similar to: bug on cancor (PR#116)

Hi, there, S+ has a function leaps which can be used for criterion based model selection. Is there an equivalent function in R? thanks in advance. Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook Stony Brook, New York 11794-3600 (516)632 9344 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hello, I'm a beginning user of R, now I have a question about canonical correlation analysis (cca). In R,there is a function "cancor.R" used for cca; For example X(n*p1) and Y(n*p2)are the two matrix to be analyzed. In the example given by R, when n> max(p1,n2), cancor(X,Y) works; but when n<p1 or n<p2, cancor(X,Y) doesn't work well because cancor$cor == 1; how to cope

Full_Name: Kenny Ye Version: R-1.1.1 OS: Solaris 2.6 Submission from: (NULL) (129.49.6.133) when i use plot(x,y,axes=F), the axes and the box are still ploted. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Dear R's! I am strugling with cancor procedure in R. I cannot figure out the meaning of xcoef and of yxcoef. Are these: 1. standardized coefficients 2. structural coefficients 3. something else? I have tried to simulate canonical correlation analysis by checking the eigenstructure of the expression: Sigma_xx %*% Sigma_xy %*% Sigma_yy %*% t(Sigma_xy). The resulting eigenvalues were the same

I see some code in R to attach finalizers to external pointer references (Register[C]Finalizer). Anyone have an example of how to code the finalizer? R_RegisterCFinalizer accepts a C function, but I can't see how to get it to operate on the pointer, since the pointer is not passed to the function when its called. RegisterFinalizer takes an R closure, but how is it called from R (tried

Hi Everyone, I posted a similar question about a week ago, but haven't gotten any replies -- I'm afraid that's because my previous question was too vague. Let me try again with a more specific question, and I hope someone can help. NOTE, I know I should be using the newer lme4 package, I just haven't had a chance to update my version of R yet, so the question below relates

Hi, is there R function that does factor analysis? Thanks in advance. Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook Stony Brook, New York 11794-3600 (516)632 9344 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Is there any plan to compile leaps library for windows? thanks. Kenny Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook Stony Brook, New York 11794-3600 Phone (631)632-9344 Fax (631)632-8490 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Hi, from what I understand about the canonical correlation function 'cancor', it looks for correlations in two sets of variables, each represented in matrix form. Right? Sounds exactly like what I need. I have tried the following but I am not sure how to interpret the results. AudioPCs <- c(ArTHarF0PCA$x[,2], ArTHarF1PCA$x[,2], ArTHarF2PCA$x[,2], ArTHarF3PCA$x[,2],

Thanks Arpith for this pointer but it did not contain what I was looking for. However, I solved my issue by finding that the BitCastInst used when outlining OpenMP parallel region offers a method for retrieving the original value within the bitcast via stripPointerCasts(). So what I did to retrieve omp_outlined..45 is: //bitcast is the third argument of __kmpc_fork_call Value *vcall =

Hi everyone, Can I suggest an additional output component in cancor, from package mva? It would be useful to have the number of canonical correlation vectors, equivalently the rank of the covariance between x and y (label "rank"). This would usually be min(dx, dy), where dx and dy have already been computed for the svd function, but there might be situations where it was less than

I'm revisiting the R/S DBI package and was wondering if there is any plan to implement package name spaces in R/S. I've taken to the habit of prepending a few characters to function names in packages to avoid collisions, e.g., dbConnect(). An alternative would be DBI::connect() (s/::/preferred/) which in some ways I find more pleasing. Not having thought about it in detail, it seems pretty

Thanks for your reply. Yes, I was about to recurse over the use list of the argument in the called function. I did not want to pursue that because with this solution, I am going to implement the interprocedural part myself and was wondering if that was not already done. I was not also 100% sure that this will work for any type of arguments. If, based on your response, this is my only solution

Hello, I have been using the USE class to access the use-def chains of different values. However, what I have noticed is that the set of users of a particular value is limited for the appearance of that variable in the current function. How can I get the interprocedural use of a particular value? For example, if a variable *a* is used as an argument in a function call *foo*, the USE analysis

Hi, I am sorry for this question, but I am trying to speed up an application.... I will need to fit many x-y data sets (input from text files) to 4-parameter Pseudo-Voigt peak function. Until now I used SigmaPlot macro to do it (enclosed just in case...) peaksign(q) = if(total(q)>q[1], 1, -1) xatymin(q,r) = xatymax(q,max(r)-r) [Parameters] a = if(peaksign(y)>0, max(y), min(y))

The latest version of `MCMCvis` is now available on CRAN. `MCMCvis` is an R package used to visualize, manipulate, and summarize MCMC output. MCMC output may be derived from Bayesian model output fit with JAGS, Stan, or other MCMC samplers. Improvements since the last CRAN release (0.8.1) include: * ability to calculate and plot prior posterior overlap * ability to return number of effective

Hello, The third argument of the OpenMP runtime call __kmpc_fork_call is the outlined function resulting from omp parallel directive; this is of type kmpc_micro. I can get this argument as an LLVM value by using (callInst->getArgOperand...), but once I get this value, i am stuck in knowing its class type. An example of this value can be: void (i32*, i32*, ...)* bitcast (void (i32*, i32*,

I seem to remember something about an "internal" keyword for R doc files. How do we use it? Tim -- Timothy H. Keitt Department of Ecology and Evolution State University of New York at Stony Brook Stony Brook, New York 11794 USA Phone: 631-632-1101, FAX: 631-632-7626 http://life.bio.sunysb.edu/ee/keitt/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

Its not clear from the documentation whether one should do \keyword[key1, key2} or \keyword{key1} \keyword{key2} in .Rd files. I believe the latter is correct. (At least 'R CMD check' complains when given the first version.) It would help to make this explicit in the R extension writing docs. Tim -- Timothy H. Keitt Department of Ecology and Evolution State University of New

I'm curious if any of the core R developers have considered the possibility of hosting R (v2?) on the parrot common runtime environment. Perl6 will generate byte-code for parrot, as will some future version of python. I can imagine both drawbacks and advantages. Some advantages would be fast byte-code execution and freely mixing perl, python and R modules. Anyone looked into this? Tim