The data cumulative distribution function
This is generic function for distribution objects. This function calculates the data or empirical cdf.
The functions dist_data_all_cdf and dist_all_cdf are only
available for discrete distributions.
Their main purpose is to optimise the bootstrap procedure, where generating a
vector xmin:xmax is
very quick. Also, when bootstrapping very large values can be generated.
dist_all_cdf(m, lower_tail = TRUE, xmax = 1e+05) dist_data_cdf(m, lower_tail = TRUE, xmax = 1e+05) dist_data_all_cdf(m, lower_tail = TRUE, xmax = 1e+05) ## S4 method for signature 'discrete_distribution' dist_data_cdf(m, lower_tail = TRUE, xmax = 1e+05) ## S4 method for signature 'discrete_distribution' dist_data_all_cdf(m, lower_tail = TRUE, xmax = 1e+05) ## S4 method for signature 'ctn_distribution' dist_data_cdf(m, lower_tail = TRUE, xmax = 1e+05)
m |
a distribution object. |
lower_tail |
logical; if |
xmax |
default |
This method does *not* alter the internal state of the distribution objects.
########################################## #Load data and create distribution object# ########################################## data(moby_sample) m = displ$new(moby_sample) m$setXmin(7);m$setPars(2) ########################################## # The data cdf # ########################################## dist_data_cdf(m)
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