search for: pricipals

Hi all, Does anyone know how to get the independent components and loadings from an Independent Component Analysis (ICA), as well as principal components and loadings from a Pricipal Component analysis (PCA) using the fastICA package? Or perhaps if there's another way to do ICAs in R? Below is an example from the fastICA manual (http://cran.r-project.org/web/packages/fastICA/fastICA.pdf)

Hai,   Im setting up a new proxy with winbind en kerberos auth. So far everything ok but now im setting up my nfsv4 (with automount with systemd) for my user login on that server.   For the new setup i compaired my old proxy with my new proxy. I noticed the old proxy is missing some attibutes in the AD object.   For example, Samba member1 ( installed as 4.3.x ) upgraded to 4.5.3 here

rm(list=ls()) yx.df<-read.csv("c:/MK-2-72.csv",sep=',',header=T,dec='.') dim(yx.df) #get X matrix y<-yx.df[,1] x<-yx.df[,2:643] #conver to matrix mat<-as.matrix(x) #get row number rownum<-nrow(mat) #remove the constant parameters mat1<-mat[,apply(mat,2,function(.col)!(all(.col[1]==.col[2:rownum])))] dim(yx.df) dim(mat1) #remove columns with numbers of

Hi all. I have the following setup: 1st dc is on CentOS 6 with Sernet samba 4.1.13 2nd dc is on Debian 7 with Sernet samba 4.1.13 The 2 dc work as expected. on CentOS I was able to configure sssd to work on Debian I'm using winbind Now I have a 3rd server which is CentOS 7 with samba 4.1.1 from CentOS repository. This system serves as a file server and works ok with samba, but I have a

I want to set up a new IMAP server with Dovecot, so far I've been running Cyrus. I'm running dovecot on Debian Jessie. The general idea of the system would be: 1) Virtual users, i.e. login users are disjoint from any mail accounts. 2) Real-Users authenticate using their kerberos tickets. 3) There is a n-to-n mapping of real to virtual users. 4) Maildirs shall be stored on glusterfs. 5)

biplot could benefit from allowing colour palettes, eg. allowing col=list(xcol= xxpal, ycol= yypal) where xxpal and yypal are palettes. For an example, see the robust pricipal components in the principal componetent section of <http://www.statlab.uni-heidelberg.de/data/olive/olive10.pdf> The required change is to replace col[1L] resp. col[2L] by col[1L]] reep. col[[2L]] for example in

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

I am measuring the performance of one TCP connection over two symmetric paths. Packets are sent to two paths alternatively. I found that when the latency of each path are within 1ms, the overall TCP throughput is the *sum* of the throughput of the two paths. However, when the latency of the two paths increases to 5ms, the overal TCP throughput drops to the throughput of a *single* path. Has anyone

https://bugzilla.mindrot.org/show_bug.cgi?id=2655 Bug ID: 2655 Summary: AuthorizedKeysCommand with large output can deadlock Product: Portable OpenSSH Version: 7.2p2 Hardware: All OS: Linux Status: NEW Severity: normal Priority: P5 Component: sshd Assignee: unassigned-bugs at

Dear R list, I'm trying to calculate Mahalanobis distances for 'Species' of 'iris' data as obtained below: Squared Distance to Species From Species: Setosa Versicolor Virginica Setosa 0 89.86419 179.38471 Versicolor 89.86419 0 17.20107 Virginica 179.38471 17.20107 0 These distances were obtained with proc 'CANDISC'