Tidy Randomly Generated Geometric Distribution Tibble
Source:R/random-tidy-geom.R
tidy_geometric.Rd
This function will generate n
random points from a geometric
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.
Arguments
- .n
The number of randomly generated points you want.
- .prob
A probability of success in each trial 0 < prob <= 1.
- .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::rgeom()
, and its underlying
p
, d
, and q
functions. For more information please see stats::rgeom()
See also
https://en.wikipedia.org/wiki/Geometric_distribution
Other Continuous Distribution:
tidy_beta()
,
tidy_burr()
,
tidy_cauchy()
,
tidy_chisquare()
,
tidy_exponential()
,
tidy_f()
,
tidy_gamma()
,
tidy_generalized_beta()
,
tidy_generalized_pareto()
,
tidy_inverse_burr()
,
tidy_inverse_exponential()
,
tidy_inverse_gamma()
,
tidy_inverse_normal()
,
tidy_inverse_pareto()
,
tidy_inverse_weibull()
,
tidy_logistic()
,
tidy_lognormal()
,
tidy_normal()
,
tidy_paralogistic()
,
tidy_pareto()
,
tidy_pareto1()
,
tidy_t()
,
tidy_triangular()
,
tidy_uniform()
,
tidy_weibull()
,
tidy_zero_truncated_geometric()
Other Geometric:
tidy_zero_truncated_geometric()
,
util_geometric_param_estimate()
,
util_geometric_stats_tbl()
Examples
tidy_geometric()
#> # 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