This function will generate n
random points from a rt
distribution with a user provided, df
, 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.
- .df
Degrees of freedom, Inf is allowed.
- .ncp
Non-centrality parameter.
- .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::rt()
, and its underlying
p
, d
, and q
functions. For more information please see stats::rt()
See also
https://www.itl.nist.gov/div898/handbook/eda/section3/eda3664.htm
Other Continuous Distribution:
tidy_beta()
,
tidy_burr()
,
tidy_cauchy()
,
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_pareto()
,
tidy_pareto1()
,
tidy_triangular()
,
tidy_uniform()
,
tidy_weibull()
,
tidy_zero_truncated_geometric()
Other T Distribution:
util_t_stats_tbl()
Examples
tidy_t()
#> # A tibble: 50 × 7
#> sim_number x y dx dy p q
#> <fct> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 1 -0.844 -5.85 1.22e- 3 0.277 -0.844
#> 2 1 2 -0.0824 -1.00 1.46e- 1 0.474 -0.0824
#> 3 1 3 2.83 3.84 4.17e- 2 0.892 2.83
#> 4 1 4 1.33 8.69 0 0.795 1.33
#> 5 1 5 1.44 13.5 3.33e-19 0.807 1.44
#> 6 1 6 0.167 18.4 0 0.553 0.167
#> 7 1 7 3.72 23.2 1.76e-19 0.916 3.72
#> 8 1 8 -1.01 28.1 1.18e-19 0.249 -1.01
#> 9 1 9 -0.790 32.9 0 0.287 -0.790
#> 10 1 10 -0.662 37.8 7.26e-19 0.314 -0.662
#> # ℹ 40 more rows