Generate Random Sample

Generates a Sample from a set, with replacement

r_sample(sample, weights = NULL, ..., n = default_n(), .seed = NULL)

Arguments

sample	a set of values to choose from
weights	a vector of weights, must be the same length as sample, between 0 & 1
...	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 vector of length n of the same type as sample

Examples

set_n(15)

r_sample(c("blue", "red", "yellow"))
#>  [1] "red"    "blue"   "yellow" "red"    "red"    "yellow" "blue"   "blue"  
#>  [9] "red"    "red"    "red"    "red"    "red"    "red"    "red"   

r_sample(c("blue", "red", "yellow"),
  weights = c(1, 5, 1)
)
#>  [1] "blue"   "red"    "red"    "red"    "red"    "red"    "red"    "red"   
#>  [9] "yellow" "red"    "blue"   "blue"   "red"    "blue"   "red"   

r_sample(c("blue", "red", "yellow"), n = 10)
#>  [1] "blue"   "red"    "blue"   "blue"   "blue"   "yellow" "blue"   "blue"  
#>  [9] "yellow" "blue"