Skew Normal Cumulative Distribution Function
Usage
prob_skewnorm(x, location = 0, scale = 1, shape = 0, ..., mean, sd)
Arguments
- x
A numeric vector of quantiles.
- location
A numeric vector of the location parameter.
- scale
A non-negative numeric vector of the scale parameter.
- shape
A numeric vector of shape. Negative values result in leftward skew, while positive values result in rightward skew.
- ...
Unused.
- mean
![[Deprecated]](figures/lifecycle-deprecated.svg)
A numeric vector of the location parameter.
Described as "a numeric vector of the means" prior to to v. 0.10.1.
Will be removed in a future version.
- sd
A non-negative numeric vector of the scale parameter.
Described as "a non-negative numeric vector of the standard deviations" prior
to v. 0.10.1.
Will be removed in a future version.
Value
An numeric vector of the corresponding probabilities.
See also
Other prob_dist:
prob_bern(),
prob_beta(),
prob_beta_binom(),
prob_binom(),
prob_exp(),
prob_gamma(),
prob_gamma_pois(),
prob_gamma_pois_zi(),
prob_lnorm(),
prob_neg_binom(),
prob_norm(),
prob_pois(),
prob_pois_zi(),
prob_skewlnorm(),
prob_student(),
prob_unif()
Examples
prob_skewnorm(c(-2:2))
#> [1] 0.02275013 0.15865525 0.50000000 0.84134475 0.97724987
prob_skewnorm(c(-2:2), shape = -2)
#> [1] 0.04549995 0.31559163 0.85241638 0.99828112 0.99999969
prob_skewnorm(c(-2:2), shape = 2)
#> [1] 3.143618e-07 1.718880e-03 1.475836e-01 6.844084e-01 9.545001e-01
