search for: varclus

I am interested in finding an R version of SAS "Proc Varclus". SAS's Proc Varclus implements an oblique cluster analysis based on principal components. How can I find out if R has a package that runs the same algorithm implemented in SAS "Proc Varclus"? Thank you, Mary Helen Black __________________________ Mary Helen Black, M.S. Keck...

Hi, I'll apreciate your guidance on how can I re-create the output from SAS PROC VARCLUS in R. I've found the varclus function in Hmisc. However, is it possible to use that function to compute for each variable the 1-R**2 ratio (this is the ratio of 1 minus the R-squared with Own Cluster to one minus the R-squared in the Next Closest cluster)? Thanks in advance for any help,...

Dear List What is the R package equivalent of Proc Varclus or Information Value. ANy assistance in determining R equivalents of f Oblique Component Analysis (PROC VARCLUS), Information Value (IV) and Weight Of Evidence (WOE) analysis, and business intelligence http://www.nesug.org/proceedings/nesug06/an/da23.pdf Regards, Ajay Websites- http://decisionst...

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 correlation. The cartoon...

Dear R users: is there a package, similar to varclus in SAS or varclus in S, ported or written for R? Also, is there any other package in R that was designed for grouping the variables under different measures of distance (in cases where data is non-Gaussian, autocorrelated, and so on). Janusz. -- ** Janusz Kawczak...

Folks, I am looking for a means for calculating the 1-R^2 ratio for variable selection to mimic the values of PROC VARCLUS in SAS. While there may be better methods for variable selection, we are trying to duplicate published results at this time. To date, I have been unable to find a way to obtain this value from Hmisc::varclus , stats::hclust and clustvarsel::clustvarsel. Can any of you give me a leg up on a more...

I am using R 1.3.0 on Windows 2000. For an experiment, I am wanting to find the most diverse 400 items to study in a possible 3200 items. Diversity here is based on a few hundred attributes. For this, I would like to do a clustering analysis and find 400 clusters (i.e. different from each other in some way hopefully). From each of these 400 clusters, I will pick a representative. I expect

...addon} and \co{mica} cannot be considered together because of an undefined correlation between them. \co{addon} correlates weakly with \co{sodm} (only). \co{usedlabd} is always unity when it is not missing, so it is also omitted from variable clustering. \begin{center} <<fig=T>>= plot(varclus(~.-addon-usedlabd, data=mydata)) @ \end{center} \section{Analysis of Dose Effects} . . . . \bibliography{/home/feh/bib/feh.bib} \bibliographystyle{abbrv} \end{document} For more information about reproducible statistical reporting, literate programming, and Sweave see http://hesweb1.med.virginia.e...

Hi, I'd got a matrix of correaltion values. Which cluster method can I use to cluster it? Best Regards...

Hi, exist a special cluster-analysis algorithms which can work with NA's. a further "problem" is that i want cluster variables not cases to identify special variable-set's. Is it a common way turn the data.frame and use kmeans,because this works with NA's, or have anybody another method for finding "variable-sets" , with exception of factor analysis. thanks for

...le missing link(s): ols validate predab.resample nomogram transcan text html latex example missing link(s): mice upData text html latex example missing link(s): importData exportData timeDate format.timeDate varclus text html latex example missing link(s): na.pattern xYplot text html latex example missing link(s): trellis error.bar axis.time sas.get text html latex example missing link(s)...

I am using GLM to calculate logit models based on cross-sectional data. I am now down to the hard work of making the results intelligible to very average readers. Is there any way to calculate a psuedo analoque to the R^2 in standard linear regression for use as a purely descriptive statistic of goodness of fit? Most of the readers of my report will be vaguely familiar and more comfortable with