| tidy_f {TidyDensity} | R Documentation | 
Tidy Randomly Generated F Distribution Tibble
Description
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_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. 
Usage
tidy_f(
  .n = 50,
  .df1 = 1,
  .df2 = 1,
  .ncp = 0,
  .num_sims = 1,
  .return_tibble = TRUE
)
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.  | 
.return_tibble | 
 A logical value indicating whether to return the result as a tibble. Default is TRUE.  | 
Details
This function uses the underlying stats::rf(), and its underlying
p, d, and q functions. For more information please see stats::rf()
Value
A tibble of randomly generated data.
Author(s)
Steven P. Sanderson II, MPH
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_pareto(),
tidy_pareto1(),
tidy_t(),
tidy_triangular(),
tidy_uniform(),
tidy_weibull(),
tidy_zero_truncated_geometric()
Other F Distribution: 
util_f_param_estimate(),
util_f_stats_tbl()
Examples
tidy_f()