search for: cancor

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_y...

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 with this case? maybe before apply the two...

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 intercept, since X & Y are mean centered by default in...

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[,...

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 Profess...

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 situa...

Dear list, I'm trying to compare two sets of variables using canonical analysis. My X variables include 3 climate indices, all continuous. My Y variables describe a set of 3 environmental moisture measurements. However, I would also like to include a class variable for habitat type. My colleaugue was able to do this in SAS, but we could not find a way to do it in R. Is anyone familiar

kalish at psy.uwa.edu.au wrote: > > I'm a newbie at R, and can't get libraries to really work. > I did this: > > library(help = mva) > cancor Canonical Correlations > cmdscale Classical (Metric) Multidimensional Scaling > dist Distance Matrix Computation > hclust Hierarchical Clustering > kmeans K-Means Clustering > prcomp...

Having searched and searched I still haven't found what's the problem with my data (I've attached the relevant file). Every time I tried to use the CANCOR-Function I got error messages. So I turned to check my two sets of variables separately by using the "colMeans"-Function. With one set no problem .. but with the other. My input : > struktur <- read.delim("struktur.csv", header=TRUE, sep = ";") >colMeans(str...

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 ...

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

...se for improve it or check if i make any mistake . i appriciate your suggestion . i have check the result roughly to the SPSS's. though i do not know excatly how SPSS calculate the redundancy index,but my result is similar to the SPSS's. thank you. -------------------------------------- cancor.index<-function(object,x,y,center=T,scale=F){ x<-scale(x,center=center,scale=scale) y<-scale(y,center=center,scale=scale) ncor<-length(object$cor) #number of canonical variables nx<-dim(object$xco)[1] #number of X ny<-dim(object$yco)[1] #number of Y xscore<-x%*%(object$xcoe[,1:...

Colleagues, I'm developing a library of functions for community ecology analyses and have a couple of questions that I've not been able to answer via faqs or docs. 1) Are there existing functions for: a) Bray-Curtis (polar) ordination? b) non-metric multidimensional scaling (NMDS)? c) canonical correlation analyses (CCA and DCA)? d) TWINSPAN (doubtful...)? 2) If not,

...o compile R against blas - ACML-variety or otherwise. Moreover, putting in --with-lapack explicitly causes all sorts of errors - the main one being 'hinted at' in the R admin docs. The error is Error in La.svd(x, nu, nv) : BLAS/LAPACK routine 'DGESDD' gave error code -12 Calls: cancor -> svd -> La.svd -> .Call Execution halted So, from the admin guide, I find the following Since ACML contains a full LAPACK, if selected as the BLAS it can be used as the LAPACK /via/ --with-lapack. If you do use --with-lapack, be aware of potential problems with bugs in the LAPACK 3.0...

I'm a newbie at R, and can't get libraries to really work. I did this: > library(help = mva) cancor Canonical Correlations cmdscale Classical (Metric) Multidimensional Scaling dist Distance Matrix Computation hclust Hierarchical Clustering kmeans K-Means Clustering prcomp Principal Componen...

Does anyone know how to get a meaningful estimate of the covariance matrix for the first canonical variate coefficients for the right-hand (X) side of a canonical regression? cancor returns coefficients but not precisions. This would have to be subject to some constraint because of identifiability problems (arbitrary scaling). I think that SPSS attempts to do this but seems to condition on the Y-coefficients which ignores a major source of uncertainty. Thanks Frank --...

...r code which already exists at > StatLib. Here is my present list (only some of which is finished). > 1. Principal Components > prcomp > 2. Clustering > dist, hclust, plclust, subtree, cutree > kmeans > 3. Canonical correlations (is this ever used?) > cancor > 4. Scaling > cmdscal, sammon, isoscal > 5. Graphics > (Optimal) profile plots > biplots > stars etc > A bunch of Michael Friendly's stuff converted from SAS > 6. Discriminant analysis > discr (a real one which takes prior probs and retu...

...errors. Make, same thing. Make check - same problem with stats. But, this time a .fail file got created in tests/Example. Bottom of the file has something which might resonate with someone out there: Error in La.svd(x, nu, nv) : BLAS/LAPACK routine 'DGESDD' gave error code -12 Calls: cancor -> svd -> La.svd -> .Call Execution halted So, from the admin guide, I find the following Since ACML contains a full LAPACK, if selected as the BLAS it can be used as the LAPACK /via/ --with-lapack. If you do use --with-lapack, be aware of potential problems with bugs in the LAPACK 3.0...

Hi, Does anybody know some package or function that computes canonical variates? Luis & Janete -------------------------------------------- sapo.pt/kitadsl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

I've been asked about "Canonical Variance Analysis" (CVA). I don't see any reference to it searching the R site. Does it go by other names? Genstat describes it thus: Canonical variates analysis operates on a within-group sums of squares and products matrix, calculated from a set of variates and factor that specifies the grouping of units. It finds linear combinations of the