> I am trying to detrend and transform variables to achieve > normality and stationarity (for time series use, namely spectral > analysis). I am using the boxcox transformations. > > > > As my dataset contains zeros, I found I need to add a constant to > it in order to run "boxcox".
If your data are continuous with exact zeros, and contain a lot of zeros, no transformation may help. You simply map a stack of zeros to some other value. Box--Cox transforms are not really designed for this. If your data really is continuous with exact zeros, other options exist such as hurdle models, Tweedie glms (package tweedie) and so forth. P. -- Dr Peter Dunn | dunn <at> usq.edu.au Faculty of Sciences, USQ; http://www.sci.usq.edu.au/staff/dunn Aust. Centre for Sustainable Catchments: www.usq.edu.au/acsc This email (including any attached files) is confidentia...{{dropped:15}} ______________________________________________ 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.
