search for: posteriory

Hi all How can I change the limits (xlim or ylim) in a plot that has been already created? For example, consider this naive example curve(dbeta(x,2,4)) curve(dbeta(x,8,13),add=T,col=2) When adding the second curve, it goes off the original limits computed by R for the first graph, which are roughly, c(0,2.1) I know two obvious solutions for this, which are: 1) passing a sufficiently large

Dear all, I am studying a dataset using the aov() function. The independant variable 'cds' is a factor() with 8 levels and here is the result in studying the dependant variable 'rta' with aov() : > summary(aov(rta ~ cds)) Df Sum Sq Mean Sq F value Pr(>F) cds 7 0.34713 0.04959 2.3807 0.02777 Residuals 92 1.91635 0.02083 The dependant variable

Hello, Is it possible to build a function, a posteriori, by getting the names of the arguments and the formula in a list or a vector ? When I use the function as.function(), I don't know how to define explicitly the names of my variables as formal arguments. Thanks _______________________________________ Florent BATY CNRS UMR 5558 Dynamique des Populations Bact?riennes Facult? de

Hola. Me interesa meter una serie de regresiones lineales en una lista a la que voy a denominar L. El problema es que a posteriori necesito sacar valores de esas regresiones. Sin embargo, al llamar a L[1] este no es un objeto del tipo "lm" sino que es del tipo "list" y no puedo aplicarle funciones relacionadas con la regresión (tal y como puede ser hacer un summary para

Hi, I run R 2.10.1 under ubuntu 10.04 LTS (Lucid Lynx) and klaR version 0.6-4. I compute a model over a 2 classes dataset (composed of 700 examples). To that aim, I use the function NaiveBayes provided in the package klaR. When I then use the prediction function : predict(my_model, new_data). I get the following warning : "In FUN(1:747[[747L]], ...) : Numerical 0 probability with

Version 1.1 of the MiscPsycho package had been uploaded to CRAN. The package has been updated to include the following: 1) The irt.ability() function that estimates examinee ability given a set of item parameters. The function is very general and can be used to estimate ability when there are only dichotomous items (1-, 2-, or 3PL), only polytomous items (generalized partial credit model), or a

hello, I am using LDA and QDA function of MASS library. I understand Fisher LDA is a method non-probabilistic in nature, so I wonder what happens when I try to predict my test set examples as in: > fit <- lda(labels~., data=train.table, prior=c(.5,.5)) > pred <- predict(fit, data=test.table, prior=c(.5,.5)) Specifically I ask this because in my problem there are 700 examples

Version 1.1 of the MiscPsycho package had been uploaded to CRAN. The package has been updated to include the following: 1) The irt.ability() function that estimates examinee ability given a set of item parameters. The function is very general and can be used to estimate ability when there are only dichotomous items (1-, 2-, or 3PL), only polytomous items (generalized partial credit model), or a

Jean Marc, I have been fiddling around with preprocess to try to get it sounding less metallic/underwater- so based on some things said recently, I have been first fiddling with mean_post and mean_prior to try to get them to do change the update rate, so that update_noise gets called at the right times. Haven't made it too deep into the code, but I have a few questions in speex_preprocess:

Hi All, I have data about seed predation (SP) in fruits of three differents colors (yellow, motted, dark) and in two fruiting seasons (2007, 2008). I performed a GLMM (lmer function, lme4 package) and the outcome showed that the interaction term (color:season) was significant, and some combinations of this interaction have significant Pr(>|z|), but I don't think they are the right

Hola miembros de la lista, Estoy utilizando la función levelplot del paquete rasterVis para graficar un raster y quiero controlar la altura de la referencia de color (colorkey) del mapa, pero cuando cambio valores en el argumento "height" no parece provocar cambios. Alguna idea de por qué no está funcionando? > cobertura class : RasterLayer dimensions : 780, 1296, 1010880

Hello R, I am looking for non-parametric simulation in IRT. Is there any IRT package that does non-parametric simulation? helen L [[alternative HTML version deleted]]

Hola doblett. No sé si te lo han comentado ya, pero yo le echaría un ojo al paquete ReporteRs. Un saludo, Miguel. El 06/06/2017 a las 16:00, doblett escribió: > Muchas gracias a todos por las sugerencias y por la rápida respuesta. > Mi impresión es que no tenemos una solución cómoda para este tema y al > menos en mi día a día es muy útil. > > - Tables, funciona muy bien

On 06/12/14 20:34, Donelson Trophy wrote: > > > Thank you Hector. Despite my poor spanish, I can see that I need to > check what dependencies are loading with Sernet-samba. > > More tomorrow when I am at a better machine to communicate with the > forum on. > > Thanks. > > --- > > ------------------------- > > Bob Wooden of Donelson Trophy > >

Hola doblett Creo qeu el paquete stargazer te puede ayudar: https://cran.r-project.org/web/packages/stargazer/index.html http://jakeruss.com/cheatsheets/stargazer.html Un saludo. El 6 de junio de 2017, 15:17, Álvaro Hernández <alvarohv en um.es> escribió: > Hola, doblett: > > Yo utilizo normalmente el paquete 'tables' que tiene una documentación > bastante buena.

Buenas noches a todos, Muchísimas gracias por la ayuda y por las recomendaciones. Sobre los paquetes "ReporteRs" y "tangram" nunca había oído nada sobre ellos pero lo que he mirado por encima tiene muy buena pinta. Me ponga manos a la obra. Saludos. El 7 de junio de 2017, 9:54, Carlos Ortega <cof en qualityexcellence.es> escribió: > Hola, > > Hace poco vi

...ring whether I can use the "density" method at all, if yes: shall I be aware of how to set the parameters of this function or is standard enough (I think especially for the "logaritmic" data, it could be better to use other parameters... ) Does anybody know something about "posteriory pdf"? And then, are there methods how to compare density functions and how to quantify their difference? Sorry for all these questions. I would be happy, if anybody could give me a hint how to approach the problem and probably refer to some good ("easy" to read) literature on this t...

Hi, everyone. GAD package analyses complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and "a posteriori" comparisons of means are done using

[Mod: Sent to linux-security instead of linux alert -- alex] Dave G. <daveg@ESCAPE.COM> wrote: > /* vixie crontab buffer overflow for RedHat Linux > * > * I dont think too many people know that redhat uses vixie crontab. > * I didn''t find this, just exploited it. The vulnerability involves an unguarded sscanf call in env.c. Enlarging the buffer to the largest

Good afternoon, gentlemen! After several days studying and researching on categorical data (various forums with answers from the owner of the library - all incipient) how to interpret the output the function MCMCglmm, come to enlist the help of you, if someone has already worked with MCMCglmm function in the case of variables ordinal dependent. I've read and reread all the pdf's of the