add more on control flow, and for-loops in particular
Vectorization: leave it mostly as it is but remove the crazy scary word "vectorization". This can be explained much more simply e.g. "most operations made on vectors are made on each elements in the vector individually"
is dplyr really needed in an intro to R session? especially the pipe would be very confusing I think
in the same vein, we talk about dataframes but make most of our examples with tibbles... Granted, they're the same, but maybe it's a little early to introduce them here?
1.7.7.1 Task 5 asks students to use the table function which is not introduced anywhere else in the book... Maybe let's keep it to teach them the virtue of figuring things out by yourself?
Maybe let's find another way to illustrate default function arguments than with biased or unbiased variance (which they are not supposed to know and so will not necessarily "speak" to them...)
TODO:
tablefunction which is not introduced anywhere else in the book... Maybe let's keep it to teach them the virtue of figuring things out by yourself?