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+# Week 2
+
+After much deliberation, this week we'll work on data frames. They are probably the most important data structure in R as so much of what we deal with is tables.
+
+We will use the following two tutorials I made a while back:
+- https://aru-life-sciences.github.io/bioinformatics/R/programming/2_working_with_dataframes/htmls/reading_and_viewing.html
+- https://aru-life-sciences.github.io/bioinformatics/R/programming/2_working_with_dataframes/htmls/indexing.html
+
+Which are about reading in data, and extracting useful things from the data. As far as possible, I am going to try and do everything in base R (no packages), as we will look at packages later in the term.
+
+As per usual, we will probably get distracted. We are using the `barley` dataset. See:
+
+https://search.r-project.org/CRAN/refmans/PairedData/html/Barley.html
+
+## Extra stuff (mainly stats!)
+
+- `barley` has been used to investigate the paired T-test, which we could do.
+- `barley` has different sites, could see if there are between site differences in yield?
+- What about yield over time? A regression?