search for: residiual

I'm fitting a mixed effects model: fit.1 <- lme(y~x,random=~1|id,data=df) There are two different observations for each id for both x and y. When I use plot(fit.1), there is a strong increasing linear trend in the residuals versus the fitted values (with no outliers). This also happens if I use random=~x|id. Am I specifying something incorrectly? Rick B.

Hello there This is the first time I have used r-help message board so I hope I have got the right address. I am trying to check the residuals of a GLMM model(run using the package lme4). I have been able to check the residiuals of REMLs in lme4 using the following: m1<-lmer(vTotal~Week+fCollar+ (1|fCat), collars) res<-resid(m1) plot(res) qqnorm(res) library(MASS) par(mfrow=c(2,3)) res<-residuals(m1) truehist(res,main="Histogram of Residuals") curve(dnorm(x,mean=mean(res),sd=sd(res)),add=TRUE) qqnorm(...

...Hmmh. Next. I then looked up the flac formatting guide. I figured that the encoding options used by the majority of applications are just the basic aliases 0-8. What struck me was that the flac formatting guide recommends higher (whatever) blocksizes in case of >48khz HiRez files and also a residiual partition order of 2,2. Since I do not have a lot of background about the internals of the decoder. I can't make much sense out of the advanced features of the formating guide. I'd really appreciate if somebody could tell me what best options to choose for encoding HiRez flacs. My go...