This function will generate n
random points from a rf
distribution with a user provided, df1
,df2
, and ncp
, 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.
- .df1
Degrees of freedom, Inf is allowed.
- .df2
Degrees of freedom, Inf is allowed.
- .ncp
Non-centrality parameter.
- .num_sims
The number of randomly generated simulations you want.
Details
This function uses the underlying stats::rf()
, and its underlying
p
, d
, and q
functions. For more information please see stats::rf()
See also
https://www.itl.nist.gov/div898/handbook/eda/section3/eda3665.htm
Other Continuous Distribution:
tidy_beta()
,
tidy_burr()
,
tidy_cauchy()
,
tidy_chisquare()
,
tidy_exponential()
,
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 F Distribution:
util_f_stats_tbl()
Examples
tidy_f()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 0.0727 -8.38 1.04e- 1 0.168 0.0727
#> 2 1 2 4.13 1756. 1.09e-19 0.709 4.13
#> 3 1 3 0.180 3521. 7.09e- 4 0.255 0.180
#> 4 1 4 0.0173 5285. 1.83e-19 0.0833 0.0173
#> 5 1 5 10.3 7050. 0 0.807 10.3
#> 6 1 6 0.153 8814. 0 0.238 0.153
#> 7 1 7 1.55 10579. 3.50e-20 0.569 1.55
#> 8 1 8 0.627 12343. 6.75e-21 0.426 0.627
#> 9 1 9 9.84 14108. 4.45e-19 0.804 9.84
#> 10 1 10 0.0231 15872. 0 0.0960 0.0231
#> # ℹ 40 more rows