Logistic distribution {dprop} | R Documentation |
Compute the distributional properties of the logistic distribution
Description
Compute the first four ordinary moments, central moments, mean, and variance, Pearson's coefficient of skewness and kurtosis, coefficient of variation, median and quartile deviation based on the selected parametric values of the logistic distribution.
Usage
d_logis(mu, sigma)
Arguments
mu |
Location parameter of the logistic distribution ( |
sigma |
The strictly positive scale parameter of the logistic distribution ( |
Details
The following is the probability density function of the logistic distribution:
where ,
and
.
Value
d_logis gives the first four ordinary moments, central moments, mean, and variance, Pearson's coefficient of skewness and kurtosis, coefficient of variation, median and quartile deviation based on the selected parametric values of the logistic distribution.
Author(s)
Muhammad Imran.
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.
References
Johnson, N. L., Kotz, S., & Balakrishnan, N. (1995). Continuous univariate distributions, Volume 2 (Vol. 289). John Wiley & Sons.
See Also
Examples
d_logis(4,0.2)