Re: [R] Latent Class Analyisis in R
Helen, You may consider using LCA 1.1, written by Niels Waller at Vanderbilt University. You may need to get it from his website at Vanderbilt instead of CRAN, at least it was the case in the past. Tim Liao Original message Date: Mon, 18 Apr 2005 12:29:41 -0400 From: Dennis, Helen [EMAIL PROTECTED] Subject: [R] Latent Class Analyisis in R To: r-help@stat.math.ethz.ch Hi, I am new to R. I would like to know if there is a package available that will estimate a 2-class Latent Class Analysis, with trichotomous observed variables, some of which are free to covary. I have read the PDF files regarding the e1071 and gllm packages, but it appears that these only allow dichotomous measured variables, and it is not clear to me whether they allow the measured variables to covary. Thanks! Helen Dennis Education Associate Assessment and Analysis Group Delaware Dept. of Education 401 Federal Street Suite 2 Dover, DE 19707 [EMAIL PROTECTED] tel: 302-739-6700 fax: 302-739-3092 __ 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] problem with logistic regression
Helene, The problem is not with R, but with the specification of the SAS procedure you used. It would be simpler and more comparable if you specify your model in SAS with Proc Logistic or Proc Genmod. See if they work out for you, Tim Original message Date: Mon, 7 Feb 2005 17:19:54 +0100 From: [EMAIL PROTECTED] Subject: [R] problem with logistic regression To: r-help@stat.math.ethz.ch Cc: [EMAIL PROTECTED] Hi, we try to do a logistic regression with the function glm. But we notice that this function don't give the same results as the SAS proc catmod (differents estimate given). We try to change the contrast on R system with: options(contrasts=c(unordered=contr.SAS,ordered=contr.poly)) We also try with brlr and logistf functions. Unfortunately, the estimate aren't still the same. Please could someone help us. Thank you -- This mail sent through Polytech'Lille WebMail (IMP) __ 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] Std Err on Concentration measures
David Giles has a paper on calculating standard errors for the Gini: http://web.uvic.ca/econ/ewp0202.pdf Tim Original message Date: Sat, 5 Feb 2005 11:43:02 +0100 From: Angelo Secchi [EMAIL PROTECTED] Subject: [R] Std Err on Concentration measures To: r-help@stat.math.ethz.ch Hi, I'm using the ineq package to calculate some concentration measures (Gini, Herfindal, ...) and I was wondering if there's around also a function to calculate standard error on these measures. If not, is anybody aware of where I can find a reference on this point? Thanks. -- Angelo Secchi PGP Key ID:EA280337 __ 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] GLM fitting
To push the point a bit further, Vito, if you allow just a bit variation in the data by changing one of the y=1 cases to 0 or one of the y=0 cases to 1, then you'll be able to fit the glm model. If these are real-world data and if you still want to describe them, then a deterministic statement y=1 if xa y=0 if x=a where a can be any value between 29 and 33 would work because there is no uncertainty in the model (other than the exact location of a). Tim Original message Date: Fri, 28 Jan 2005 09:55:53 -0500 From: Charles Annis, P.E. [EMAIL PROTECTED] Subject: RE: [R] GLM fitting To: 'Vito Ricci' [EMAIL PROTECTED], r-help@stat.math.ethz.ch Vito: Please plot your data: y - c(1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0) x - c(37, 35, 33, 40, 45, 41, 42, 20, 21, 25, 27, 29, 18) plot(x, y) You will see that ANY step function between 29 x 33 will describe these observations perfectly. Charles Annis, P.E. [EMAIL PROTECTED] phone: 561-352-9699 eFax: 614-455-3265 http://www.StatisticalEngineering.com -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Vito Ricci Sent: Friday, January 28, 2005 5:14 AM To: r-help@stat.math.ethz.ch Subject: [R] GLM fitting DeaR R-useRs, I'm trying to fit a logist model with these data: dati y x 1 1 37 2 1 35 3 1 33 4 1 40 5 1 45 6 1 41 7 1 42 8 0 20 9 0 21 10 0 25 11 0 27 12 0 29 13 0 18 I use glm(), having this output: g-glm(y~x,family=binomial,data=dati) Warning messages: 1: Algorithm did not converge in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, 2: fitted probabilities numerically 0 or 1 occurred in: glm.fit(x = X, y = Y, weights = weights, start = start, etastart = etastart, g Call: glm(formula = y ~ x, family = binomial, data = dati) Coefficients: (Intercept)x -348.2311.23 Degrees of Freedom: 12 Total (i.e. Null); 11 Residual Null Deviance: 17.94 Residual Deviance: 7.011e-10AIC: 4 I don't