Hi all, I am having trouble wrapping my head around a probably simple issue:
After using the reshape package, I have a melted dataframe with the columns group (factor), time (int), condition (factor), value(int). These are experimental data. The data were obtained from different treatment groups (group) under different conditions at different time points. I would now like to perform ANOVA, boxplots and calculate means to compare groups for all combinations of conditions and time points with something like fit <- lm(value~group, data=[subset of data with combination of condition/timepoint]) summary (fit) p <- ggplot([subset of data with combination of condition/timepoint], aes(x= group, y=value)) + geom_boxplot () print (p) tapply ([subset of data with combination of condition/timepoint]$value, subset of data with combination of condition/timepoint]$group, mean) How can I loop through these combinations and output the data in an elegant way? Thanks so much! Best, Kai [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.