tidy_bernoulli {TidyDensity} | R Documentation |
Tidy Randomly Generated Bernoulli Distribution Tibble
Description
This function will generate n
random points from a Bernoulli
distribution with a user provided, .prob
, 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 ofn
for the current simulation. -
y
The randomly generated data point. -
dx
Thex
value from thestats::density()
function. -
dy
They
value from thestats::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.
Usage
tidy_bernoulli(.n = 50, .prob = 0.1, .num_sims = 1, .return_tibble = TRUE)
Arguments
.n |
The number of randomly generated points you want. |
.prob |
The probability of success/failure. |
.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. |
Details
This function uses the rbinom()
, and its underlying
p
, d
, and q
functions. The Bernoulli distribution is a special case
of the Binomial distribution with size = 1
hence this is why the binom
functions are used and set to size = 1.
Value
A tibble of randomly generated data.
Author(s)
Steven P. Sanderson II, MPH
See Also
https://en.wikipedia.org/wiki/Bernoulli_distribution
Other Discrete Distribution:
tidy_binomial()
,
tidy_hypergeometric()
,
tidy_negative_binomial()
,
tidy_poisson()
,
tidy_zero_truncated_binomial()
,
tidy_zero_truncated_negative_binomial()
,
tidy_zero_truncated_poisson()
Other Bernoulli:
util_bernoulli_param_estimate()
,
util_bernoulli_stats_tbl()
Examples
tidy_bernoulli()