understand the meaning of warning. Can anyone help me? Many thanks. Cheers, Vito = Diventare costruttori di soluzioni Became solutions' constructors The business of the statistician is to catalyze the scientific learning process. George E. P. Box Top 10 reasons to become a Statistician 1. Deviation is considered normal 2. We feel complete and sufficient 3. We are 'mean' lovers 4. Statisticians do it discretely and continuously 5. We are right 95% of the time 6. We can legally comment on someone's posterior distribution 7. We may not be normal, but we are transformable 8. We never have to say we are certain 9. We are honestly significantly different 10. No one wants our jobs Visitate il portale http://www.modugno.it/ e in particolare la sezione su Palese http://www.modugno.it/archivio/palese/ __ 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-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] Linear Trend Analysis?
Chris, While there might be certain functions in R that I'm not aware of for such purposes, anything (well, almost) can be done in R if you're willing to write a line or two of code, and that's the beauty of R. In a course I recently taught, I used the following code to generate individual data from grouped data, which would give the same results as using fweight=count in Stata. Ind.Data-data.frame(cbind(rep(Y,freq),rep(X1,freq),rep(X2,freq))) where Y is the dependent variables and X1 and X2 are two explanatory variables and freq is your count variable. Hope this helps, Tim F Liao Professor of Sociology Statistics University of Illinois Urbana, IL 61801 Original message Date: Wed, 26 Jan 2005 12:54:11 -0600 From: Chris Bergstresser [EMAIL PROTECTED] Subject: [R] Linear Trend Analysis? To: R-help@stat.math.ethz.ch Hi all -- I'm trying to use R for my Analysis of Categorical Data class, but I can't figure out how to do a weighted linear trend analysis. I have a table of categorical data, to which I've assigned weights to the rows and columns. I need to calculate r and M^2, which is apparently done in SAS using PROC FREQ and in STATA using correlate var1 var2 fw=count. What's the command for R? -- Chris __ 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] Need help to transform data into co-occurence matix
Judie, You may want to see if the MedlineR library, which has a program for constructing co-occurrence matrices, will work for you. The program can be found at: http://dbsr.duke.edu/pub/MedlineR/ Have fun with it, Tim Liao Professor of Sociology Statistics University of Illinois Urbana, IL 61801 Original message Date: Thu, 20 Jan 2005 18:19:19 -0800 (PST) From: Judie Z [EMAIL PROTECTED] Subject: [R] Need help to transform data into co-occurence matix To: r-help@stat.math.ethz.ch Dear R experts, I have the data in the following fomat(from some kind of card sorting process) ID Category Card numbers 1 1 1,2,5 1 2 3,4 2 1 1,2 2 2 3 2 3 4,5 I want to transform this data into two co-occurence matrix (one for each ID) -- For ID 1 1 2 3 4 5 1 1 1 0 0 1 2 1 1 0 0 1 3 0 0 1 1 0 4 0 0 1 1 0 5 1 1 0 0 1 -- For ID 2 1 2 3 4 5 1 1 1 0 0 0 2 1 1 0 0 0 3 0 0 1 0 0 4 0 0 0 1 1 5 0 0 0 1 1 The columns and rows are representing the card numbers. All 0s mean the card numbers are not in the same category, vice versa. Is there any way I can to this in R? I would really appreciate your help. Judie, Tie - [[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-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] GAM: Remedial measures
Jean, The standard treatment of overdispersed data when using the Poisson distribution to model count data is to switch to the negative binomial distribution. Hope this helps, Tim Liao Original message Date: Thu, 13 Jan 2005 18:22:29 -0500 From: Jean G. Orelien [EMAIL PROTECTED] Subject: [R] GAM: Remedial measures To: r-help@stat.math.ethz.ch I fitted a GAM model with Poisson distribution to a data with about 200 observations. I noticed that the plot of the residuals versus fitted values show a trend. Residuals tend to be lower for higher fitted values. Because, I'm dealing with count data, I'm thinking that this might be due to overdispersion. Is there a way to account for overdispersion in any of the packages MGCV or GAM? I welcome any suggestions that one may have on this topic. Jean __ 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] doing many commands within R
Sounds like you've got a file referencing problem. You may
want to try and input the file into R using a simple
read.table command or something similar without yet running
your long script to see if your file can be called up.
