### Writing Multiple Functions (Introduction to Statistical Computing)

Lecture
5: Using multiple functions to solve multiple problems; to sub-divide
awkward problems into more tractable ones; to re-use solutions to recurring
problems. Value of consistent interfaces for functions working with the same
object, or doing similar tasks. Examples: writing prediction and plotting
functions for power-law scaling models. Advantages of splitting big problems
into smaller ones with their own functions: understanding, modification,
design, re-use of work. Trade-off between internal sub-functions and separate
functions. Re-writing the plotting function to use the prediction function.
Recursion. Example: re-writing the resource allocation code to be more modular
and
recursive. R
for examples.

Introduction to Statistical Computing

Posted at September 11, 2013 10:30 | permanent link