poweRlaw (version 0.30.0)

dist_cdf: The cumulative distribution function (cdf)

Description

This is a generic function for calculating the cumulative distribution function (cdf) of distribution objects. This is similar to base R's pnorm for the normal distribution. The dist_cdf function calculates the cumulative probability distribution for the current parameters and xmin value.

Usage

dist_cdf(m, q = NULL, lower_tail = FALSE)
## S3 method for class 'conexp':
dist_cdf(m, q = NULL, lower_tail = TRUE)
## S3 method for class 'conexp':
dist_all_cdf(m, lower_tail = TRUE, xmax = 1e+05)
## S3 method for class 'conlnorm':
dist_cdf(m, q = NULL, lower_tail = TRUE)
## S3 method for class 'conlnorm':
dist_all_cdf(m, lower_tail = TRUE, xmax = 1e+05)
## S3 method for class 'conpl':
dist_cdf(m, q = NULL, lower_tail = TRUE)
## S3 method for class 'conpl':
dist_all_cdf(m, lower_tail = TRUE, xmax = 1e+05)
## S3 method for class 'disexp':
dist_cdf(m, q = NULL, lower_tail = TRUE)
## S3 method for class 'disexp':
dist_all_cdf(m, lower_tail = TRUE, xmax = 1e+05)
## S3 method for class 'dislnorm':
dist_cdf(m, q = NULL, lower_tail = TRUE)
## S3 method for class 'dislnorm':
dist_all_cdf(m, lower_tail = TRUE, xmax = 1e+05)
## S3 method for class 'displ':
dist_cdf(m, q = NULL, lower_tail = TRUE)
## S3 method for class 'displ':
dist_all_cdf(m, lower_tail = TRUE, xmax = 1e+05)
## S3 method for class 'dispois':
dist_cdf(m, q = NULL, lower_tail = TRUE)
## S3 method for class 'dispois':
dist_all_cdf(m, lower_tail = TRUE, xmax = 1e+05)

docType

methods

Examples

##########################################
#Load data and create distribution object#
##########################################
data(moby_sample)
m = displ$new(moby_sample)
m$setXmin(7); m$setPars(2)

##########################################
#Calculate the CDF at a particular values#
##########################################
dist_cdf(m, 10:15)

##########################################
#Calculate the CDF at the data values    #
##########################################
dist_cdf(m)