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Note: when you actually want to start working on anything described here, make an issue for it and assign that issue to Training workshops Project. Once in Projects, can assign to yourself or to someone else and mark it as 'To-do' or 'In-progress'.
scrap alpha diversity, do a simpler function maybe using nitro/nitroso regex examples.
in string manip section - demonstrate string detect first theb build up into more complicated examples
split intermed R into two 1 day workshops, one as data manipulation and one as programming (might even be intermed-advanced R)
add instructor notes in setup instructions that tells you things like the general timing for this workshop, how reliant day 2 is on day 1 (ie objects made in day 1 that need to be reused).
add in explanation on:
# object save and read
saveRDS(my_object, file = "myobject.rds")
myobject <- readRDS("myobject.rds")
for and while loops - need a new example that is biological for doing while.
map() example - first example is maybe too convoluted too, start with another more biological example ? or instead of using a custom fucntion use a in built function
Data structures - at the end of this put recursive functions and S3/S4 objects inot a new section, somethign like sneak peek at advanced R
tibbles could do with some more practical examples of tibble specific functions and how its useful over a df in some examples
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Note: when you actually want to start working on anything described here, make an issue for it and assign that issue to Training workshops Project. Once in Projects, can assign to yourself or to someone else and mark it as 'To-do' or 'In-progress'.
scrap alpha diversity, do a simpler function maybe using nitro/nitroso regex examples.
in string manip section - demonstrate string detect first theb build up into more complicated examples
split intermed R into two 1 day workshops, one as data manipulation and one as programming (might even be intermed-advanced R)
add instructor notes in setup instructions that tells you things like the general timing for this workshop, how reliant day 2 is on day 1 (ie objects made in day 1 that need to be reused).
add in explanation on:
# object save and read
saveRDS(my_object, file = "myobject.rds")
myobject <- readRDS("myobject.rds")
for and while loops - need a new example that is biological for doing while.
map() example - first example is maybe too convoluted too, start with another more biological example ? or instead of using a custom fucntion use a in built function
Data structures - at the end of this put recursive functions and S3/S4 objects inot a new section, somethign like sneak peek at advanced R
tibbles could do with some more practical examples of tibble specific functions and how its useful over a df in some examples
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