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...oxplots), but I haven't been able to figure it out for two different types of plots. Below is my test case: library(ggplot2) library(gridExtra) #generate test precipitation data year<-c(2000,2001,2002,2003,2004) precip<-c(46,100,80,74,20) yp<-data.frame(year, precip) #generate test fecal coliform data year2<-c(2000,2000,2000,2000,2000,2000,2000,2000,2000,2000, 2001,2001,2001,2001,2001,2001,2001,2001,2001,2001, 2002,2002,2002,2002,2002,2002,2002,2002,2002,2002, 2003,2003,2003,2003,2003,2003,2003,2003,2003,2003, 2004,2004,2004,2004,2004,2004,2004,2004,2004,2004) fc<-sample(1:10...

...emails to a web site. Must be usable without special training. I have no experience with this. Anyone have a suggestion? LAMP stack installed. Dave -- When a respected information source covers something where you have on-the- ground experience, the result is often to make you wonder how much fecal matter you've swallowed in areas outside your own expertise. -- Rusty Russell

...er (lower type 1 and 2 error rates) than models using normal (with log-transformed data) and negative binomial error structure. I have looked at the R help site and had no success in conducting the analysis, so I had no choice but to turn to the R masters. The dependent variable is coccidiaopg (a fecal egg count) and the independent variables are age (continuous), year (continous), sex (2 level factor), and season (2 level factor). The variable sex is a nested factor in season due to the fact that different individuals were sampled during the different seasons. I may need to talk with a local s...