search for: regresssions

Dear R members, I have been trying to find out whether one can use multivariate regression trees (for example mvpart) to analyze repeated measures data. As a non-parametric technique, CART is insensitive to most of the assumptions of parametric regression, but repeated measures data raises the issue of the independence of several data points measured on the same subject, or from the same plot

Hello, I'm EDWIN, I create (make) GUI, with call many function but I don't know why when I call function I can't. if without function, Yes I can.. can you help me ? can you make this, become true with full code? Can you help me to create data.entry with interface LM - BETA1.HAT - BETA2.HAT SD.BETA1.HAT HAT SD.BETA2.HAT RLM - BETA1.HAT - BETA2.HAT SD.BETA1.HAT HAT SD.BETA2.HAT 2 10

Is there a way to get confidence intervals around an ordered regression like polr() in the MASS package? ------------------------------------------- Joe King, M.A. Ph.D. Student University of Washington - Seattle 206-913-2912 <mailto:jp@joepking.com> jp@joepking.com ------------------------------------------- Ad astra per aspera - "Through hardships to the stars"

I am trying to find out if someone has implemented a (McFadden-type) multivariate binary logistic regresssion package for R? From what I can tell, this is not available for R. Thank you, Lynne Baker [[alternative HTML version deleted]]

I've been using R to do logistic regresssion, and that's working well, but there are two things I haven't figured out how to do. (1) Is there some pre-existing function that will let you compute the odds ratios and confidence intervals for them for a specific fit. I know how to do this manually or even write a function that I can call with the coefficients and se, but

A couple of questions: How to be sure that gls allowes errors to be correlated and/or have unequal variances? (is this on auto or is there a switch?) How to calculate confidence limits for a linear regresssion? -------------- next part -------------- A non-text attachment was scrubbed... Name: dthompson.vcf Type: text/x-vcard Size: 303 bytes Desc: Card for David Thompson Url :

Hi, I'm a new user of R and I'm trying to make a linear model from this kind of dataset x [1] 16.87 19.93 25.85 20.94 17.06 19.49 19.93 25.45 27.74 20.15 25.81 21.06 17.17 20.03 25.50 27.79 20.44 16.88 19.93 25.79 z<-x-10 y [1] 0.80 1.27 2.22 1.32 0.90 1.18 1.84 2.41 2.97 1.25 2.07 1.41 1.14 1.66 2.59 3.51 1.53 0.81 1.26 2.30 plot(x,y) I want to be able to force the line of

Dear all: Does anyone has harmonic regresssion analysis package written in R (to be used in Windows platform) ? Thanks _______________________________________ YM - Â÷½u°T®§ ´Nºâ§A¨S¦³¤Wºô¡A§AªºªB¤Í¤´¥i¥H¯d¤U°T®§µ¹§A¡A·í§A¤Wºô®É´N¯à¥ß§Y¬Ý¨ì¡A¥ô¦ó»¡¸Ü³£ÉN¨«¥¢¡C http://messenger.yahoo.com.hk [[alternative HTML version deleted]]

Hi All, I am working on some ordinal logistic regresssions using LRM in the Design package. My response variable has three categories (1,2,3) and after using the creating my model and using a call to predict some values and I wanted to use a simple .5 cut-off to classify my probabilities into the categories. I had two questions: a) first, I am havi...

When you have fairly large data, _do not use the formula interface_, as a couple of copies of the data would be made. Try simply: Myforest.rf <- randomForest(Mydata[, -46], Mydata[,46], ntrees=100, mtry=7) [Note that you don't need to set proximity (not proximities) or importance to FALSE, as that's the default already.] You might also want to use

Hi All , Can anybody tell me if there's any way to get the summarized anova values.Now i will explain what i mean , when i say "*summarized*". Below you can see the anova table of recmeanC1 with rest* all* i.e from recmeanC2 to i15(predictors),as shown in table. Df Sum Squares Mean Square F value Significance [Pr(>F)] recmeanC2 1 89.272 89.272

Alternatively, if you can arrive at a sensible ordering of the levels you can declare them ordered factors and make the computation feasible once again. Bill Venables. -----Original Message----- From: r-help-bounces at stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Torsten Hothorn Sent: Monday, 5 April 2004 4:27 PM To: David L. Van Brunt, Ph.D. Cc: R-Help Subject:

Folks, Two simple questions : (1) I have a data set (call it data.xls) in a folder in my hard drive. How do I perform a simple regression between two variables from that data set? After I click on 'R', what exactly do I type in? (2) Where do I get to see the complete library of packages offered by R? In particular, I am interested in quantile regression and logistic regression.

Dear R-help, I have a four-part question about regression, matrices, and sandwich package. 1) In the sandwich package, I would like to better understand the meat() function. >From the bread() documentation, for a simple OLS regression, bread() returns (1/n * X'X)^(-1) That is, for a simple regression (per the documentation on bread()): MyLM <- lm(y ~ x) bread(MyLM)

At 12:01 03/04/04 +0200, you wrote: >Content-Transfer-Encoding: 8bit >From: solares at unsl.edu.ar >Precedence: list >MIME-Version: 1.0 >Cc: >To: R-help at stat.math.ethz.ch >Date: Fri, 2 Apr 2004 12:47:48 -0300 (ART) >Message-ID: <50155.209.13.250.66.1080920868.squirrel at inter17.unsl.edu.ar> >Content-Type: text/plain;charset=iso-8859-1 >Subject: [R] convert

I would like to use R to perform a logistic regression with about 30,000 independent variables. That's right, thirty thousand. Most will be irrelevant: the intent is to use the regression to identify the few that actually matter. Among other things, this calls for giving glm() a colossal "y ~ ..." formula with thirty thousand summed terms on its right hand side. I build up the

Hi: This is a new version of trying to enable tx interrupts for virtio-net. We used to try to avoid tx interrupts and orphan packets before transmission for virtio-net. This breaks socket accounting and can lead serveral other side effects e.g: - Several other functions which depends on socket accounting can not work correctly (e.g TCP Small Queue) - No tx completion which make BQL or packet

Hi: This is a new version of trying to enable tx interrupts for virtio-net. We used to try to avoid tx interrupts and orphan packets before transmission for virtio-net. This breaks socket accounting and can lead serveral other side effects e.g: - Several other functions which depends on socket accounting can not work correctly (e.g TCP Small Queue) - No tx completion which make BQL or packet