Functions to convert matrix observations to likelihood functions. Each row is an observation of some kind, and each column a player.
Function ordertable2supp() is documented separately at ordertable2supp.
saffy(M)volley(M)
Arguments
M: A matrix of observations
Details
Two functions are documented here:
saffy(), which converts a matrix of restricted choices into a likelihood function; it is named for Saffron O'Neill. The canonical example would be Saffron's climate change dataset, documented at icons. Function saffy() returns the appropriate likelihood function for the dataset.
volley(), which converts a matrix of winning and losing team members to a likelihood function. The canonical example is the volleyball dataset. Each row is a volleyball game; each column is a player. An entry of 0 means on the losing side , an entry of 1 means on the winning side , and an entry of NA means did not play .
Author(s)
Robin K. S. Hankin
See Also
icons,volleyball
Examples
icons == saffy(icons_table)# should be TRUEvolley(volleyball_table)== volleyball # also should be TRUE