One way to plot subsets of data identified by a grouping variable is to use
lapply() on a list of subsets. The approach is worth mentioning because
similar tactics are useful for many problems.
#List of unique values for grouping variable
#that is not necessarily a factor
names <- as.list(unique(df$Experiment))
#List of dataframes; 1 for each unique value of grouping variable
df.lst <- lapply(names,function(name)subset(df,Experiment==name))
#Name components of the list
#Not necessary in this case... but permits indexing by level
#of the grouping variable
names(df.lst) <- names
#Now you can use lapply() to carry out the same operation on
#each component of your list. For example, to send plots to
#a pdf with 1 page for each component:
pdf("plot.pdf")
lapply(df.lst,function(df)plot(df[,2],df[,3]))
dev.off()
-----
Glen Sargeant
Research Wildlife Biologist
--
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