similar to: Rounding multinomial proportions

Dear all, Does someone know an R function implementing the method of Sison and Glaz (1995) (see full ref below) for computing Simultaneous confidence intervals for multinomial proportions? As alternative method, I think to boostrap the mean of each proportion and get in that way confidence interval of the mean. I observed 21 times a response that could be one out of 8 categories

Dear Dushanthi, Please keep your e-mails on the R-Help list, where Michael has already given you some excellent advice. As Michael already explained, metafor can handle proportions, but does not have any specific functionality for categorical variables with more than 2 levels (at the moment). So, if it is logical and possible to do so, you could collapse the levels of the categorical outcome to 2

On January 2, 2017 at 5:58 PM Michal Soltys <soltys at ziu.info> wrote: >> >> >> Hi, >> >> Are configurations (with separate formats per namespace) - such as ... >> >> namespace { >> type = shared >> list = children >> inbox = no >> separator = / >> subscriptions = no >> prefix = shared1/%%n/

Hi R-users! I have the following example: a<-data.frame(cat=c(5,10,15), dog=c(5,10, 15), mouse=c(10,10,20)) b<-data.frame(cat=c(15,10,5), dog=c(15, 10, 5), mouse=c(20,10,10)) rownames(b)<-c("scared", "happy", "sad") rownames(a)<-c("scared", "happy", "sad") Let's say that a and b are 2 contingency tables and 5,10, 15, 20

Dear all, 1)how can I easily get p value for the coefficients of factors in a multinomial model? 2)why the p values for "type III" test with Anova are not identical to that from SAS? for example: A,B and C are categorical variables,but the proportions of each level in each categorical variables are not balance. Y is a nominal variables(>=3 categories); To do

On Wed, 4 May 2016, Nux! wrote: > Direct links > > https://www.imagemagick.org/discourse-server/viewtopic.php?f=4&t=29588#p132726 > https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2016-3714 > > Mitigation: > > As a workaround the /etc/ImageMagick/policy.xml file can be edited to disable > processing of MVG, HTTPS, EPHEMERAL and MSL commands within image files,

This patch enables handling of the modem/flow control lines of a serial port when the backend for the virtual port is a physical serial port. During initialization, it tries to load the msr with the detected status from the real port (this is consistent with physical uart, which starts with its msr values set according to the status of the modem status lines). If the ioctl returns -ENOTSUP, then

On 05/04/2016 08:15 AM, John Hodrien wrote: > On Wed, 4 May 2016, Nux! wrote: > >> Direct links >> >> https://www.imagemagick.org/discourse-server/viewtopic.php?f=4&t=29588#p132726 >> >> https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2016-3714 >> >> Mitigation: >> >> As a workaround the /etc/ImageMagick/policy.xml file can be edited

R Experts: I am conducting a meta-analysis where the effect measures to be pooled are simple proportions. For example, consider this data from Fleiss/Levin/Paik's Statistical methods for rates and proportions (2003, p189) on smokers: Study N Event P(Event) 1 86 83 0.965 2 93 90 0.968 3 136 129 0.949 4 82 70 0.854 Total

Thanks for helping me out with the thing of quotation marks. I finally could save time running programs at the university and home. One additional question for all of you. I'm starting to be familiar with multinomial regression models. Actually I'm doing some exercise with the pneumo data that appears in Faraway library. The database has 24 observations and I want to study the probability

Hi R users! Is there a function that extracts the simultaneous confidence intervals for multinomial proportions as described by Sison and Glaz 1995? or anyone else for that matter? I have seen that SAS has macro for this ( http://www.jstatsoft.org/v05/i06) and i was wondering if R had something similar? Thank you and have a great day ahead! ---------------------------------

I need to estimate a model that predicts the proportional split of travel among the vehicles of a household based on vehicle characteristics such as age, fuel economy, and travel cost per mile. The model estimation dataset has a record for each household vehicle with information about the vehicle, the household, and the proportion of the total household vehicle travel using that vehicle. I have

On Mon, 24 May 2004 12:00:46 +0200 v.demartino2@virgilio.it wrote: > Working - among other things- in the field of (short & long term) electricity > forecast, * * * > we have to comply with the Tramo-seats closed-source procedure (http://www.bde.es/informes/be/docs/dt0014e.pdf) > to deal with seasonality of electricity monthly time-series, in line with > the methodology

Dear R-Help, I'm hoping to find a Multinomial Nested Logit package in R. It would be great to find something analogous to "PROC MDC" in SAS: > The MDC (Multinomial Discrete Choice) procedure analyzes models > where the > choice set consists of multiple alternatives. This procedure > supports conditional logit, > mixed logit, heteroscedastic extreme value,

Direct links https://www.imagemagick.org/discourse-server/viewtopic.php?f=4&t=29588#p132726 https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2016-3714 Mitigation: As a workaround the /etc/ImageMagick/policy.xml file can be edited to disable processing of MVG, HTTPS, EPHEMERAL and MSL commands within image files, simply add the following lines: <policy domain="coder"

Thanks for your answers Stephen and Ben, I hope I am posting on the correct list now. I managed so far to run the multinomial model with random effect with the following command: MCMCglmm(fixed=cbind(Apsy,Mygl,Crle,Crru,Miag,empty) ~ habitat:trait,random=~idh(trait):mesh,family="multinomial12", data=dataA,rcov=~trait:units) (where multiple responses are different species, Habitat

I've used the HDF5 library to bring some data into R. THe verbose output looks like this: > hdf5load("hdfGraphWed_Mar_16_13_33_37_2005.hdf",load=T,verbosity=1,tidy=T) Processing object: cprSeats ...... which is a Group Processing object: Seats 0 ...... its a dataset......Finished dataset Processing object: Seats 1 ...... its a dataset......Finished dataset Processing object:

Working - among other things- in the field of (short & long term) electricity forecast, we are now using too many & too expensive pieces of licensed software: SAS, SPSS, EViews. This "sedimentation" is due to the fact that my predecessors in the past used different consultant companies to manage each procedure. Having attended the useR2004! Conference with the aim of assessing

The TITLE for the nnet package is garbled: it comes out as nnet Feed-forward neural networks and multinomial log-linear nnet Feed-forward neural networks and multinomial log-linear models The problem is in maketitle: auk% cat DESCRIPTION Bundle: VR Version: 6.1-9 Date: 2000/07/11 Depends: R (>= 1.1) Author: S original by Venables & Ripley. R port by Brian Ripley

Hello! I want to calculate simultaneous confidence intervals for a nominal variable with three categories: "yes", "no", "partially" and I expect that far more than 5 samples fall into each category. I have read that Glaz & Sison's method is only appropriate for variables with 7 or more categories. Therefore, the Goodman method seems like a good idea. I have