Generate T Distributed Values

Generates a set of Student's T distributed values.

r_tdist(df, ..., n = default_n(df), .seed = NULL)

Arguments

df	vector of degrees of freedom
...	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_tdist(10)
#> [1]  2.2140826  1.6408442 -0.3098129  0.3402945 -0.6886386

r_tdist(1:10)
#>  [1] -0.69300596  1.34329219  1.14882681 -0.77407169  0.03398438  0.15930033
#>  [7]  0.94094363 -0.44624802 -0.40464933 -0.19402149

r_tdist(10, n = 10)
#>  [1] -1.12826210  0.46427911 -0.70476069  1.46582240 -0.28822105 -0.27637620
#>  [7] -0.60889543 -0.86523567 -0.05853521 -0.39711420