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...ld ## supply a fitted model "model" and a focus list "fl" of variable ## values. See examples below. The list must be a named list, ## using names of variables from the regression formula. ## It is not needed to call this ## directly if one is satisfied with the results from ## predictOMatic newdataMaker <- function (model = NULL, fl = NULL){ mf <- model.frame(model) mterms <- terms(model) mfnames <- colnames(mf) modelcv <- centralValues(mf) if (sum(!names(fl) %in% mfnames) > 0) stop(cat(c("Error. The focus list (fl) requests variables that...

Hi, I am performing meta-regression using linear mixed-effect model with the lme() function that has two fixed effect variables;one as a log transformed variable (x) and one as factor (y) variable, and two nested random intercept terms. I want to save the predicted values from that model and show the log curve in a plot ; predicted~log(x) mod<-lme(B~log(x)+as.factor(y),

...linked above explains, you can download the test version from our local repository called "kran". I have been making new packages every 3 days or so. If you are a github user, you can clone a copy of the source if you like (http:// The functions that have gotten the biggest workover are predictOMatic, newdata, plotSlopes, plotCurves, and testSlopes. If you just install the package and run those examples, you will be able to tell right away if you are interested in trying to adapt these to your needs. Generally speaking, I watch the students each semester to see which R things frustrate them t...