similar to: Cancor

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

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],

Dear all, I didn't find any graphical solution in the package "mva" to plot the canonical scores from a CCA (canonical correlation analysis). Does anybody knows how to plot or has anybody already programmed : - the map of the canonical scores, - the graph of the canonical weights, - the correlation circle i.e. the canonical loadings ? Thank you for help ...

R-Help I am attempting to create a series of bivariate normal distributions. So using the mvtnorm library I have created the following code ... # Standard deviations and correlation sig_x <- 1 sig_y <- 1 rho_xy <- 0.0 # Covariance between X and Y sig_xy <- rho_xy * sig_x *sig_y # Covariance matrix Sigma_xy <- matrix(c(sig_x ^ 2, sig_xy, sig_xy, sig_y ^ 2), nrow = 2, ncol = 2)

For compile and link Basicmath files (using shell script): llvm-gcc -emit-llvm basicmath_small.c -c -o basicmath_small.bc llvm-gcc -emit-llvm cubic.c -c -o cubic.bc llvm-gcc -emit-llvm isqrt.c -c -o isqrt.bc llvm-gcc -emit-llvm rad2deg.c -c -o rad2deg.bc llvm-link basicmath_small.bc cubic.bc isqrt.bc rad2deg.bc -o basicmath.bc

Hi, I'm trying to compile the basicmath benchmark from the MiBench suite to the MIPS target. However, when I call llc with the linked llvm bitcode, the compilation gives an error apparently related to some unsupported feature. The same error occurs when I select -march=arm, but it works for X86. In details: Commands I used to compile basicmath: clang -static -O3 basicmath_small.c rad2deg.c

Ok. And what does llvm-gcc --version show? --- With best regards, Anton Korobeynikov On Mar 6, 2012 5:22 PM, "Rafael Parizi" <parizi.computacao at gmail.com> wrote: > > For compile and link Basicmath files (using shell script): > > llvm-gcc -emit-llvm basicmath_small.c -c -o basicmath_small.bc > llvm-gcc -emit-llvm cubic.c -c -o cubic.bc > llvm-gcc -emit-llvm

Hello > For this, for example, initially I compile the sources How have you made this step? -- With best regards, Anton Korobeynikov Faculty of Mathematics and Mechanics, Saint Petersburg State University

Hi, I'm trying to compile the benchmarks from Mibench suite with the application of the all LLVM's tranformation passes. Moreover, I'm trying to generate assembly code for Mips architecture for extraction of energy and performance metrics. For this, for example, initially I compile the sources and link them generating a bitecode file. After, I apply each optimization using opt tool:

Dear R-users When running a glm polynomial model with one explanatory variable (example Y~X+X^2), with a poisson or binomial error distribution, the predicted values obtained from using the predict() function and those obtained from using the coefficients from the summary table "as is" in an equation of the form Y=INTERCEPT+ XCoef x X + XCoef x X^2, differ considerably. The former are

Dear r-help list, I'm trying to use multiple imputation for my MSc thesis. Having good exemples using the Hmisc package, I tried the aregImpute function. But with my own dataset, I have the following error : Erreur dans matxv(X, xcof) : columns in a (51) must be <= length of b (50) De plus : Warning message: In f$xcoef[, 1] * f$xcenter :   la taille d'un objet plus long n'est pas

I'm trying to write a formula method for canonical correlation analysis, that could be called similarly to lm() for a multivariate response: cancor(cbind(y1,y2,y3) ~ x1+x2+x3+x4, data=, ...) or perhaps more naturally, cancor(cbind(y1,y2,y3) ~ cbind(x1,x2,x3,x4), data=, ...) I've adapted the code from lm() to my case, but in this situation, it doesn't make sense to include an

just off the cuff, have you actually created and used any names in the namespace. I don't know for sure, but it wouldn't surprise me if the namespace doesn't exist independently of any uses. ------------------------------ From: Irina Lipov Sent: 9/19/2011 3:16 AM To: llvmdev at cs.uiuc.edu Subject: [LLVMdev] LLVM,metadata for namespaces Hello, I am wring front end for compiler ,the

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

Hi, I am running a logistic regression model using lrm library and I get the following error when I run the command: mod1 <- lrm(death ~ factor(score), x=T, y=T, data = env1) Unable to fit model using ?lrm.fit? where score is a numeric variable from 0 to 6. LRM executes fine for the following commands: mod1 <- lrm(death ~ score, x=T, y=T, data = env1) mod1<- lrm(death ~

llvm-gcc (GCC) 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2.9) Copyright (C) 2007 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. llc --version: Low Level Virtual Machine (http://llvm.org/): llvm version 2.9 Optimized build. Built Mar 5 2012

yes.I have in each namespace at least one function.And I call these functions later. What I tried to do is to take module scope iterate all namespaces defined in it and call createNameSpace for each of them. When debugging I see that the namespaces are generated ,but in IR file there is no debug information for namespaces Also I tried to generate debug information for namespaces ,while treating

Hi, I saw your update regarding "*The DIBuilder interface used by front ends to encode debugging information in the LLVM IR now expects clients to use DIBuilder::finalize() at the end of translation unit to complete debugging information encoding"* Does it mean that in the new version you defer emission of some debug info until the translation is finished and this is a reason to use

Hello r world, Does anyone know a function or package that can compute correlations between sets of XY coordinates? Thanks in advance for your help, Chris

When I use the function cancor of mva package, I found that it doesn't work when one of the matrix has only one column, or both have only one column. The function in Splus 5 with the same name works under those situations. The version of R I am using is 0.63.2 (released on Jan., 1999) on Solaris. Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook