similar to: log-linear analysis - calculate treatment effects

Hi, I've currently to work with some circular data. Unfortunately I'm not very familiar with circular statistics and would really appreciate if I could get some help concerning the CircStats package this way. My data lies in the range 0 to 2*pi, and is transformed to radians (as expected by the CircStats methods). Calculating the mean direction (circ.mean) results for some datasets in a

Could a drm guru please have a look at kern/133554? Thanks, -cpghost. -- Cordula's Web. http://www.cordula.ws/

hello, yet another powerd SOS : on an ASUS M3A78-EM MB with Phenom 9750 and 8 gig memory, starting powerd freezes the box after slowing down a bit cpu frequency. [IMHO] usefull bit of info : FreeBSD m34.scito.local 7.1-PRERELEASE FreeBSD 7.1-PRERELEASE #0: Thu Dec 11 14:24:39 CET 2008 root@m34.scito.local:/usr/obj/raid1/bsd/src7/sys/M3A78-EM amd64 CPU: AMD Phenom(tm) 9750 Quad-Core

> > Message: 6 > Date: Mon, 30 Sep 2013 20:23:16 +0200 > From: David Demelier <demelier.david at gmail.com> > To: freebsd-stable at freebsd.org > Subject: Re: 9.2-PRE: switch off that stupid "Nakatomi Socrates" > Message-ID: <5249C194.8030504 at gmail.com> > Content-Type: text/plain; charset=ISO-8859-1 > > On 30.09.2013 15:50, Matthieu Volat

Hello, I'd like to switch off this silly "Nakatomi Socrates" message which reminds me on Linux and their childish naming schemes. It is only cosmetics, but it bothers me whenever I switch on the laptop. I guess there is a switch already prsent to have in the bootloader config? Thanks, oh -------------- next part -------------- A non-text attachment was scrubbed... Name:

Hi, can you help? I am really struggling to find the answer to the following question. I have conducted a standard multiple regression using SPSS. The dependent variable is CE, and the independent variables are Ibelieve and Tbelieve. Because the independent variables are highly correlated I have examined the squared semi-partial correlations. I understand that the Ibelieve squared semi partial

Hi, After searching the archives and Google and not turning up anything, I thought I'd ask here. Has anyone done an R package for calculating Gwet's AC1 statistic and variance? K.L. Gwet. Computing inter-rater reliability and its variance in the presence of high agreement. Br J Math Stat Psychol. 2008 May;61(Pt 1):29-48. http://www.ncbi.nlm.nih.gov/pubmed/18482474 Thanks, --pete

Hi everyone, I have a question regarding a C function of the "stats" package in R. I tried to understand the ?loglin? basic function of the ?stats? package implemented in R. The implemented function itself runs without any problem (perhaps see sample). When I ran it line by line it stopped at the lines 23-24 of the loglin-function; (the following line): z <- .Call(C_LogLin,

Dear R gurus, I am looking for a way to fit a predictive model for a contingency table which has counts. I found that glm( family=poisson) is very good for figuring out which of several alternative models I should select. But once I select a model it is hard to present and interpret it, especially when it has interactions, because everything is done "relative to reference cell". This

Hi All, I am trying to creat a simple example byusing ipf function in R, but i could not get it succefully...I am very new to R, does anyone could help, to instruct me about this ipf fucntion? Actually, this is what I mean 50 | 50 ---------------------- 33.4| 28.57 | 14.29 33.3| 23.81 | 4.762 33.3| 9.523 | 19.05

I am using the loglin function of the base package to fit log-linear models. I am interested in obtaining the parameter values and their standard errors. Parameters are easily obtained, but I haven't found the way of obtaining their standad errors. Is this possible with the loglin function? If not, is there any other function to get them? Many thanks, -- Vicente Piorno Departamento de Ecolox?a

Hi, The data (attached) I am looking at consists of measurements of growth rate at different ages, for individuals in two treatments (control and infected). What I want to know is whether and when (what age) the growth rate of infected individuals is higher than the growth rate for control individuals. The simplest way to approach this question is to just do a t-test at each age, but because

Hello all, I have a question regarding my analysis and how to correctly model this in r syntax. I have a dataset from an experiment in which each subject received 3 treatments (HealthPrime, HedPrime and NonfPrime; within subjects factor). In each of these treatments, 40 measurements have been done of my DV (choice_topbottom, contineous variable) and two other predictor variables

I am fairly new to log-linear modelling, so as opposed to trying to fit modells, I am still trying to figure out how it actually works - hence I am looking at the interpretation of parameters. Now it seems most people skip this part and go directly to measuring model fit, so I am finding very few references to actual parameters, and am of course clear on the fact that their choice is irelevant for

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Hello all: I would like to test whether there are treatment effects on decomposition rate, and I would like to inquire about the best, most appropriate means using R. I have plant decomposition data that is generally considered to follow an exponential decay model as follows: Wt = Wi * exp(-k * t) Where Wt and Wi are the weights of the plant material at time t and 0, respectively. k is a

All, How does one specify a model in lmer such that say the random effect for the intercept has a different variance per treatment group? Thus, in the model equation, we'd have say b_ij represent the random effect for patient j in treatment group i, with variance depending on i, i.e, var(b_ij) = tau_i. Didn't see this in the docs or Pinherio & Bates (section 5.2 is specific for

I am trying to translate a given BMDP 8V problem treatment to something approximately equivalent in nlme package (or base R, if sufficient). (Of course, it is not my goal to end there. I want to get access to the advanced flexibility of a more modern treatment.) Here is the problem statement in BMDP control language: /input title='Augenbewegungen'. variables=4.

Hello, does anyone know something about missing data in the MCMC pack? thank you, Mariagiulia Mariagiulia Matteucci Dipartimento di Scienze Statistiche ?Paolo Fortunati? Universit? di Bologna Via Belle Arti, 41 40126 Bologna (ITALY) e-mail: matteucci at stat.unibo.it TEL: +39 051 264182 FAX: +39 051 232153

Hi there, I'm wondering what Zelig in the following situation (code below) actually does. Is this considered as a so called regression adjustment after the propensity score matching? library(MatchIt) library(Zelig) data(lalonde) re78 represents the outcome variable 1. With Zelig m.out <- matchit(treat ~ age + educ + black + hispan + married + nodegree + re74 + re75, data = lalonde)