Generate Chi-Squared Distributed Values

Source: R/built_in_distributions.R

Generates a set of Chi-Squared distributed values.

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

Arguments

df

degrees of freedom, 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_chisq(10)

#> [1]  5.737369 10.713310  3.847531  8.323055 21.285822

r_chisq(1:10)

#>  [1]  3.02373135  0.04336593  1.55135964  7.92908276  5.30589580  5.39357952
#>  [7]  2.70534552 18.06687050  8.15473930  7.55150645

r_chisq(10, n = 10)

#>  [1] 10.775293 10.150699 20.021060  7.202403 11.330275  8.568691  9.729134
#>  [8] 10.042841 10.030551  7.934222