Tim
Original message
Date: Mon, 10 Jan 2005 13:55:28 +0100 (CET)
From: Cserhti Mtys [EMAIL PROTECTED]
Subject: [R] doing many commands within R
To: r-help@stat.math.ethz.ch
Dear all,
I'm new to this list, so let me greet everyone.
My problem is that I have several thousand data files which I
want to
perform a lot of R commands on, which are found in a seperate
.R script.
Now, what I did was within the R prompt, I used to read in a
list of the
data files.
e.g.
namelist - readLines(list_of_names,n=-1)
for (i in 1:100) {
k - function(namelist[i])
write(k,file=outputfile,append=TRUE)
}
Next, I tried automating the R commands by making a loop.
Within the
loop I called the R-script. Within ecery single loop R called
the R-script
and performs the commands therein (or is supposed to perform
it) on
the actual data file.
After a loop finished, I tried appending the output to an
output file.
The problem is that R gives an error message saying that it
cannot
open the input files.
What can I do?
Thanks, Matthew
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Re: [R] Calculate Mean of Column Vectors?
Tom, I often use a loop, such as: m - rep(0,1000) for (i in 1:1000) + m[i]-mean(y[,i]) m[1:20] [1] -0.04914724 -0.28253861 -0.31112690 -0.18034371 0.18839167 0.66448244 [7] 0.19769017 -1.28363405 -0.05167451 -0.95492534 -1.23285174 0.10288562 [13] -0.73792584 -0.19297468 -0.59059036 -0.11870173 0.38285449 1.19154411 [19] 0.34663980 0.21322554 But there may be more efficient ways to accomplish this. Tim Original message Date: Mon, 10 Jan 2005 22:45:56 -0500 From: Thomas Hopper [EMAIL PROTECTED] Subject: [R] Calculate Mean of Column Vectors? To: r-help@stat.math.ethz.ch Hello, I've got an array defined as y - rnorm(3000), dim(y) - c(3, 1000). I'd like to produce a 1000-element vector z that is the mean of the corresponding elements of y (like z[1,1] - mean(y[1,1], y[2,1], y[3,1])), but being new to R, I'm not sure how to do this for all elements at once (or, at least, simply). Any help is appreciated. Thanks, Tom __ 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] Segmentation fault while using Mclust function of mclust library in R-2.0.1
Tae-Hoon, Your code worked with version 1.90: Mclust(rnorm(100)) best model: univariate normal with 1 groups averge/median classification uncertainty: 0 / 0 Warning message: optimal number of clusters occurs at min choice in: Mclust (rnorm(100)) The warning should be there because the data you generated have only one cluster. I'm fairly certain it would work with R version 2.0 as well which is what I have on my home computer and I used Mclust for one-dimensional data last month with that version. If it's a problem with the latest version, you can simply download an earlier version of R (yesterday there was a thread about where to find version 1.91 or something like it) and run Mclust with that version. Tim Liao Professor of Sociology Statistics University of Illinois Original message Date: Thu, 06 Jan 2005 02:20:15 -0700 From: Tae-Hoon Chung [EMAIL PROTECTED] Subject: [R] Segmentation fault while using Mclust function of mclust library in R-2.0.1 To: r-help@stat.math.ethz.ch r-help@stat.math.ethz.ch Hi, all; I got an unusual error while using mclust library 2.1-7 on R 2.0.1. When I tried to run Mclust(rnorm(100)), I got segmentation fault error. Does anyone know what causes this problem? I came across the same problem even when I tried to run the example shown in Mclust help using iris data. Thanks in advance, Tae-Hoon Chung -- Tae-Hoon Chung Post-Doctoral Researcher Translational Genomics Research Institute (TGen) 445 N. 5th Street (Suite 530) Phoenix, AZ 85004 1-602-343-8724 (Direct) 1-480-323-9820 (Mobile) 1-602-343-8840 (Fax) __ 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 to avoid rounding of matrix elements?
