Evaluate the probability mass function of a Logistic distribution
Please see the documentation of Logistic()
for some properties
of the Logistic distribution, as well as extensive examples
showing to how calculate p-values and confidence intervals.
## S3 method for class 'Logistic' pdf(d, x, ...) ## S3 method for class 'Logistic' log_pdf(d, x, ...)
d |
A |
x |
A vector of elements whose probabilities you would like to
determine given the distribution |
... |
Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors. |
A vector of probabilities, one for each element of x
.
Other Logistic distribution: cdf.Logistic
,
quantile.Logistic
,
random.Logistic
set.seed(27) X <- Logistic(2, 4) X random(X, 10) pdf(X, 2) log_pdf(X, 2) cdf(X, 4) quantile(X, 0.7)
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