Tidy Randomly Generated Binomial Distribution Tibble
Source:R/random-tidy-binomial.R
tidy_binomial.Rd
This function will generate n
random points from a binomial
distribution with a user provided, .size
, .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.
Arguments
- .n
The number of randomly generated points you want.
- .size
Number of trials, zero or more.
- .prob
Probability of success on each trial.
- .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 underlying stats::rbinom()
, and its underlying
p
, d
, and q
functions. For more information please see stats::rbinom()
See also
https://www.itl.nist.gov/div898/handbook/eda/section3/eda366i.htm
Other Discrete Distribution:
tidy_bernoulli()
,
tidy_hypergeometric()
,
tidy_negative_binomial()
,
tidy_poisson()
,
tidy_zero_truncated_binomial()
,
tidy_zero_truncated_negative_binomial()
,
tidy_zero_truncated_poisson()
Other Binomial:
tidy_negative_binomial()
,
tidy_zero_truncated_binomial()
,
tidy_zero_truncated_negative_binomial()
,
util_binomial_param_estimate()
,
util_binomial_stats_tbl()
,
util_negative_binomial_param_estimate()
,
util_zero_truncated_binomial_param_estimate()
,
util_zero_truncated_binomial_stats_tbl()
,
util_zero_truncated_negative_binomial_param_estimate()
,
util_zero_truncated_negative_binomial_stats_tbl()
Examples
tidy_binomial()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <int> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 0 -1.23 0.0109 1 0
#> 2 1 2 0 -1.18 0.0156 1 0
#> 3 1 3 0 -1.13 0.0220 1 0
#> 4 1 4 0 -1.08 0.0305 1 0
#> 5 1 5 0 -1.03 0.0418 1 0
#> 6 1 6 0 -0.983 0.0564 1 0
#> 7 1 7 0 -0.932 0.0749 1 0
#> 8 1 8 0 -0.882 0.0981 1 0
#> 9 1 9 0 -0.832 0.126 1 0
#> 10 1 10 0 -0.781 0.161 1 0
#> # ℹ 40 more rows