### 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 the model from the last lab. 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 15, 2011 11:05 | permanent link