[R] confint fails in quasibinomial glm: dims do not match

I am unable to calculate confidence intervals for the slope estimate in a quasibinomial glm using confint(). Below is the output and the package info for MASS. Thanks in advance! R 2.9.2 MASS 7.2-48 > confint(glm.palive.0.str) Waiting for profiling to be done... Error: dims [product 37] do not m

[R] Coda not providing summary on mcmc object

The object is a mcmc sample from lmer. I am using R v2.7.1. Please let me know what additional information I can provide, hopefully I am just making a simple mistake. Thanks in advance! > data(ratdrink, package = 'faraway') > rd.er <- lmer(wt ~ weeks*treat + (1 | subject), data = ratdrink) > rd.m

[R] Weighted means in aggregate.table

I need to calculate the weighted means by two factors, the subject id and the time of measurement. I was hoping to use aggregate.table, but this function does not allow me to use different weights for each mean that is calculated. id <- c(rep("a",4),rep("b",4)) time <- c(0,0,60,60,0,0,60,60) y <