ndata <- na.omit(led1t7sts) and work with ndata. Why is that difficult?
On Fri, 28 Feb 2003, CG Pettersson wrote: > In 27/2, I got the following answer from Prof. Ripley: (The question is at the > bottom) > > >This ia already fixed in R-devel. The answer is the same: don't use > >na.omit implicitly: use it explicitly. > > I feel rather stupid for the moment, as I donīt understand an answer that looks very > simple. > Whatīs the code to do the trick using na.omit explicitly? (Preferably starting with > my code in the question) > I canīt get it to work, so my tries are not worth printing here... > > Thanks > /CG > > On Wed, 26 Feb 2003, CG Pettersson wrote: > Hello everybody! > > > > I use R 1.6.2 in Windows, and have a problem controlling the na.action. > > > > In a dataset with twelve trials, one of the trials lack any readings of the > > variable "STS.SH" (standing power at harvest) > > > > Fitting an aov() object with the call: > > led1t7sts.aov <- aov(STS.SH ~ Trial/Block + Treatment + Treatment:Trial, data = > > led1t7, na.action=na.exclude) > > seems to work as it produces an object with 10 df for the factor "Trial". > > > > But when I use model.tables or TukeyHSD on the object I get this: > > > model.tables(led1t7sts.aov, "means") > > Error in replications(paste("~", paste(names(tables), collapse = "+")), : > > na.action must be a function > > > > I have tried to use "na.action=na.exclude" inside the model.tables call as well, > > without any bettering. > > > > I can naturally cope with the problem by taking the whole trial away from the > > dataset, but it doesnīt feel very sophisticated...;-) > > (Prof. Ripley answered a similar question from me two weeks ago. The answer was > > good but didnīt work as the reason of the error was the same as this time: a > whole > > trial with only na:s in it). > > > > Thanks > > /CG > > CG Pettersson > > [EMAIL PROTECTED] > CG Pettersson > [EMAIL PROTECTED] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > http://www.stat.math.ethz.ch/mailman/listinfo/r-help > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272860 (secr) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help