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 pdqrfunction: 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 pdqrfunction 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()
#> [1] 0.6843735summ_prob_false(2*d_norm > d_unif)#> [1] 0.5977087
# 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)#> Warning: `f` is not a "boolean" pdqrfunction (type "discrete" with "x" values equal to 0 and 1). Proceed with caution.#> [1] 0#> Warning: `f` is not a "boolean" pdqrfunction (type "discrete" with "x" values equal to 0 and 1). Proceed with caution.#> [1] 1