cdf.Exponential: Evaluate the cumulative distribution function of an Exponential distribution
Description
Evaluate the cumulative distribution function of an Exponential distribution
Usage
# S3 method for Exponential
cdf(d, x, drop = TRUE, elementwise = NULL, ...)
Value
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.
Arguments
d
An Exponential object created by a call to Exponential().
x
A vector of elements whose cumulative probabilities you would
like to determine given the distribution d.
drop
logical. Should the result be simplified to a vector if possible?
elementwise
logical. Should each distribution in d be evaluated
at all elements of x (elementwise = FALSE, yielding a matrix)?
Or, if d and x have the same length, should the evaluation be
done element by element (elementwise = TRUE, yielding a vector)? The
default of NULL means that elementwise = TRUE is used if the
lengths match and otherwise elementwise = FALSE is used.
...
Arguments to be passed to pexp.
Unevaluated arguments will generate a warning to catch mispellings or other
possible errors.