pdf.Beta {distributions3} | R Documentation |
Evaluate the probability mass function of a Beta distribution
## S3 method for class 'Beta'
pdf(d, x, drop = TRUE, elementwise = NULL, ...)
## S3 method for class 'Beta'
log_pdf(d, x, drop = TRUE, elementwise = NULL, ...)
d |
A |
x |
A vector of elements whose probabilities you would like to
determine given the distribution |
drop |
logical. Should the result be simplified to a vector if possible? |
elementwise |
logical. Should each distribution in |
... |
Arguments to be passed to |
In case of a single distribution object, either a numeric
vector of length probs
(if drop = TRUE
, default) or a matrix
with
length(x)
columns (if drop = FALSE
). In case of a vectorized distribution
object, a matrix with length(x)
columns containing all possible combinations.
set.seed(27)
X <- Beta(1, 2)
X
random(X, 10)
pdf(X, 0.7)
log_pdf(X, 0.7)
cdf(X, 0.7)
quantile(X, 0.7)
mean(X)
variance(X)
skewness(X)
kurtosis(X)
cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 0.7))