search for: anov1

...it under this framework). There does appear to be some indexing in the output of this type, but perhaps not enough to obtain single values? Here's what I've been able to do so far with some example code: > density.aov<-aov(density ~ substrate + Error(substrate/tile)) > > anov1<-(summary(density.aov)) > print(anov1) Error: substrate Df Sum Sq Mean Sq substrate 2 1282.4 641.2 Error: substrate:tile Df Sum Sq Mean Sq F value Pr(>F) Residuals 27 225.700 8.359 Error: Within Df Sum Sq Mean Sq F value Pr(>F) Resid...

...different experiments. I have 48 levels of the main factor x1 and 242 levels of the nested factor z1, and continuous response variable y1 with around 15.000 data points. There is no interaction between specification of the main factor and nested factor levels. When I run lm on using nested design anov1=lm(c(as.vector(y1))~as.factor(x1)+ as.factor(x1)/as.factor(z1)) I get a warning summary(anov1) Coefficients: (.. not defined because of singularities). I obtain interaction between factors that should not be included because of the nested design. Furthermore, the running time takes more than 7...

...in eval(expr, envir, enclos) : y values must be 0 <= y <= 1". All the response variables have value of 0 or 1. It worked well for summary and anova but not for logistic.display in the loop. Thanks for any help, Tom logreg1<-vector("list", length(l)) logreg.anov1<-vector("list",length(l)) logreg.summ1<-vector("list",length(l)) logreg.conf1<-vector("list",length(l)) for (i in c(13:16)){ logreg1[[i-x]]<-glm(dat[,i]~group + age, family=binomial, data=Ndat) logreg.anov1[[i-x]]<-anova(logreg1[[i-x]]) logreg.summ...

...3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 z1 [1] 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 [38] 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 [75] 5 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 7 7 7 7 7 7 7 7 7 7. When I run lm on using nested design anov1=lm(c(as.vector(y1)) ~as.factor(x1)+ as.factor(x1)/as.factor(z1)) I get a warning summary(anov1) Coefficients: (14 not defined because of singularities). I get interaction between factors that should not be included because of the nested design. Why R includes them? This is becomes a problem wh...