similar to: multivariate regression

The test is manova. I tried to use manova() function, I used the code below:fit <- manova(Y ~ X)summary(fit, test="Wilks")but I get p values for intercept and regression coefficient as in anova() function, not for the hull model. Date: Mon, 7 Feb 2011 00:57:43 -0800 Subject: Re: [R] FW: multivariate regression From: djmuser@gmail.com To: denizsigirli@hotmail.com CC:

Hi I have looked at google about this error as well as in ruby on rails forums, but I can not specifically locate the exact problem and the solution for it. Basically, I successfully installed ruby 1.8.4 on HP-UX 11.11 with rails gem. But unfortunately whenever I try to create a test application by using "rails testapp", I am getting the follwing errror: $ rails testapp

Deniz wrote: > Hi Everybody, > I am a newbie in this list so please forgive me if this is a lengthy > message. > Currently I am working on a project at my work place that includes > viewing some oracle tables(I do not have control over to rewrite the > tables) and searching the tables based on a given criteria with Rails. > Up untill now everything was working great. The

Hi Everybody, I am a newbie in this list so please forgive me if this is a lengthy message. Currently I am working on a project at my work place that includes viewing some oracle tables(I do not have control over to rewrite the tables) and searching the tables based on a given criteria with Rails. Up untill now everything was working great. The database consists of a lot of tables but I was

Hi all, I am trying to test DirectShow PushSource example from the SDK with Theora encoder and Ogg muxer (DirectShow filters of course) by using GraphEdit tool. My goal is capturing the screen as video by taking snaphot bitmaps continuosly (what PushSource eaxmple does) and giving them to the Theora encoder through the DS pipeline (next goal is transmitting this video **). My DirectShow graph is

Hi Everyone, I am sure this question has been asked many time before but I really could not get a good solution. The problem I am having is that the application I wrote is acting very slow. For example for the production database, the query I make takes about 3-4 minutes. The application connects to 2 oracle databases(on a remote location) and gets information based on a given search criteria.It

I've just gotten off a skype conference call and it pisses me off that the quality of skype is higher than my asterisk calls. Is there such a thing as a super high bandwidth codec? In a situation that you have the bandwidth to share is there something that I can use for important calls when the situation warrants it? TIA, Dean -------------- next part -------------- An

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Many thanks for the help. > Date: Tue, 4 Nov 2003 23:57:24 +0100 > From: "rruegner" <robowarp@gmx.de> > Subject: Re: [Samba] unable to open passdb database. > To: "Ben Kim" <bkim@edsun.coe.tamu.edu>, <samba@lists.samba.org> > the log says that the passwd file was

I am using Wine 1.2 which I compiled on Debian testing/wheezy. It works with fglrx but not with the radeon driver. I am using the AMD/ATI HD4850 video card. The following terminal output shows the wine error and that the radeon driver has OpenGL 2.1 support which to my understanding is at least the equivalent of Direct3D 9 (which is all I need). Also, there is a wine popup for every attempt to run

SPAM: -------------------- Start SpamAssassin results ---------------------- SPAM: This mail is probably spam. The original message has been altered SPAM: so you can recognise or block similar unwanted mail in future. SPAM: See http://spamassassin.org/tag/ for more details. SPAM: SPAM: Content analysis details: (5.9 hits, 5 required) SPAM: Hit! (0.6 points) From: does not include a real name

Dear R-Help, I am Deniz. I am currently trying to replicate a semiparametric sample selection paper and I am working on Klein and Spady estimator. I am using the npindex() and npindexbw() functions. The problem is, I need results for single bandwidth and when I set bandwidth computation to "FALSE" mode, R is not optimizing anything. Here is the code I am using:

The Letor project involves descent amount of Machine Learning while all the ranking related projects are around IR. Its better to introduce your idea on mailing list where all the mentors can have a detailed look at it, potential mentors can respond and the idea is kind of registered under your name. Cheers, Parth. On Wed, Feb 26, 2014 at 10:20 AM, Olly Betts <olly at survex.com> wrote:

So I have a function that does lapply's for me based on dimension. Currently only works for length(pivotColumns)=2 because I haven't fixed the rbinds. I have two versions. One runs WAYYY faster than the other. And I'm not sure why. Fast Version: fedb.ddplyWrapper2Fast <- function(data, pivotColumns, listNameFunctions, ...){ lapplyFunctionRecurse <- function(cdata, level=1,

Hi, there: Is there any quick function to generate bivariate or multivariate gamma distribution? Thanks. Yulei

Dear R Helpers, I have searched for any R package or code for simulating multivariate fractional Brownian motion (mFBM) or multivariate fractional Gaussian noise (mFGN) when a covariance matrix are given. Unfortunately, I could not find such a package or code. Can you suggest any solution for multivariate FBM and FGN simulation? Thank you for your help. Best Regards, Ryan ----- Wonsang You

Dear R users, I am happy to announce the initial release of the "mvProbit" package on CRAN (version 0.1-0). This package provides tools for econometric analysis with Multivariate Probit Models. While these models can be estimated also by several other statistical software packages (e.g. LIMDEP/NLOGIT, STATA), "mvProbit" is much more flexible and powerful in calculating

Dear R users, I am happy to announce the initial release of the "mvProbit" package on CRAN (version 0.1-0). This package provides tools for econometric analysis with Multivariate Probit Models. While these models can be estimated also by several other statistical software packages (e.g. LIMDEP/NLOGIT, STATA), "mvProbit" is much more flexible and powerful in calculating

Hello, all. I'm investigating the rate at which skeletal joint surfaces pass through a series of ordered stages (changes in morphology). Current statistical methods in this type of research use various logit or probit regression techniques (e.g., proportional odds logit/probit, forward/backward continuation ratio, or restricted/unrestricted cumulative probit). Data typically include the

Hello, I would like to use a permanova to analyze my repeated measures, multivariate data set using the package vegan (adonis function). I have several explanatory variables and many clinical biochemistry/hematological response variables (all continuous, non-normally distributed). My explanatory variables are: ID - 29 levels - individual subjects Treatment - 2 levels Sex - 2 levels Time -