similar to: mda and kmeans

Hi, I''m currently thinking of writing my bachelorthesis about the use of model driven architecture within webdevelopment. I''m now trying to figure out about the benefits of using MDA to generate Rails Code. So, which Components of an Web-/Rails App would you like to be generated via MDA? In which way do you think the generators shipped with Rails can be improved? -- Posted via

Greetings everyone, I was wondering if anyone had experience in using fda (flexible discriminant analysis) in the mda package. Specifically, I can run the model but I cant locate/produce much of anything beyond the predicted values and confusion matrix. I've been searching for more examples or documentation but cant seem to locate any specific to the program itself. I need to be able to find

Hi all, Has anyone tried to do k-fold cross validation for flexible discriminant analysis ( mda library), for example, using crossval() in bootstrap? The problem is that the function crossval() requires a separate matrix for predictors and another for responses, whereas the function fda(), using the formula argument only. Is there another way of doing k-fold cross validation for functions which

** High Priority ** I am a french student working on discriminant analysis issues. I am a new user of R language and have a few questions about its use : + About the mda package how can I plot the decision boundaries in the space of predictors from the results of the fda function ? + Does R include 3-D plots ? + How can I use bootstrap and cross-validation in classification ? I

I have recently noticed that some of our internal mailer scripts are causing Dovecot-LDA to generate Mailer Delivery Subsystem messages. The following Dovecot-LDA message is generated: ---- Message body ---- Your message was automatically rejected by Dovecot Mail Delivery Agent. The following reason was given: Unknown error ---- Message body ---- ---- Message header ---- Return-Path:

NEW: CRAN/src/contrib/devel/mda_0.1-1.tar.gz I have made a first shot at porting the Hastie & Tibshirani mda package t= o R ... this is almost not tested at all ... but it works for the iris data and what else could a statistician be possibly interested in anyway = :-) All BRUTO stuff is missing because there are some unresolved symbols: R.binary: can't resolve symbol

Hello all, So I'm doing some data analysis using MARS. I have a matrix of 65 independent variables, from which I'm trying to predict 71 dependent variables. I have 900+ data points (so a 900x136 matrix of data), which I randomly split into training and validation sets, for ~450 data points in each set. Occasionally, this works well, and I get decent predictions. However, quite often

Hi all, I'm at the stage of planning our new mail system and am evaluating dovecot for it. For large mailstore setups, it makes sense to split maildirs across many directories. I see that setting default_mail_env to something like maildir:/var/imap/domain/%1d/%d/%1u/user/%u/ would create almost identical on-disk layout as multidomain cyrus setup. Now, as dovecot does not have its own

For a private package ("soon" to be on CRAN), I started looking at and thinking about the function confusion() from the mda package and wondered if it wouldn't make sense to provide the generic function in base R and also think about making the default for the `true' argument equal to fitted(object). One could write methods for confusion() for almost all classifiers which

Hi, I am using function mars() in package mda to find knots in a whole bunch of predictor variables. I hope to be able to replicate all or some of the basis functions that the MARS software from Salford Systems creates. When I ran mars() on a small dataset, I was able to get the knots. However, when I tried running mars() on a larger dataset (145 predictor variables), for a different

Hello. First, I want to thank those responsible for Dovecot IMAP as it was a real treat to implement in comparison to my mostly-failed attempts with Cyrus. The passwd-file authentication was exactly what I needed as I really didn't want to have to deal with PAM or LDAP but where I am setting up a server with virtual accounts. I'm using Postfix as an MTA, and it quite handily passes

Hello...I'll TRY make this short. This post is not specific to Dovecot...but many subscribers to this list have probably been down this road. (private replies welcome if you want it to go off list) I currently use Sendmail with MailScanner, SpamAssassin, ClamAV, Procmail, and qpopper for POP3 (hash mail dirs for mbox files)on RedHat 9 server. Roaming users currently only have the option of

Dear helpers, I am trying to use the mda package downloaded from the R website, but the data set has missing values so I got an error message. Should I manually handle these missing values? I was trying to read the documents to specify any option related to missing values, but I did not find it. Please forgive me if I ignore something obvious. Thanks, Zhu Wang Statistical Science Department

Hi, I have some trouble to use dovecot as MDA. I followed the instructions in http://wiki.dovecot.org/LDA and http://wiki.dovecot.org/LDA/Postfix I have multiple virtual users, stored in a LDAP server, and it look like postfix is still delivering the mails directly to the maildirs. Dovecot version : 1.2.15 (using the 1:1.2.15-4 squeeze packets) postfix version : 2.7.1 (using the 2.7.1-1

Hi, I have run mars() with the default degree=1, and have constructed splines which are similar to what I would get from Salford System's MARS. I then use these splines as potential predictors, along with rpart( ) terminal nodes and other potential predictors, in logistic regression in SAS. The output of mars() and the splines I created are shown below (pardon the lengthy output): >