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..., sd = 0.25)) d <- merge(d, groupeffx) d$etrue <- rnorm(n, sd = sqrt(d$verror)) d$y <- 5 + d$x + d$theta + d$etrue d$verrorf <- factor(paste("v",d$verror,sep="")) print(tapply(d$etrue, d$verrorf, var)) ## function to collect pieces from lme() output sumLME <- function(o){ tab <- summary(o)$tTable r <- c(tab[1,1:2], tab[2,1:2], as.numeric(VarCorr(o))[3:4]) names(r) <- c("b0","b0sd","b1","b1sd","sdgroup","sdresid") return(r) } ## function to collect pieces from lmer() o...

Hi, All How does one remove relevant information from a regression output besides just the coefficients? I've been able to modify the example given under "help(by)" to give me some additional information, but not everything I need. If you adjust the call statement from what is listed by adding the summary statement like so: tmp <- by(warpbreaks, tension, function(x)

I have a simple regression using lm(). If I just want to check the coefficient, I can use summary(lm())$coef; if I need the standard error, I can use summary(lm())$s, if I need the residuals, I can use summary(lm())$res. OK. How can I get the R-squares and Adjusted R-squares using $...? Is there a function, like objects(), that can show all the references for values? Thanks a lot! -- View this