This function will generate n
random points from a cauchy
distribution with a user provided, .location
, .scale
, 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.
- .location
The location parameter.
- .scale
The scale parameter, must be greater than or equal to 0.
- .num_sims
The number of randomly generated simulations you want.
Details
This function uses the underlying stats::rcauchy()
, and its underlying
p
, d
, and q
functions. For more information please see stats::rcauchy()
See also
https://www.itl.nist.gov/div898/handbook/eda/section3/eda3663.htm
Other Continuous Distribution:
tidy_beta()
,
tidy_burr()
,
tidy_chisquare()
,
tidy_exponential()
,
tidy_f()
,
tidy_gamma()
,
tidy_generalized_beta()
,
tidy_generalized_pareto()
,
tidy_geometric()
,
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_pareto1()
,
tidy_pareto()
,
tidy_t()
,
tidy_uniform()
,
tidy_weibull()
,
tidy_zero_truncated_geometric()
Other Cauchy:
util_cauchy_param_estimate()
,
util_cauchy_stats_tbl()
Examples
tidy_cauchy()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 -6.24 -14.2 3.62e- 4 0.0506 -6.24
#> 2 1 2 0.704 -6.65 1.39e- 2 0.695 0.704
#> 3 1 3 -0.725 0.889 1.60e- 1 0.300 -0.725
#> 4 1 4 -0.252 8.43 8.92e- 3 0.421 -0.252
#> 5 1 5 -0.0797 16.0 0 0.475 -0.0797
#> 6 1 6 -0.850 23.5 7.70e-12 0.276 -0.850
#> 7 1 7 -5.13 31.0 5.06e- 5 0.0613 -5.13
#> 8 1 8 0.360 38.6 0 0.610 0.360
#> 9 1 9 -2.74 46.1 0 0.111 -2.74
#> 10 1 10 -1.57 53.6 1.35e-19 0.180 -1.57
#> # ℹ 40 more rows