. I managed to run the kmeans() one which is in my stats library, but I can't use any function, such as agnes(), that is in my cluster library. Any idea how to access other libraries? Thanks! Both stats and cluster are packages, not libraries. You need to call library(cluster) in order to load package cluster from your library before using agnes() and her friends. Uwe Ligges __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Problem in installing packages on linux machine...
Hi, I am trying to install RSQLite package on my Fedora workstation. I tried to install other packages as well, but each time I got the same error messages saying compilation error and non zero exit status. Do I have to specify lib=? I never specified the library path before when I was using Fedora Core 6. Warning in install.packages(RSQLite) : argument 'lib' is missing: using '/usr/lib/R/library' --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL 'http://cran.cnr.Berkeley.edu/src/contrib/RSQLite_0.5-6.tar.gz' Content type 'application/x-gzip' length 710241 bytes opened URL == downloaded 693Kb gcc -std=gnu99 -shared -L/usr/local/lib -o RSQLite.so RS-DBI.o RS-SQLite.o sqlite-all.o -L/usr/lib/R/lib -lR /usr/bin/ld: skipping incompatible /usr/lib/R/lib/libR.so when searching for -lR /usr/bin/ld: cannot find -lR collect2: ld returned 1 exit status make: *** [RSQLite.so] Error 1 chmod: cannot access `/usr/lib/R/library/RSQLite/libs/*': No such file or directory ERROR: compilation failed for package 'RSQLite' ** Removing '/usr/lib/R/library/RSQLite' The downloaded packages are in /tmp/RtmpHQ5Y7C/downloaded_packages Warning message: installation of package 'RSQLite' had non-zero exit status in: install.packages(RSQLite) I appreciate your help. Thank you very much Taka __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Problem in installing packages on linux machine...
Hi, try install packages whit 'sudo'. $sudo R -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40 S 49° 16' 22 O On 08/09/2007, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote: Hi, I am trying to install RSQLite package on my Fedora workstation. I tried to install other packages as well, but each time I got the same error messages saying compilation error and non zero exit status. Do I have to specify lib=? I never specified the library path before when I was using Fedora Core 6. Warning in install.packages(RSQLite) : argument 'lib' is missing: using '/usr/lib/R/library' --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL 'http://cran.cnr.Berkeley.edu/src/contrib/RSQLite_0.5-6.tar.gz' Content type 'application/x-gzip' length 710241 bytes opened URL == downloaded 693Kb gcc -std=gnu99 -shared -L/usr/local/lib -o RSQLite.so RS-DBI.o RS-SQLite.o sqlite-all.o -L/usr/lib/R/lib -lR /usr/bin/ld: skipping incompatible /usr/lib/R/lib/libR.so when searching for -lR /usr/bin/ld: cannot find -lR collect2: ld returned 1 exit status make: *** [RSQLite.so] Error 1 chmod: cannot access `/usr/lib/R/library/RSQLite/libs/*': No such file or directory ERROR: compilation failed for package 'RSQLite' ** Removing '/usr/lib/R/library/RSQLite' The downloaded packages are in /tmp/RtmpHQ5Y7C/downloaded_packages Warning message: installation of package 'RSQLite' had non-zero exit status in: install.packages(RSQLite) I appreciate your help. Thank you very much Taka __ 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 and provide commented, minimal, self-contained, reproducible code. [[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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Problem in installing packages on linux machine...
