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Pdqr-functions have their own methods for print() which displays function's
metadata in readable and concise form.
# S3 method for p
print(x, ...)# S3 method for d
print(x, ...)
# S3 method for q
print(x, ...)
# S3 method for r
print(x, ...)
Pdqr-function to print.
Further arguments passed to or from other methods.
Print output of pdqr-function describes the following information:
Full name of function class:
P-function is "Cumulative distribution function".
D-function is "Probability mass function" for "discrete" type and "Probability density function" for "continuous".
Q-function is "Quantile function".
R-function is "Random generation function".
Type of function in the form "of * type" where "*" is "discrete" or "continuous" depending on actual type.
Support of function.
Number of elements in distribution for "discrete" type or number of intervals of piecewise-linear density for "continuous" type.
If pdqr-function has "discrete" type and exactly two possible values 0 and
1, it is treated as "boolean" pdqr-function and probability of 1 is shown.
This is done to simplify interactive work with output of comparing functions
like >=, etc. (see description of methods for S3 group generic functions). To extract probabilities from "boolean"
pdqr-function, use summ_prob_true() and summ_prob_false().
Symbol "~" in print() output indicates that printed value or support is an
approximation to a true one (for readability purpose).
Other pdqr methods for generic functions:
methods-group-generic,
methods-plot
print(new_d(1:10, "discrete"))
r_unif <- as_r(runif, n_grid = 251)
print(r_unif)
# Printing of boolean pdqr-function
print(r_unif >= 0.3)
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