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plot observed vs fitted with model with NAs in data

You probably need to fit your model with the na.action = na.exclude argument. A more detailed answer requires more information. Have a look at http://www.r-project.org/posting-guide.html

ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
Thierry.Onkelinx at inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] Namens Paul Tanger
Verzonden: woensdag 5 maart 2014 8:24
Aan: r-sig-mixed-models at r-project.org
Onderwerp: [R-sig-ME] plot observed vs fitted with model with NAs in data

Hi,
I have a model that I fit from data with some NAs in it.. everything is going well until I try to plot observed vs fitted.. and I can figure out how to fix this.. any ideas?  I can see that there are 1049 observed and
1050 fitted.. but can I resolve this without fitting new models after discarding NAs?  I would really rather not do that.
Error in `[<-.data.frame`(`*tmp*`, , ".y", value = c(130.983333333333,  :
  replacement has 1050 rows, data has 1049


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