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.
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_pareto1()
,
tidy_pareto()
,
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 0.988 -15.6 2.00e- 4 0.748 0.988
#> 2 1 2 0.922 -14.8 7.85e- 3 0.737 0.922
#> 3 1 3 -2.52 -14.0 1.52e- 2 0.120 -2.52
#> 4 1 4 0.536 -13.2 1.48e- 3 0.657 0.536
#> 5 1 5 22.6 -12.4 6.92e- 6 0.986 22.6
#> 6 1 6 -5.46 -11.6 1.83e- 9 0.0576 -5.46
#> 7 1 7 -0.410 -10.7 1.96e-14 0.376 -0.410
#> 8 1 8 1.74 -9.94 9.86e-14 0.834 1.74
#> 9 1 9 -0.207 -9.13 5.60e- 9 0.435 -0.207
#> 10 1 10 0.625 -8.32 1.63e- 5 0.678 0.625
#> # ℹ 40 more rows