similar to: Principle component analysis

Dear All, In a package, I want to use PCA function. The structure I used follow this page: http://www.statmethods.net/advstats/factor.html. fit<-principle(mydata, nfactors=9, rotation=TRUE) or: result<-PCA(mydata) But I don't known why R language in my computer noticed: "not found principle", "not found PCA". I download and installed

Hi All, I'd like to build a package for the community that replicates the output produced by SAS "proc varclus". According to the SAS documentation, the first few steps are: 1. Find the first two principal components. 2. Perform an orthoblique rotation (quartimax rotation) on eigenvectors. 3. Assign each variable to the rotated component with which it has the higher squared

Where can I found hepl about latex errors: the R CMD check tells me less, but: * checking PDF version of manual ... WARNING LaTeX errors when creating PDF version. This typically indicates Rd problems. * checking PDF version of manual without hyperrefs or index ... ERROR Re-running with no redirection of stdout/stderr. Hmm ... looks like a package Error in texi2dvi(file = file, pdf = TRUE, clean

Hello, I need to do a principal component analysis with EQUAMAX-rotation. Unfortunately the function principal() I use normally for PCA does not offer this rotation specification. I could find out that this might be possible somehow with the package GPArotation but until now I could not figure out how to use this in the principal component analysis. Maybe someone can give an example on how to do

Hello! I have two question that rose from trying to tacle the same problem in two differnet ways. What I want to do is to plot axes (only values or labels, no tick marks) in such a way that 'cex' can be very small, text can be perpendicular to the axis (as in axis(las=2) ) and the text is stil at the right position. Let me demonstrate with a small example:

Hi, I am puzzeled with a differing result of princomp in R and FACTOR in SPSS. Regarding the amount of explained Variance, the two results are the same. However, the loadings differ substantially, in the unrotated as well as in the rotated form. In both cases correlation matrices are analyzed. The sums of the squared components is one in both programs. Maybe there is an obvious reason, but I

I'm going to start translating winehq.com into italian, and hope (With the hepl of a few friends) to start spainsh and sweedish soon, the winehq webmaster is not apparently going to support us, but in any case, we a starting, if anybody wants to help or wants to translate into more languages, just e-mail me.

Hi all, is it possible to run factor analysis in R such that the routine returns - unstandardized factor scores (according to the original scale) - rotated factor scores (these may be standardized) So far I have only found the possibility to return standardised unrotated factor scores. Thank you very much, Ursula ==================================================== NFO Infratest Ursula

Dear all I'm unable to find an example of extracting the rotated scores of a principal components analysis. I can do this easily for the un-rotated version. data(mtcars) .PC <- princomp(~am+carb+cyl+disp+drat+gear+hp+mpg, cor=TRUE, data=mtcars) unclass(loadings(.PC)) # component loadings summary(.PC) # proportions of variance mtcars$PC1 <- .PC$scores[,1] # extract un-rotated scores of

Dear All, I would like to plot text with a box around it. I used strwidth and strheight to compute the size of the box which is plotted with rect: z <- rnorm(10) # horizontal text works plot(rnorm(10)) x1 <- 5 y1 <- 0 label <- "Label" cha <- paste(" ", label, " ", sep = "") xh <- strwidth(cha, cex = par("cex")) yh <-

hi everyone : i'm trying to rotate the x axis labels in my barlot ( yes, since yesterday ) and my prob12matrix is 2 rows and 16 columns and i followed the instructions in the archive "rotate barplot labels". i was really looking forward to seeing my labels turned but the plot just came back with no labels ? can anyone see what might be going on ? it worked when i followed the

Hello, I'm doing a pca analysis and get unrotated PCA results (using "pca"). I then used "varimax" to rotate the PCs, vload <- varimax(cproj,normalize=TRUE,eps=1e-5) #cproj is the "loadings" from "pca" and calculate the score coefficients with: coef <- solve(correlation matrix of original data) %*% (vload$loadings) Then calculate the

I am using R mainly for multiple linear regression and principal components analyses and I am quite happy with it. I think it is a worderful work you have done. But I am having a problem when using Varimax for rotating loadings obtaines from a princomp (I use the cor = TRUE option): the variance across the components in the variables does not mantain. Let me explain it with an example in which

It may depend on which decomposition method you are using, princomp uses eigen whereas prcomp use svd. What does Statistica use? -----Original Message----- From: Williams, Allyson Sent: Tuesday, 3 September 2002 10:20 AM To: r-help at stat.math.ethz.ch Subject: Hello, I'm doing a pca analysis and get unrotated PCA results (using "pca"). I then used "varimax" to

Ok, I have checked in the first draft of rails win32 service into examples mongrel_rails_service is the controller, and the _svc script is actually the service. The controller uses Mongrel Commands as requested by Zed, but the service was simplified for debugging purposes, later will merge and refactor both files. The environment defaults to production, so if wanted to run it on other, you must

I have an exercise. With 3 kinds of yohourt a,b,c. There are 25 participatients estimate 3 norms: taste (va,vb,vc), structure (ca,cb,cc) and price (ga,gb,gc) and give the mark from 1 to 5. I don't know how to PCA this data. Please help me! I attached the data file follow: Va Vb Vc Ca Cb Cc Ga Gb Gc 4 2 4 5 5 5 4 4 2 2 2 4 3 2 5 4 5 1 2 2 1 2 3 3 3 1 4 1 1 2 2 3 3 4 3 2 3 4 4 4 3 1 2 1 2 1 1 1

We are using a solaris box running samba We have seen that approximately one month's email is missing from a user's pst file if the file is located on a samba share. The general and specific sections of our smb.conf file are as below. The mailboxes are stored in the [mail] share. # Samba config file created using SWAT # from 10.186.1.254 (10.186.1.254) # Date: 2005/07/27

Hello, I have a .txt file with many clinical exams reports (two examples of which are attached to the message). I have to create a data frame with as many rows as the number of clinical exams reports in the text file and 24 columns: the first (to be labelled as "ID") with a number (representing an identification code) which is the number in the 13th line of the clinical report following

Hello, I don't know if this was reported before, I never found anything related. A few days ago I installed a Domain Controller with samba 3.5.6, with an ldap backend. I added a Windows 2008 Server R2 to the domain but never was able to authenticate to the domain, I always got the error "There are currently no logon....." . After a time I decided to try samba 3.4.8, without any

Earl Chew wrote: > Erik, > > My working view has this as the last commit: > > commit 19e3918d4e35f4ab99e7fcc58c169025c576dd16 > Author: David Schleef <ds at schleef.org> > Date:?? Thu Aug 25 18:40:29 2011 -0700 > > ??? Fix md5 structure clearing in previous commit > > > > Using this, test_metaflac.sh runs cleanly with my cuesheet.c change.