View source: R/random-tidy-hypergeometric.R
tidy_hypergeometric | R Documentation |
This function will generate n
random points from a hypergeometric
distribution with a user provided, m
,nn
, and k
, and number of random
simulations to be produced. The function returns a tibble with the
simulation number column the x column which corresponds to the n randomly
generated points, the d_
, p_
and q_
data points as well.
The data is returned un-grouped.
The columns that are output are:
sim_number
The current simulation number.
x
The current value of n
for the current simulation.
y
The randomly generated data point.
dx
The x
value from the stats::density()
function.
dy
The y
value from the stats::density()
function.
p
The values from the resulting p_ function of the distribution family.
q
The values from the resulting q_ function of the distribution family.
tidy_hypergeometric(
.n = 50,
.m = 0,
.nn = 0,
.k = 0,
.num_sims = 1,
.return_tibble = TRUE
)
.n |
The number of randomly generated points you want. |
.m |
The number of white balls in the urn |
.nn |
The number of black balls in the urn |
.k |
The number of balls drawn fro the urn. |
.num_sims |
The number of randomly generated simulations you want. |
.return_tibble |
A logical value indicating whether to return the result as a tibble. Default is TRUE. |
This function uses the underlying stats::rhyper()
, and its underlying
p
, d
, and q
functions. For more information please see stats::rhyper()
A tibble of randomly generated data.
Steven P. Sanderson II, MPH
https://en.wikipedia.org/wiki/Hypergeometric_distribution
Other Discrete Distribution:
tidy_bernoulli()
,
tidy_binomial()
,
tidy_negative_binomial()
,
tidy_poisson()
,
tidy_zero_truncated_binomial()
,
tidy_zero_truncated_negative_binomial()
,
tidy_zero_truncated_poisson()
Other Hypergeometric:
util_hypergeometric_param_estimate()
,
util_hypergeometric_stats_tbl()
tidy_hypergeometric()
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