On Tue, 2010-10-05 at 08:11 -0700, Filoche wrote: > Hi everyone. > > I'm trying to do a loess with missing value on independant variable. > > > > doc = c(2.27904, 2.59536, 7.44696, NA, 6.24264, 4.58400, 5.79192, 5.39502, > 7.41216, 4.09440, 4.22868, 4.24620, 5.43804, 1.95528); > distance = c(26.5,56.5, 90.3, 123.0, 147.5, 176.0, 215.7, 229.3, 252.0, > 325.3, 362.0, 419.3, 454.6, 470.0); > > myloess = loess(doc ~ distance, na.action = na.omit);
You want na.exclude here not na.omit: myloess <- loess(doc ~ distance, na.action = na.exclude) > plot(distance, predict(myloess)); The predict() method ensures that the predictions have the correct length now that we set na.action to na.exclude. > When I plot the data there's a problem since distance and predicted values > have different length. > > Any way to plot the loess without having to specify the X data? Also, this is R, not C. You don't need the ; at the end of the lines. > With regards, > Phil HTH G -- %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% Dr. Gavin Simpson [t] +44 (0)20 7679 0522 ECRC, UCL Geography, [f] +44 (0)20 7679 0565 Pearson Building, [e] gavin.simpsonATNOSPAMucl.ac.uk Gower Street, London [w] http://www.ucl.ac.uk/~ucfagls/ UK. WC1E 6BT. [w] http://www.freshwaters.org.uk %~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~% ______________________________________________ R-help@r-project.org mailing list 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.
