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_numberThe current simulation number.xThe current value ofnfor the current simulation.yThe randomly generated data point.dxThexvalue from thestats::density()function.dyTheyvalue from thestats::density()function.pThe values from the resulting p_ function of the distribution family.qThe 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 -0.0479 -13.4 0.000151 0.485 -0.0479
#> 2 1 2 0.978 -12.2 0.00725 0.746 0.978
#> 3 1 3 -7.80 -11.0 0.00856 0.0406 -7.80
#> 4 1 4 -1.10 -9.75 0.000438 0.235 -1.10
#> 5 1 5 -2.24 -8.52 0.0136 0.134 -2.24
#> 6 1 6 -1.66 -7.30 0.0323 0.173 -1.66
#> 7 1 7 1.83 -6.07 0.0122 0.841 1.83
#> 8 1 8 17.0 -4.85 0.00694 0.981 17.0
#> 9 1 9 -1.31 -3.63 0.00835 0.208 -1.31
#> 10 1 10 -0.780 -2.40 0.0546 0.289 -0.780
#> # ℹ 40 more rows