The signif() function doesn't increase the number significant digits beyond the default. However, if your purpose is simply to see more digits (or what was entered), a paste() function will do the trick though it will trim the trailing zeros. Other ways? Tim Original message Date: Thu, 06 Jan 2005 18:57:03 -0500 From: Ulas Karaoz [EMAIL PROTECTED] Subject: [R] How to avoid rounding of matrix elements? To: R-help@stat.math.ethz.ch Hi all R-users, If I have a matrix with numeric elements as follows, the values are rounded when I try to refer to a specifici element using [], the value is rounded. The same thing happens if the matrix is read from a file, the values are stored to the correct precision but then when I try to refer to a specific element (such as using [], it is rounded. How do I avoid this rounding? mdat-matrix(c (0.0187972950,0.4446208550,1.00,0.0003204380,0.010500 2420,1.1087556380,0.0742164230,0.0362898240), nrow = 2, ncol=4) mdat [,1][,2] [,3] [,4] [1,] 0.01879729 1.0 0.01050024 0.07421642 [2,] 0.44462085 0.000320438 1.10875564 0.03628982 Thanks. __ 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] plots
You can copy (right click then choose metafile) and paste into Word easily, though sometimes you may have problem sizing the graph, depending on how it's produced. However, single framed graphs work quite straightforwardly. Tim Liao Original message Date: Mon, 27 Dec 2004 17:00:19 -0800 (PST) From: duraikannan sundaramoorthi [EMAIL PROTECTED] Subject: [R] plots To: r-help@stat.math.ethz.ch Is there a way to save plots and use in a word document. Thanks for your help in advance. durai __ Send holiday email and support a worthy cause. Do good. __ 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] violinplot options
Uwe is right. You can add titles quite easily. Specifically, you can use title(main=...,ylab=...) and that will do the trick after you have used vioplot to do the plot. Tim Liao Original message Date: Wed, 17 Nov 2004 10:55:33 +0100 From: Uwe Ligges [EMAIL PROTECTED] Subject: Re: [R] violinplot options To: Tanja Zseby [EMAIL PROTECTED] Cc: [EMAIL PROTECTED] Tanja Zseby wrote: Hi, I am using the function vioplot() to generate violin plots. Now I would like to add a label to the y axix and a title to the diagram. Just setting ylab didnt work. Is it possible to set such options for the function ? I tried also with the function simple.violinplot, but also with this I couldnt set the options. Kind Regards Tanja Looks like nobody else has responded so far. If you are talking about the function in the package also called vioplot: The function is not very well designed. But since there is not much code in it, it is quite easy to add additional functionality yourself by adapting the whole function. Uwe Ligges __ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html __ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R- project.org/posting-guide.html __ [EMAIL PROTECTED] 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] help on EM Algorithm for bivariate normal
The three packages that someone else mentioned in response to your post flexmix mixreg mclust may be usefule in real applications. On the other hand, if your interest is in teaching EM or developing your own EM by using a simple example, the most recent issue of The American Statistician has an article with a sample R code for the purpose. Right now I'm away from my journal. But if you would want further info, let me know and I can find it for you. Tim Liao Original message Date: Tue, 16 Nov 2004 18:22:07 +0100 From: [EMAIL PROTECTED] Subject: [R] help on EM Algorithm for bivariate normal To: [EMAIL PROTECTED] Hi, I woul like to know if it is possible to have a R code to generate EM Algorithm for a normal bivariate mixture. Best regard, S.F. __ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R- project.org/posting-guide.html __ [EMAIL PROTECTED] 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] glim in R?
