Jen, try
na.action = na.exclude Andrew On Wed, May 28, 2008 9:26 pm, Jen_mp3 wrote: > > I am working on a project to find a model for the concentration of > dissolved > oxygen in the river clyde. Ive fitted a linear mixed model as > lme(DOW~Temperature+Salinity+Year+factor(Station)*factor(Depth), > random~1|id), where id is an identifier of the day over 20 years defined > as > Day*10000 + Month*100 + (1900 - Year). > Anyway, there are some NAs for the concentration of dissolved oxygen in > the > water so I know you add in na.action = na.omit and that omits the NAs so > there are 9008 observations in the model, but it doesnt do it for the > whole > data set where there are 10965 including observations with NAs. I would > like > to plot the residuals from the model against the Salinity, Temperature and > Year, but when I try, it seems to want to take the observations of these > variables from the full data set and the residuals from the model which of > course doesnt work. I have tried using > data1 <- data[data$DOW != "NA",] on the whole data set but it doesnt work. > How can I remove the NAs from a data set? > > -- > View this message in context: > http://www.nabble.com/How-to-remove-NAs-and-lme-function-tp17510564p17510564.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > Andrew Robinson Senior Lecturer in Statistics Tel: +61-3-8344-6410 Department of Mathematics and Statistics Fax: +61-3-8344 4599 University of Melbourne, VIC 3010 Australia Email: [EMAIL PROTECTED] Website: http://www.ms.unimelb.edu.au ______________________________________________ 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.