similar to: how to get coefficient and scores of Principal component analysis in R?

Dear All, Currently, I am translating Matlab code to R. I met difficulties to translate such Matlab codes into R: fprintf(fid,(' SPLITTING RESULTS ')); fprintf(fid,(' \n')); fprintf(fid,' Data base to analyze is a matrix %4i x %2i ',[n m]); fprintf(fid,' \n'); fprintf(fid,' h is %2i',h); fprintf(fid,' \n'); fprintf(fid,' group=0

Hi all, This could be very basic. I want to do exploratory factor analysis but I don't have the data, rather I have the correlation matrix. How do I do this with just the correlation matrix? I know for principal components, I can just find the eigen values. Best regards -- View this message in context: http://r.789695.n4.nabble.com/Factor-analysis-tp3040618p3040618.html Sent from the R

Hello, I am trying to run a PCA in R and I cannot get the PC scores for each of the values. Using pcX <- princomp(X) then loadings(pcX) I can get a listing of the eigenvectors but not the actual PC scores for each value in the dataset. I greatly appreciate any help anyone can offer Thanks Ken

Hi I have used fa() to perform a factor analysis of a psychological battery which is thought to have 11 factors. I can identify which factors the loadings relate to easily enough because I can see which items are loading onto each of the columns in the $loading output. However, how can I identify which items or loadings are being used to create each of the columns in the $scores output? I have

One other mod to Ferret I''ve found useful is to add the following line at the top of the each_hit() block in Search::IndexSearcher.search: score = yield( doc, score ) if block_given? This allows a block attached to a search call to adjust document scores before documents are sorted, based on some (possibly dynamic) numerical factors associated with the document, e.g. the number

Hi, The help file on princomp says that 'The signs of the columns of the loadings and scores are arbitrary, and so may differ between differnt programs for PCA, and even between different builds of R'. Does anyone know 1. Whether this applys to all functions like svd, eigen ... etc? 2. During a leave-one-out cross step, I notice the loadings also change sige when a different

Ever wish you could see which *good* games work on Wine? Here's my try at making a simple page which lets you see that at a glance. http://kegel.com/wine/games.html lists the top 50 or so games from each of the last dozen years. http://kegel.com/wine/games-2010.html is the same thing, but just for the first half of 2010. Clicking on a column sorts by that column. Changes since when I first

Hi, I''m implementing a "digg-like" page, that once you digg. The score for each item will dynamically reflect your current action +1 . I am not sure what''s In the controller I have an action responsible for increase of the score.It has a corresponding rjs in view. -------------------------------------------------------------------------------- def arouse

Hello all, I've run a principal component regression using the PLS package. I then applied varimax rotation (i.e., using http://stat.ethz.ch/R-manual/R-patched/library/stats/html/varimax.html). I cannot figure out how to extract the factor loadings post-varimax. Is there a command to do this? scores(x) does not do it. Thanks and happy holidays -- View this message in context:

Suppose that we have o 2-D contingency table where the row variable is nominal and the column one is ordinal. In SAS it is possible to compute the statistic named as row mean scores differ. How can we programmed it in R? (See also Aggresti (2002), Categorical Data Analysis, p. 302) With regards --------------------------------- [[alternative HTML version deleted]]

Dear all, I have read various descriptions of employing resampling techniques, such as the bootstrap, to estimate the uncertainties of the eigenvectors computed by PCA. When I try

Dear all, I'm interested in extracting the score from multinomial logistic regression models fit using multinom, to assess the stregth of assocation of the parameter with the response (akin to the score from clogit/cox regression). currently I'm using R 1.8.1. Is there a function that will extract the score from a multinom object or how i can get back to it? or from using glm? I

Hi all, I was hoping that someone could verify this for me- when I run princomp() on a matrix, it is my understanding that the scores slot of the output is a measure of how well each row correlates (for lack of a better word) with each principal component. i.e. say I have a 300x6 log2 scaled matrix, and I run princomp(). I would get back a $scores slot that is also 300x6, where each value

Hi, Although this is a repost from Asterisk biz, we would like to ask if somebody may help us to develop a native Asterisk module using AQuA technology for voice quality monitoring using the same web service AQuA Meter is using. Thanks, Sevana Finland/Estonia ---------- Forwarded message ---------- From: Sevana Oy <sales at sevana.fi> Date: Mon, Jun 17, 2013 at 7:30 PM Subject: AQuA Meter

hello, I am doing PCA in R using some habitat factors, and I used the function result1=rda() and result2=princomp(),then pick up scores of the result1 and result2 using scores(),but the scores are significantly different,i do not know the meaning of it. Best wishes! Cheng

Dear all, I have a series of variables that looks roughly like the sample data below and I'm trying to conduct a factor analysis. I've omitted cases with missing values for the factor analysis, but now I'd like to use the scores on each component as new variables in the *original* data set for analysis. That is, I'd like to take the scores on each of the two factors and see how

We have a project on which we need to compare various methods for computing factor scores. Are there any R routines available that do parametric bootstrap or compute factor scores?

Dear R-List, I have carried out a factor analysis using fa (psych) with nfactors=2, rotation="oblimin" and fm="pa". Now I have to report both pattern AND structure matrix. As I have understood R-Documentation, this can be obtained by setting the "oblique.scores" argument TRUE (structure matrix) or FALSE (pattern matrix), respectively. However both produced the same

Is there a program to convert p-values into z-scores for meta-analysis purpose? Thanks

In that case, can you please suggest a reliable tool? Thanks, Rhishi From: Christian Hoene [mailto:christian.hoene at symonics.com] Sent: Friday, October 04, 2013 17:30 To: Rhishikesh Agashe; opus at xiph.org Cc: Rasmi Mishra Subject: AW: [opus] ODG (Objective Difference Grade) scores for Opus Encoder using PQEvalAudio Tool Hi Rhishi, PQevalaudio is very unreliable and buggy. I have compared