After some futile searches, I decided to ask the list to see if any of the sages out there would have an answer: I have a function I wrote a few years ago in S, which calls glim numerous times. I'd like to port it to R, but glm works differently from glim, which takes as part of its input an X design matrix. I probably could write a function to convert glim to glm, but hope this wouldn't be necessary... Tim Liao __ [EMAIL PROTECTED] 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] glim in R?
Great suggestions, and it looks like either suggestion
should work, although the output from glm may not conform to
those from glim, thus some more code there perhaps.
Many thanks,
Tim
Original message
Date: Mon, 15 Nov 2004 14:28:50 -0400 (AST)
From: Rolf Turner [EMAIL PROTECTED]
Subject: Re: [R] glim in R?
To: [EMAIL PROTECTED]
Cc: [EMAIL PROTECTED]
Tim Liao wrote:
After some futile searches, I decided to ask the list to
see if any
of the sages out there would have an answer:
I have a function I wrote a few years ago in S, which
calls glim
numerous times. I'd like to port it to R, but glm works
differently
from glim, which takes as part of its input an X design
matrix. I
probably could write a function to convert glim to glm,
but hope this
wouldn't be necessary...
I doubt that you will get any joy in locating a glim()
function for
R. No-one would write one; that would be wheel-re-
invention given the
existence of glm().
The glim() function is antiquated and is or should be
deprecated.
The technology has moved beyond that. What you really
should do is
re-write your code to call glm().
If it is ***really*** necessary to pass the design matrix,
you should
be able to
o convert that matrix to a data frame, say ``ddd''
o call glm(formula,data=ddd)
o the formula would presumably be simply something
like ``y ~ .'' since the predictors would simply
be all of the individual columns of your data
frame.
I can't see this as being particularly difficult recoding.
Or if you
insist, you could do just create your glim() function as:
glim - function(y,X,...) {
X - as.data.frame(X)
glm(y~.,data=X,...)
}
(I can't really remember the glim syntax, but ``glim
(y,X,...)'' is
a reasonable facsimile.)
If your design matrix has a constant column you would want
to strip
it out before passing the matrix to you glim() function.
cheers,
Rolf Turner
[EMAIL PROTECTED]
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Re: [R] Calling Other (non-C or Fortran) Programs from R
Here's my report on the issue: The command 'system' combined with either 'scan' or 'read.table' (depending on what I want to do with the output in each step) worked beautifully. Cheers, Tim Liao __ [EMAIL PROTECTED] 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] Calling Other (non-C or Fortran) Programs from R
Thanks to both Duncan Murdoch and Brian Ripley. LEM indeed is the program that Brian referred to in his response, a program for latent class/trait loglinear and event history analysis compiled with Borland Pascal. There's a dos version and a windows version. Not sure the program will produce dll's, but I'll do a bit exploration and report back. Tim Liao Original message Date: Sun, 7 Nov 2004 18:57:52 + (GMT) From: Prof Brian Ripley [EMAIL PROTECTED] Subject: Re: [R] Calling Other (non-C or Fortran) Programs from R To: Duncan Murdoch [EMAIL PROTECTED] Cc: Tim F Liao [EMAIL PROTECTED], [EMAIL PROTECTED] On Sun, 7 Nov 2004, Duncan Murdoch wrote: On Sun, 7 Nov 2004 08:50:25 -0600, Tim F Liao [EMAIL PROTECTED] wrote: Hi! I wonder if anyone has experiences of calling other programs from R (i.e., not C or Fortran programs). Specifically I want to call LEM from R and execute it in a loop to process its output in R. Thanks, I don't know what LEM is. If it's a language that can produce DLLs or .so's, then it should be straightforward to call them. If it's a program using standard input and output, the system() function is what you want. Nor do, I, but my guess is that it is the program referred to at http://ourworld.compuserve.com/homepages/jsuebersax/soft.htm #LEM Perhaps Tim F Liao can enlighten us. -- 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 __ [EMAIL PROTECTED] 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] Calling Other (non-C or Fortran) Programs from R
Hi! I wonder if anyone has experiences of calling other programs from R (i.e., not C or Fortran programs). Specifically I want to call LEM from R and execute it in a loop to process its output in R. Thanks, Tim Liao __ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
