search for: kappa2

...use it will look only on version (as i understand) and not on pins. I''ve found https://github.com/evolvingweb/puppet-apt/blob/master/manifests/force.pp which looks like something I need, but may be I''m missing something and there is proper way to do this. My puppet versions: root@kappa2:~# dpkg -l|grep puppet ii puppet 2.6.2-4~bpo50+1 Centralized configuration management - agent ii puppet-common 2.6.2-4~bpo50+1 Centralized configuration management root@kappa2:~# puppetd --version 2.6.2 OS - Debian Lenny amd64, puppet fr...

Buenas, ¿alguien sabe qué puede ser este error? data es una df y las columnas 23 y 24 son las que quiero comparar; están bien. testK<-kappa2(data[,c(23,24)], "equal") Error in sort.list(y) : 'x' must be atomic for 'sort.list' Have you called 'sort' on a list? -- Dr Manuel Mendoza Department of Biogeography and Global Change National Museum of Natural History (MNCN) Spanish Scientific Council (CSIC) C/...

Hi, I've got two vectors with ratings from two coders, like this: x<-c("red", "yellow", "blue", "red") #coder number 1 y<-c("red", "blue", "blue", "red") #coder number 2 I want to find Cohen's Kappa using the wkappa function in the psych package. The only example in the docs is using a matrix, which

...html latex example diagnoses text html latex example finn text html latex example icc text html latex example iota text html latex example kappa2 text html latex example kappam.fleiss text html latex example kappam.light text html latex example kendall text html latex example maxwell...

...a dependent and not parameter dependent), furthermore, the constant is not used in any subscripting. Sorry I cannot provide a toy example, but the likelihood function looks like this: lnL <- function(theta, gsvr, gsvR) { # theta[1]= mu, theta[2]=gamma, theta[3]=kappa1, theta[4]=kappa2 nn <- 252 d <- 0:nn wd <- exp((theta[3] * d + theta[4] * d^2))/(sum(exp(theta[3] * d + theta[4] * d^2))) sigsq <- numeric(length(gsvR$ret)) x <- numeric(length(gsvR$ret) # Below this line can be specified different...

...kappa1=50000) -- JOINT FRAILTY MODELS in the context of joint modelling of recurrent events with terminal event: fitJoint<-frailtyPenal(Surv(time.entry,time.end,status)~cluster(id)+ terminal(status.terminal),formula.terminalEvent=~status.terminal,data=dataJoint ,n.knots=12,kappa1=1,kappa2=1,joint=TRUE,recurrentAG=TRUE) We included several examples. REFERENCES [1] Rondeau V, Michiels S, Liquet B, Pignon JP. Investigating trial and treatment hete rogeneity in an individual patient data meta-analysis of survival data by means of the penalized maximum likelihood approach. Statist...

Dear list, I calculated the kappa-accuracy for two differnt classifications. How can I test now the two kappa-value for significance? thanks, Mark ..................................................................... Markus Schwarz Wissenschaftliche Mitarbeiterin Eidg. Forschungsanstalt WSL Forschungsprogramm Musterland Z??rcherstrasse 111 CH-8903 Birmensdorf Telefon +41-44-739 22 87 Fax

Hello, I?m looking for a way to measure the goodness of fit of my model with Cohen?s Kappa (scaling between 0 and 1). The kappa function does not give the results I?m looking for. Heres the code: z<-glm(x~y,binomial) kappa(z, exact = T) Does anyone know more? many thanks Christian -- _______________________________________________ Search for businesses by name, location, or phone number.

...kappa1=50000) -- JOINT FRAILTY MODELS in the context of joint modelling of recurrent events with terminal event: fitJoint<-frailtyPenal(Surv(time.entry,time.end,status)~cluster(id)+ terminal(status.terminal),formula.terminalEvent=~status.terminal,data=dataJoint ,n.knots=12,kappa1=1,kappa2=1,joint=TRUE,recurrentAG=TRUE) We included several examples. REFERENCES [1] Rondeau V, Michiels S, Liquet B, Pignon JP. Investigating trial and treatment hete rogeneity in an individual patient data meta-analysis of survival data by means of the penalized maximum likelihood approach. Statist...

Dear R-user, Did anybody know how to calculate the kappa statistics of two vectors for the agreement? for example: a<-c(0,1,0,0,1,0) b<-c(0,1,1,0,0,1) I know the percent of agreement is 3/6, but how to get the kappa? [[alternative HTML version deleted]]

...alignant, probably malignant, probably benign, and benign. I want to compare all the raters but I want a weighted kappa to penalize differences between malignant and benign more than differences between malignant and probably malignant. I only found the weighted option in the 2-rater functions (kappa2, wkappa, cohen.kappa). The functions I found for multiple raters do not include a weighted option for categorical data (kappam.fleiss, kappam.light, lkappa). Anyone know a function that allows the calculation of weighted kappa for m raters? Thanks in advance! ~Marwa [[alternative...

Hello, I am using logistic discriminant analysis to check whether a known classification Yobs can be predicted by few continuous variables X. What I do is to predict class probabilities with multinom() in nnet(), obtaining a predicted classification Ypred and then compute the percentage P(obs) of objects classified the same in Yobs and Ypred. My problem now is to figure out whether P(obs) is

Thanks Dimitris!!! That's much clearer now. Still have a lot of work to do this weekend to understand every bit but your code will prove very useful. Cheers, Aziz -----Original Message----- From: Dimitrios Rizopoulos [mailto:Dimitris.Rizopoulos at med.kuleuven.be] Sent: May 12, 2006 4:35 PM To: Chaouch, Aziz Subject: RE: [R] Maximum likelihood estimate of bivariate