similar to: Error in colMeans ... what's wrong with my data?

Hallo! I lese gro?e Zeitreihen in R ein z.B. mit: > disc<-read.table("F:/R/DATA/discount_rate_usa.txt") disc hat dann folgende Struktur: > disc[1:5] V1 V2 1 01/03/1955 1.5 2 01/04/1955 1.5 3 01/05/1955 1.5 4 01/06/1955 1.5 5 01/07/1955 1.5 ich will das disc als Zeitreihe erkannt wird und will z.B 01/03/1955 in ein Datum verwandeln, aber es wird als

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hello everybody, first of all I want to excuse myself for crossposting. I can't estimate which mailinglist could be the right one for our concern. Struktur AG, member of the Linux Solutions Group e.V., wants to announce an Open Source tender for an implementation of an audio codec compatible with Nellymoser Asao Codec. Struktur wants to pay

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hello everybody, first of all I want to excuse myself for crossposting. I can't estimate which mailinglist could be the right one for our concern. Struktur AG, member of the Linux Solutions Group e.V., wants to announce an Open Source tender for an implementation of an audio codec compatible with Nellymoser Asao Codec. Struktur wants to pay

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'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

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, 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],

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

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

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 ...

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

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

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,

Hello all, I have a problem with the display of filenames > 80 chars when served by Samba-3.0.0 to Windows clients. System: GNU/Linux debian 3.0.1 upgraded to testing/unstable on ALPHA processor (XP-1000), Kernel: custom 2.4.22 + acl support (kernel pkg could only be compiled by downgrading binutils to 2.12.90 & using gcc-3.0) Samba: Samba-3.0.0.final.deb (testing/unstable) smb.conf:

In dovecot 1.2 I can create a shared name space like this: namespace shared { separator = / prefix = users/%%u/ location = Maildir:/PATH/TO/spool/%%u/maildir:INDEX=/PATH/TO/spool/%u/maildir/shared_idx subscriptions = no } now, when I subscribe to a shared mailbox of another user with an dot in the users id, like: users/2 at example.com/INBOX/foo and I list my subscribed mailboxes I get:

Well, CentOS 5.3, which amounts to the same thing. I recently decided to upgrade my main research machine from Fedora Core 8 -> CentOS 5.3. Basically, I was looking to move to a distro with longer 'term-of-life' than the release schedule for Fedora currently allows. The machine is a multi-Opteron box, so both 32- and 64-bit apps natively supported. Since I do a lot of 'linear

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

Dear List, although the library() command tells me that the pcakage "mva" is installed on my machine, I cannot use its functions or get help() about them. And, strange enough, I never installed the package manually. Has it become a part of R-base? I can't find the package among the package sources on CRAN, so I can't (re)install it manually. I'm using R 1.4.0. Can anyone

Hi, I'm having problems with my printer, I can't access the printer not even as root! Please review my smb.conf and give me some hints on what I messed up. If you have some enhancements for me please add comments. Thanks for your efforts, Martin -- ========================================================== I. Thessalonians 4:16 Thanks, Dad, for just letting me be a nerd. We