similar to: Fitting mixed effects Baseline category logit models

Hi, I am trying to do a Principal component analysis on histogram data. Basically, I have a group of subjects and for each of them, I have a column of bin-counts (vis-a-vis intervals) and a corresponding column of frequencies (or normalized frequencies). The bin counts are the same for all the subjects. I also have a group-averaged histogram (with the same bin counts and a column of frequencies)

Hello everyone, I am stuck with an apparently simple issue : i) I have two sets S1 and S2, each containing a large number of integers, say zip codes. ii) Now, I just want to test whether a particular zip code belong to S1 or S2 or neither of them. iii) If it belongs to S1, the area/region gets a particular label, say 1; if it belongs to S2, it gets a label 2 and if it doesnot belong to either S1

Hi, I was wondering whether there is any Fortran function or associated library for evaluating the quantiles of a set of values (something which the R-function quantile() does). Any help will be much appreciated. Thanks and regards, Dhiman Bhadra [[alternative HTML version deleted]]

Hello everyone, I need to fit a bivariate normal regression model to a dataset where the same covariate (say, X) influences two separate but correlated responses (say, Y1 and Y2). So, the bivariate model would look like : Y1 = a1 + b1*X + e1 Y2 = a2 + b2*X + e2 where e1 and e2 are error terms which can be correlated. Is there any package in R which can help me fit this model ? Any help will be

Hi Gert, Thanks for your reply. But we can't upgrade to 7.2 version also we don't have plan to upgrade in near future. Can I fix these vulnerabilities in the current version? Regards Abhishek On Tue, Mar 8, 2016 at 6:42 PM, Gert Doering <gert at greenie.muc.de> wrote: > Hi, > > On Tue, Mar 08, 2016 at 06:14:01PM +0530, abhi dhiman wrote: > > Actually I am working

Hi friends ! I want to add stun functionality in asterisk. can anybody give me some hint that how can i start that. thanks in advance Deepak Dhiman

thanks very much for the reply. however my question was not about some quick shortcuts. i wanted to know how come i can access the internet connection(on the linux client) through a telephone modem (on the windows machine)but not tv transmission through the (tv tuner) video card (on the windows machine). both of them are hardware sitting on the same motherboard !! i will also appreciate if some

Dear all, I am facing some problem with how to fit a "Baseline category Logit model" with R. Basically I am considering famous "Alligator" data as discussed by Agresti. This data can also be found here: https://onlinecourses.science.psu.edu/stat504/node/174 (there is also an accompanying R file, however the underlying R code could not load the data properly!!!) Below are

Hi All, Actually I am working with the OpenSSH version 6.2p which is vulnerable to above mentioned vulnerabilities. So am looking for some help how I can fix these vulnerabilities in my version. I need to fix it in the OpenSSH code. Regards Abhishek

I have a data in the following form : CIN TRN_TYP 9079954 1 9079954 2 9079954 3 9079954 4 9079954 5 9079954 4 9079954 5 9079954 6 9079954 7 9079954 8 9079954 9 9079954 9 . . . . . . there are 100 types of CIN (9079954,12441087,15246633,...) and respective TRN_TYP first of all, I want this data to be

I have tried to run R from within QGIS, But it show error "Missing dependency.This algorithm cannot be run :-( This algorithm requires R to be run.Unfortunately, it seems that R is not installedin your system, or it is not correctly configured to be used from QGIS Click here to know more about how to install and configure R to be used with QGIS" [[alternative HTML version deleted]]

Hi All, Actually I am working with the OpenSSH version 6.2p which is vulnerable to above mentioned vulnerabilities (CVE-2016-6210). So am looking for some help how I can fix these vulnerabilities in my version. I need to fix it in the OpenSSH code. Regards Abhishek

Hi, CentOS 7 KickStart Configurator's Package Selection window always displaying message "package selection is disabled due to problems downloading package information". How can I resolve this issue ? Regards, -- Sameer Dhiman

Hi group, I found a module for adaptive kernel density estimation for Stata users, but unfortunetly I don't have access to Stata, can I find a similar approach using R? Thank u so much 4 ur time. [[alternative HTML version deleted]]

The Asterisk Development Team would like to announce the release of Asterisk 13.25.0. This release is available for immediate download at http://downloads.asterisk.org/pub/telephony/asterisk The release of Asterisk 13.25.0 resolves several issues reported by the community and would have not been possible without your participation. Thank you! The following issues are resolved in this release:

Greetings all, please consider the following data: #Build Data frame Slope<-c(1.291370, 12.208500, 2.110930, 0.578990, 5.019520, 0.807444, 0.554079 , 1.257080, 0.241504 , 0.184337 , 0.383044 , 0.342021) Exposure<-c(790.54, 1167.79 , 845.58 , 1082.47 , 1189.61 , 677.17 , 2058.56 , 469.09 , 112.02 , 803.31 , 254.14 ,1336.16) FwyDist<-c(11809.4222 ,10623.0458, 12279.6271,

Hi All, I am attempting to build a Multinomial Logit model with dummy variables of the following form: Dependent Variable : 0-8 Discrete Choices Dummy Variable 1: 965 dummy varsghpow at student.monash.edu.augh@gp1.com Dummy Variable 2: 805 dummy vars The data set I am using has the dummy columns pre-created, so it's a table of 72,381 rows and 1770 columns. The first 965 columns represent

The Asterisk Development Team would like to announce the release of Asterisk 16.2.0. This release is available for immediate download at http://downloads.asterisk.org/pub/telephony/asterisk The release of Asterisk 16.2.0 resolves several issues reported by the community and would have not been possible without your participation. Thank you! The following issues are resolved in this release:

Dear R users, I would like to perform Latent Class Logit Models for the analysis of choice experiments in environmental valuation. This kind of analysis is usually performed with NLogit Software (http://www.limdep.com). I attach the results I usually obtain using NLogit and NLogit model specifications. For Random parameter models and Logit Models I usually perform my analysis with the package

Hi all, I have a dataset with a response variable with three categories (1, 2, 3) and a lot of continuous variables. I'd like to make a MLR with these variables. I've been watching the libraries nnet and zelig for this purpose but I don't understand them well. I use a training sample data to make the MLR. train.set <- sample(1:1000,1000*0.7) I have done this: library(nnet) net