search for: xrinv

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2001 Jul 08
1
predict.lm(...., se=T), with 1-column model matrix (PR#1018)
...r-bugs@r-project.org The problem occurs when the model matrix has a single column. > elastic <- data.frame(stretch=c(46,54,48,50,44,42,52), distance=c(183,217,189,208,178,150,249)) > elastic.lm <- lm(distance ~ -1 + stretch, data=elastic) > predict(elastic.lm,se=T) Error in XRinv^2 %*% rep(res.var, p) : non-conformable arguments The fix is to replace XRinv <- qr.Q(object$qr)[, p1] with XRinv <- qr.Q(object$qr)[, p1, drop=FALSE] The statement is five lines above XRinv^2 %*% rep(res.var, p) John Maindonald. --please do not edit the information below-- Version:...
2010 Nov 29
2
how to calculate standard error for the predicted value from geeglm?
...;- geeglm(resp ~ trt, data=dat,id=id,family=Gaussian,corstr="ar1",weights=weight) Then I predicted the GEE mean and se using the following code pred.mean <- predict(mod,data.frame(trt=factor(unique(dat$trt),levels=levels(dat$trt) )),se=T) I got the error message "Error in XRinv^2 %*% rep(res.var, p) : non-conformable arguments". Thanks for your help, Sue [[alternative HTML version deleted]]