Generate Cauchy Distributed Values — r

Generates a set of Cauchy distributed values.

r_cauchy(
  location = 0,
  scale = 1,
  ...,
  n = default_n(location, scale),
  .seed = NULL
)

Arguments

location	vector of locations
scale	vector of scales, strictly positive
...	Unused
n	number of observations to generate. The `default_n()` function will provide a default value within context
.seed	One of the following: NULL (default) will not change the current seed. This is the usual case for generating random numbers. A numeric value. This will be used to set the seed before generating the random numbers. This seed will be stored with the results. TRUE. A random seed value will be generated and set as the seed before the results are generated. Again, this will be stored with the results. To extract the random seed from a previously generated set of values, use `pull_seed()`

Value

A numeric vector of length n

Examples


set_n(5)

r_cauchy(10)
#> [1] 10.259588  8.125346  6.986990  8.139630 11.682659

r_cauchy(1:10)
#>  [1] 0.9354268 0.7532907 2.5770374 3.9474360 5.8196961 4.2407836 9.7657158
#>  [8] 8.1457319 6.4009626 6.8713938

r_cauchy(10, 2)
#> [1]  16.638409   9.046009 -25.968454   9.869713  10.107015

r_cauchy(10, 2, n = 10)
#>  [1]   6.700287  14.672785   9.473142   6.803808   6.497526   8.074509
#>  [7]  -4.771566  11.869725 -61.563382  17.520560