similar to: question about the dataset fgl

Dear members, I am wondering if there are any functions to perform the Kernel Fisher Discriminant method, especially for multi-class problems, in R. I would appreciate any kind of information on this. Thanks for your time. Seungho Huh, Ph.D. Research Statistician RTI International North Carolina, USA [[alternative HTML version deleted]]

Dear sir or ma'am, I have difficulty in installing packages. When I click "Install package(s)..." in the Packages menu, it takes forever and it finally shows the following message: --- Please select a CRAN mirror for use in this session --- Warning: unable to access index for repository http://www.ibiblio.org/pub/languages/R/CRAN/bin/windows/contrib/2.2 Warning: unable to access

Using the data set fgl in MASS the following code layout(matrix(1:9,3,3)) for(i in 1:9){ boxplot(fgl[,i] ~ type, data = fgl,main=dimnames(fgl)[[2]][i])} produces a 3 by 3 array of plots, each one of which consists of six boxplots. Is it possible to do this in lattice? Steve "R version 2.7.2 (2008-08-25)" on Ubuntu 6.06

Dear R users, I want to do discriminant analysis on my data. I have successfully followed the discriminant analysis in V & R on the iris data: > ir <- rbind (iris3[,,1],iris3[,,2],iris3[,,3]) > ir.species <- c(rep("s",50),rep("c",50),rep("v",50)) > a <- lda(log(ir),ir.species) > a$svd^2/sum(a$svd^2) [1] 0.996498601 0.003501399 > a.x <-

Ooops...I meant "formulations shouldn't be difficult" -------- Original Message -------- Subject: Re: [R] Kernel Fisher Discriminant in R? Date: Wed, 01 Dec 2004 08:05:38 +0200 From: Gorden Jemwa <jemwa at sun.ac.za> To: huh at rti.org CC: r-help at stat.math.ethz.ch You could us the kernlab package as a building block. Implementation of Kernel Fisher Discriminant Analysis

You need to do some extra work if you want to do classification with a regression method. One simple way to do classification with PLS is to code the classes as 0s and 1s (assuming there are only two classes) or -1s and 1s, fit the model, then threshold the prediction; e.g., those with predicted values < 0.5 (in the 0/1 coding) get labeled as 0s. There's a predict() method for mvr

Dear members, My name is Seungho Huh. I am a statistician who tries to use the Kernel PLS method in a classification problem. I am sending this email to ask you something about the "kernelpls" function in R (pls.pcr package). I would like to obtain the predicted Y values for test data, using the Kernel PLS method. Let's take the example in the R help: > data(NIR) >

Hello, I have a question about the lars package. I am using this package to get the coefficients at a specific LASSO parameter s. data(diabetes) attach(diabetes) object <- lars(x,y,type="lasso") cvres<-cv.lars(x,y,K=10,fraction = seq(from = 0, to = 1, length = 100)) fits <- predict.lars(object, type="coefficients", s=0.1, mode="fraction") Can I assign

hello sir/ma'am, trying to build a small prototype of resume filter but not able to get expected intercept values, could you please help regarding this project ASAP. to predict, skills + experience =result -- *With Regards,* *C Sai Sathvick*

Hi Sir/Ma'am can i request for configuration of CentOS nagios for moniotoring our servers and switches thank you, rolly aquino

Dear Sir/ Ma'am i would like to suscribe to the cenos newletter its update and patches release thanks regards b -- Bijesh Maskey 97719801095233

Hi all, Can anyone who is familar with CART tell me what I missed in my tree code? library (MASS) myfit <- tree (y ~ x1 + x2 + x3 + x4 ) # tree.screens () # useless plot(myfit); text (myfit, all= TRUE, cex=0.5, pretty=0) # tile.tree (myfit, fgl$type) # useless # close.screen (all= TRUE) # useless My current tree plot resulted from above code shows as:

> From: Peter Dalgaard BSA <p.dalgaard@biostat.ku.dk> > > Martin Maechler <maechler@stat.math.ethz.ch> writes: > > > Reading the long output of ``cc -flags'', > > I see that more than average optimization is done using > > cc -xO[1-4] > > # And -O is -xO2. If you do want higher speed, you need to use other flags too, and -fast is a

Dear Sir or Ma'am; I have found a wealth of help and information on writing an LLVM backend. And, my platform has no stack. Can you point me to any information that would specifically address creating a backend for this kind of platform? In previous wanderings, I thought I ran across a phrase "platforms with no stack such as FPGAs", but I can't find that mention, now.

I purely love that kind of crap. As if presentations meant anything, as if there aren't all kinds of scholarly work about theoretical perfect world algorithms and conceptual systems that will never be implemented and are as practical and effective as wings on a pig. Please. I'm reminded of the story about how, during the American Civil War, when the North had finally, after years of

Hi, I am trying to make a multi-class classification tree by using rpart. I used MASS package'd data: fgl to test and it works well. However, when I used my small-sampled data as below, the program seems to take forever. I am not sure if it is due to slowness or there is something wrong with my codes or data manipulation. Please be advised ! The data is described as the output from str()

Dear R-users, dear Prof. Ripley as package maintainer I tried to investigate the odd error, when I call nnet together with a 'weights' parameter, using the 'fgl' example in V&R p 348 The error I get is: Error in eval(expr, envir, enclos) : Object "w" not found I think it is a kind of scoping problem, but I really cannot see, what the problem exactly is. and

Good day Sir/Ma'am! This is Alyssa Fatmah S. Mastura taking up Master of Science in Statistics at Mindanao State University-Iligan Institute Technology (MSU-IIT), Philippines. I am currently working on my master's thesis titled "Comparing the Three Estimation Methods for the Four Parametric Logistic (4PL) Item Response Model". While I am looking for a package about Markov chain

I do not think anyone is going to be able to help you unless you can provide a reproducible example with a clear account of what it dies and what you expected it to do. On 08/06/2017 06:34, Sai Sathvick wrote: > hello sir/ma'am, > > trying to build a small prototype of resume filter > but not able to get expected intercept values, could you please help

Dear Ma'am/Sir, This is Joy Mae C. Gabion taking up Masters of Science in Statistics at Mindanao State University ? Iligan Institute of Technology (MSU-IIT), Philippines. I?m currently working on my master?s thesis and chose to base it on the paper of Sun et.al (2012) which discussed the exact fast computation of band depth for large functional datasets. There are codes in Mathlab available