entropy {CellaRepertorium} | R Documentation |
Calculate the entropy of a vector
entropy(v, pseudo_count = length(v)/1000, na.action = na.fail) np(v, p = 0.05, pseudo_count = p/5, na.action = na.fail) modal_category(v, na.action = na.fail)
v |
categorical vector |
pseudo_count |
number of pseudo counts to add on, to stabilize empty categories |
na.action |
how to handle NA values |
p |
proportion threshold |
the sample entropy
np
: The number of categories exceeding p
proportion of the total
modal_category
: The modal category of v. Ties are broken by lexicographic order of the factor levels.
v2 = gl(2, 4) v4 = gl(4, 4) stopifnot(entropy(v2) < entropy(v4)) v_empty = v2[1:4] #empty level 2 stopifnot(is.finite(entropy(v_empty))) # pseudo_count np(v4, p = .2, pseudo_count = 0) np(v4, p = .25, pseudo_count = 0) np(v4, p = .25, pseudo_count = .0001) modal_category(v4) modal_category(v4[-1])