list(...), I am working with environmental time series (eg rainfall, stream flow) that have attached quality codes for each data point. The quality codes have just a few factor levels, like "good", "suspect", "poor", "imputed". I use the quality codes in plots and summaries. They are carried through when a time series is aggregated to a longer time-step, according to rules like "worst", "median" or "mode".
I need to support time steps of anything from hours to years. I can assume the data are regular time series -- they might be irregular initially but could be 'regularized'. But I would want to plot irregular time series along with regular ones. So far I have been using a data frame with a POSIXct column, a numeric column and a factor column. However I would like to use zoo instead, because of its many utility functions and easy conversion to ts. Is there any prospect of zoo handling such numeric + factor data? Other suggestions on elegant ways to do it are also welcome. Felix -- Felix Andrews / 安福立 PhD candidate Integrated Catchment Assessment and Management Centre The Fenner School of Environment and Society The Australian National University (Building 48A), ACT 0200 Beijing Bag, Locked Bag 40, Kingston ACT 2604 http://www.neurofractal.org/felix/ xmpp:[EMAIL PROTECTED] 3358 543D AAC6 22C2 D336 80D9 360B 72DD 3E4C F5D8 ______________________________________________ R-help@stat.math.ethz.ch 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.