### More Data Structures (Introduction to Statistical Computing)

Lecture
2: Matrices as a special type of array; functions for matrix arithmetic and
algebra: multiplication, transpose, determinant, inversion, solving linear
systems. Using names to make calculations clearer and safer:
resource-allocation mini-example. Lists for combining multiple types of
values; access sub-lists, individual elements; ways of adding and removing
parts of lists. Lists as key-value pairs. Data frames: the data structure for
classic tabular data, one column per variable, one row per unit; data frames as
hybrids of matrices and lists. Structures of structures: using lists
recursively to creating complicated objects; example with `eigen`.

Introduction to Statistical Computing

Posted at August 29, 2012 11:20 | permanent link