Hello!
I have a linear dataset with known values of X & Y in R. I treat the dataset as a linear model. I have a data point with a known value of X and an unknown value of Y. The X value has an associated instrument error. Goal: compute the prediction interval (of Y) for the data point, X, and its associated error. Commands: newdata=data.frame(X=###) predict(g,newdata,interval="prediction",level=0.68) This allows me to compute the prediction interval for a data point, based on a known value of X, but does not propagate the error associated with X. *I need a method in R to include/propagate the error associated with X. * Note - The X,Y dataset is subject to the same type of associated error as the input variable, X. *However*, we do not wish to include the dataset's associated error in this prediction interval. Thank you! [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.