1. You need to research "errors in variables regression." 2. This is off topic here. This list is about R programming, not statistics. Post on a statistics list like stats.stackexchange.com instead.
3. Better yet, consult a local statistical expert. 4. If you post on R issues here, follow the list protocols and post in plain text, not HTML, please. Cheers, Bert Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll On Sun, Jun 28, 2015 at 9:40 AM, Shaunna Morrison <[email protected]> wrote: > 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]] > > ______________________________________________ > [email protected] 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. ______________________________________________ [email protected] 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.
