Exercise_14.R

# Exercise 14

library(tidyverse)

# here's a quick look at reduce, accumulate and flatten. these functions aren't
# as useful (in my opinion/experience!) as the map functions, but they do have
# their uses.
values <- 1:10

# try using reduce with any binary function, for example `+`, or min
# (note the backticks with the special infix functions +, -, *, /)
# try replacing reduce with accumulate to see the results

YOUR_CODE_HERE

# now, let's have a look at flatten. first, let's generate a list of random
# values
set.seed(134)
values <- map(values, ~sample(1:10, .x))

values

# now, try to flatten this to a single vector of doubles

YOUR_CODE_HERE

# see what happens with the flatten function vs flatten_dbl