Hi, Still got the same error message. I did su R when I got the error message for the first time. I have never seen this error message. I will be googling for solutions as well... Thank you. Quoting Henrique Dallazuanna [EMAIL PROTECTED]: Hi, try install packages whit 'sudo'. $sudo R -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40 S 49° 16' 22 O On 08/09/2007, [EMAIL PROTECTED] [EMAIL PROTECTED] wrote: Hi, I am trying to install RSQLite package on my Fedora workstation. I tried to install other packages as well, but each time I got the same error messages saying compilation error and non zero exit status. Do I have to specify lib=? I never specified the library path before when I was using Fedora Core 6. Warning in install.packages(RSQLite) : argument 'lib' is missing: using '/usr/lib/R/library' --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL 'http://cran.cnr.Berkeley.edu/src/contrib/RSQLite_0.5-6.tar.gz' Content type 'application/x-gzip' length 710241 bytes opened URL == downloaded 693Kb gcc -std=gnu99 -shared -L/usr/local/lib -o RSQLite.so RS-DBI.o RS-SQLite.o sqlite-all.o -L/usr/lib/R/lib -lR /usr/bin/ld: skipping incompatible /usr/lib/R/lib/libR.so when searching for -lR /usr/bin/ld: cannot find -lR collect2: ld returned 1 exit status make: *** [RSQLite.so] Error 1 chmod: cannot access `/usr/lib/R/library/RSQLite/libs/*': No such file or directory ERROR: compilation failed for package 'RSQLite' ** Removing '/usr/lib/R/library/RSQLite' The downloaded packages are in /tmp/RtmpHQ5Y7C/downloaded_packages Warning message: installation of package 'RSQLite' had non-zero exit status in: install.packages(RSQLite) I appreciate your help. Thank you very much Taka __ 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 and provide commented, minimal, self-contained, reproducible code. Takatsugu Kobayashi PhD Student Indiana University, Dept. Geography __ 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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] Suppress 'x' when appending to a csv file
Thanks Marc. It works. I had not thought of using col.names = FALSE as I wanted to keep the colnames. I see that I will just have to do another write.table command to do this. Humm, actually it took a a bit of juggling to do the names but it's looking fine now. --- Marc Schwartz [EMAIL PROTECTED] wrote: On Sat, 2007-09-08 at 11:41 -0400, John Kane wrote: Is there any convenient way to supress the x that appears in csv export files? I would like to be able to export a file and add a comment to it yet still be able to read it back into R. I don't see any way to get rid of the x that seperates the different appended parts. Thanks EXAMPLE x 1 2 3 4 5 x #Results from file SSS.r R.2.5.1 Windows XP John, Try this: write.table(head(iris), sep = ,, row.names = FALSE, col.names = FALSE) 5.1,3.5,1.4,0.2,setosa 4.9,3,1.4,0.2,setosa 4.7,3.2,1.3,0.2,setosa 4.6,3.1,1.5,0.2,setosa 5,3.6,1.4,0.2,setosa 5.4,3.9,1.7,0.4,setosa You may need to explicitly adjust other arguments that are otherwise set to defaults when using write.csv(). HTH, Marc Schwartz __ 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 and provide commented, minimal, self-contained, reproducible code.
[R] statistical tests under serial dependence
Hello! I would like to know if there are already programmed statistical tests for data under serial dependence, for example, considering the variance inflation factor? Thank you very much Best regards Rosa __ 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 and provide commented, minimal, self-contained, reproducible code.
[R] predict.arima
Hi *, Firstly, thank you so much for your time to read my email. I am currently interested in how to use R to predict time series from models fitted by ARIMA. The package I used is basic stats package, and the method I used is predict.Arima. What I know is that ARIMA parameters are estimated by Kalman Filter, but I have difficulty in understanding how exactly maximum likelihood (ML) estimator can be computed based on Kalman Filter, i.e. given a time series and an ARIMA model, how can I compute the ARIMA parameters for prediction. Could you please give me some help or provide some materials for it? Thank you so much! will _ 享用世界上最大的电子邮件系统― MSN Hotmail。 http://www.hotmail.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 and provide commented, minimal, self-contained, reproducible code.
Re: [R] 'initial value not feasible' in constrOptim
Hi, On Sep 7, 2007, at 11:00 PM, Yuchen Luo wrote: constrOptim(c(0.5,0.3,0.5), fit.error, fit.error.grr, ui=-1*ui,ci=-1*ci) and I am confronted with error message initial value not feasible I plug in the initial value of (0.5,0.3,0.5) to function fit.error and fit.error.grr and have pretty reasonable result. That doesn't mean the constraint is satisfied, which depends on the values of ui and ci but they are not provided so it's hard to tell where the problem is. hth, Ingmar I inequality ui %*% theta - ci = 0 as suggested in the R manual and it is satisfied. In case that this is a typo of the manual, I let ui=-ui and ci=-ci and try constrOptim again but the same warning message pops up. Could you please point me a way out of this? I am actually trying to translate a fortran code to R and the function I want to replace is DBCPOL, which used 'the complex method described in Nelder and Mead (1965) and Gill et al. (1981). I believe contrOptim is better than it because it is newer, is it? Best Wishes Yuchen Luo [[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 and provide commented, minimal, self-contained, reproducible code. __ 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 and provide commented, minimal, self-contained, reproducible code.
[R] writing complex outputs to table
So I've come across a few cases where complex outputs from functions will not write to tables. The most recent case involves the TukeyHSD function in the stats package. If I save the TukeyHSD call and print it, that obviously goes fine, but when I try writing to a table, I get an error message that says cannot coerce class \multicomp\ into dataframe. What does this mean, and how do I work around it? Is there a more fail-safe general method of writing complex outputs to a table? The story here is I want to be able to call certain values from the TukeyHSD results to produce custom summaries. Using R version 2.4 on Windows XP.---steve __ 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 and provide commented, minimal, self-contained, reproducible code.
