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()
#> [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" pdqr-function (type "discrete" with "x" values equal to 0 and 1). Proceed with caution.#> [1] 0#> Warning: `f` is not a "boolean" pdqr-function (type "discrete" with "x" values equal to 0 and 1). Proceed with caution.#> [1] 1