similar to: Seeking pointers to various regression techniques with R?

Say a matrix of size of thousands? I am looking for an eigen-value decomposition algo in R to give good eigenvalues... Is that a hopeful thing? Thank you! [[alternative HTML version deleted]]

Happy holidays all! I know it's very subjective to determine whether some data is outlier or not... But are there reasonally good and realistic methods of identifying outliers in R? Thanks a lot! [[alternative HTML version deleted]]

Hi all, I have a list of vector of numbers - the reason I used list of vector was that I each list have different numbers of numbers which I don't know before run-time. mylist[[1]] = c(1, 2, 3) mylist[[2]] = c (3, 4, 5, 6) ... ... etc. Could you please tell me if there is a way to dump all these at once into csv file such that each row correspond to a vector or a cell of the list as shown

Hi all, Could you please give me some pointers about what's the best boosting package in R currently? in terms of classification accuracy? And any pointers about tutorials and study-materials to curb the learning curve will be greatly appreciated! Thank you! p.s. Does anybody happen to know Boosting implemented in other language such as Matlab? Are they good in terms of accuracy? What

Hi all, I am really new to the R language. I am a long time Matlab and C++ user and I was "forced" to learn R because I am taking a statistics class. I am seeking to reduce the learning curve to as smooth as possible. Are there any addon/plug-in features that can reduce the learning curve, for example, the following features can be very helpful for new learners: 1. Matlab-like

Hi all, I am trying hard to do the following and have already spent a few hours in vain: I wanted to do the scatter plot. But given the high dispersion on those dots, I would like to bin the x-axis and then for each bin of the x-axis, plot the quantiles of the y-values of the data points in each bin: 1. Uniform bin size on the x-axis; 2. Equal number of observations in each bin; How to do

Hi all, After trial and error by myself for a few hours, I decide to ask for your help. I have a training set which is a matrix of size 200 x 2, where the two columns denote each independent variable. I have 200 observations. ----------------- ss=data.frame(trainingSet); result=lm(trainingClass~ss$X1+ss$X2); ----------------- where trainingClass denotes the true classes of the training data.

Hi all, As you can see from below, the result is strange... I would imagined that the bb result should be much higher and close to 1, any way to improve the fit? Any other classification methods? Thank you! data=data.frame(y=rep(c(0, 1), times=100), x=1:200) aa=glm(y~x, data=data, family=binomial(link="logit")) newdata=data.frame(x=6, y=100) bb=predict(aa, newdata=newdata,

Dear all, I have created a new S4 class with name "MyClass". Please see below for it's definition. Now I want to create a method for the show() function for this class. In defining this method, what I want is, once user would like see an object of this class some values will be displayed. Then R will ask for **press Enter**. Once user presses enter then, remaining values will be

Happy New Year all! I am looking for a good solution for keeping record of my experiments - could you please help me? My work is about analysing data... My current work-flow: 1. Everyday my bosses give me some small steps/tasks for analysing data - which are parts of one bigger/whole project. 2. Everyday I send tens of emails to bosses/colleagues to report my findings in each step. 3.

I have got another question on defining a method for print() function for my s4 class. Here is my class definition as well as what I have done till now: > setClass("Me", representation(x1 = "numeric", x2 = "numeric", y1 = "character")) [1] "Me" > setMethod("print", "Me", definition=function(x) { + cat("Values

Dear all, I am a new user of R and currently trying hard to develop my own package. Here I am following this tutorial 'http://www.mathfinance.cn/how-to-create-an-R-package-in-windows/' Here it says that (step 8): "open a ?command prompt? window, change the directory to where your package is, type the command ?R CMD build MonteCarloPi? to build the package, this will generate a file

Hi all, I found that the PCA gave chaotic results when there are big changes in a few data points. Are there "improved" versions of PCA in R that can help with this problem? Please give me some pointers... Thank you! [[alternative HTML version deleted]]

Sender: r-help-bounces at r-project.org On-Behalf-Of: comtech.usa at gmail.com Subject: Re: [R] [R-SIG-Finance] forecasting earnings, sales and gross margin of a company... Message-Id: <b1f16d9d0810231239k506d582i7ecb908b84bc1642 at mail.gmail.com> Recipient: ngottlieb at marinercapital.com -------------------------------------------------------- This information is being sent at the

Hi all, I am trying to play around with the randomForest function for classification. I know its performance is great. I am currently using the default options. It has many options. How do I further tweak the options so that I can make its performance even better? What are the options that are mostly used? Thanks a lot! M [[alternative HTML version deleted]]

Noob alert.... I've been through most of the available documentation at a fairly high level - if I've missed the obvious, just point me in the right direction. What I'd like to build: Windows XP system (actually, I'd prever a *nix but must use Win). Backend data stored in MySQL db Front end user interface built using PHP/HTML running on Apache. User builds a select via the web

Our company, Signate, is going to be offering a three day introductory Asterisk training course, the first of a series. The first class will be in San Francisco the week of June 28. It will be a beta test to get the kinks out and we will not charge for the class or the materials. Anyone who attends is responsible for their own travel and lodging, if necessary. I doubt anyone reading the lsit

Hi all, I apologize for this off-topic question but I need your help -- I know there are lots of experts here. As a lover and student of statistics, I am thinking of building a tree of various branches of statistics and keeping track of the greatest historical inventions/discoveries in statistics and the latest development of each branch. The goal is to understand in what context did the great

Hi al, I am looking for a R command to test the difference of two linear regressoon betas. Lets say I have data x1, x2...x(n＋1). beta1 is obtained from regressing x1 to xn onto 1 to n. beta2 is obtained from regressing x2 to x(n＋1) onto 1 to n. Is there a way in R to test whether beta1 and beta2 are statistically different? Thanks a lot! [[alternative HTML version deleted]]

We have a large MySQL database currently running on a CentOS 3.x server with an external SCSI RAID device. This is currently an ext2 filesystem because it was migrated once previously from an even older RedHat system. We need to add storage capacity to this database and prepare for additional future growth. One of the options under consideration is to move to CentOS 5 and use LVM. Of some