| mine.associations {mining} | R Documentation |
Find unusually frequent variable combinations.
mine.associations(x,top=10,targets=NULL)
x |
a contingency table |
top |
the number of top associations to return |
targets |
a character vector of table variables, one of which must be included in every returned association. |
Enumerates all two-way marginal tables, sorts the cells by lift, and returns the top. The formula for lift is
frac{p(i,j)}{p(i)p(j)}
.
A data frame where the first column is Lift and the remaining columns
correspond to the variables of x.
Each row describes a cell of x, where marginalized
variables have value NA.
The lift value describes the ratio of the actual count in the cell versus
the expected count under independence.
Tom Minka
data(Titanic) mine.associations(Titanic) # Females are twice as likely to survive as the average person. # Members of 3rd class are twice as likely to be children as the average person. # Etc. # focus on associations with survival mine.associations(Titanic,target="Survived") # focus on children mine.associations(Titanic[,,1,],target="Survived")