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Day 2: add a slide on absolute vs relative directory paths
spend more time on logical vectors, e.g. is.na(), which(), sum(vec)
add selecting vectors / rows by logical vectors
maybe skip the matrices and do lists + data frames / tibbles first (
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Day 3:
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limit the regular expressions to a minimum
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make this part shorter
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Day 4
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start with exercises earlier
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use only tidyverse for ordering and filtering? (filter & arrange) -> base R is still part of the slide deck, but will not be covered in the lecture
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Merging (cont.) -> figure out a better example
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give better examples and easier exercise
Other
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Record a video about saving graphics to files
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check whether all data is necessary (repo too big)
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tell them to download the datasets before everything else (because the download takes time)