cdf.Exponential {distributions3} | R Documentation |
Evaluate the cumulative distribution function of an Exponential distribution
## S3 method for class 'Exponential'
cdf(d, x, drop = TRUE, elementwise = NULL, ...)
d |
An |
x |
A vector of elements whose cumulative 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 <- Exponential(5)
X
mean(X)
variance(X)
skewness(X)
kurtosis(X)
random(X, 10)
pdf(X, 2)
log_pdf(X, 2)
cdf(X, 4)
quantile(X, 0.7)
cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 7))