Summarize boolean distribution with probability
Here summ_prob_false() returns a probability of 0 and summ_prob_true() -
complementary probability (one minus summ_prob_false() output). Both of
them check if their input is a boolean pdqr-function: type "discrete"
with x in x_tbl identical to c(0, 1). If it is not, warning is thrown.
summ_prob_false(f) summ_prob_true(f)
f |
A pdqr-function representing distribution. |
A single numeric value representing corresponding probability.
Other summary functions:
summ_center(),
summ_classmetric(),
summ_distance(),
summ_entropy(),
summ_hdr(),
summ_interval(),
summ_moment(),
summ_order(),
summ_pval(),
summ_quantile(),
summ_roc(),
summ_separation(),
summ_spread()
d_unif <- as_d(dunif) d_norm <- as_d(dnorm) summ_prob_true(d_unif > d_norm) summ_prob_false(2 * d_norm > d_unif) # When input is "continuous" function or doesn't have 0 as distribution # element, probability of being false is returned as 0. summ_prob_false(d_unif) summ_prob_true(new_d(2, "discrete"))
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