random.HurdleNegativeBinomial {distributions3} | R Documentation |
Draw a random sample from a hurdle negative binomial distribution
## S3 method for class 'HurdleNegativeBinomial'
random(x, n = 1L, drop = TRUE, ...)
x |
A |
n |
The number of samples to draw. Defaults to |
drop |
logical. Should the result be simplified to a vector if possible? |
... |
Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors. |
In case of a single distribution object or n = 1
, either a numeric
vector of length n
(if drop = TRUE
, default) or a matrix
with n
columns
(if drop = FALSE
).
## set up a hurdle negative binomial distribution
X <- HurdleNegativeBinomial(mu = 2.5, theta = 1, pi = 0.75)
X
## standard functions
pdf(X, 0:8)
cdf(X, 0:8)
quantile(X, seq(0, 1, by = 0.25))
## cdf() and quantile() are inverses for each other
quantile(X, cdf(X, 3))
## density visualization
plot(0:8, pdf(X, 0:8), type = "h", lwd = 2)
## corresponding sample with histogram of empirical frequencies
set.seed(0)
x <- random(X, 500)
hist(x, breaks = -1:max(x) + 0.5)