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# Week 2 | ||
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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. | ||
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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 | ||
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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. | ||
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As per usual, we will probably get distracted. We are using the `barley` dataset. See: | ||
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https://search.r-project.org/CRAN/refmans/PairedData/html/Barley.html | ||
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## Extra stuff (mainly stats!) | ||
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- `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? |