Generate a data frame of pseudo-random numbers using the MLS Junk Generator algorithm

Based on user input seeds, this function generates a data frame of n pseudo-random numbers and names the column containing these as "RN" for "random numbers." This is achieved by calling junkgen.

mlsjunkgend(n = 1, w, x, y, z, round = 5)

Arguments

n	the number of pseudo-random numbers to generate; defaults to 1
w	the first seed required by the MLS Junk Generator algorithm
x	the first seed required by the MLS Junk Generator algorithm
y	the first seed required by the MLS Junk Generator algorithm
z	the first seed required by the MLS Junk Generator algorithm
round	the number of decimal places to which to round the pseudo-random numbers; default = 5

Value

A numeric vector containing a single pseudo-random number

Examples

# Generate a pseudo-random number data frame with 10 observations from user-specified seeds

w <- 1
x <- 2
y <- 3
z <- 4

mlsjunkgend(n = 10, w = w, x = x, y = y, z = z) # returns a data frame of 10 observations
#>         RN
#> 1  0.95516
#> 2  0.66908
#> 3  0.21235
#> 4  0.34488
#> 5  0.11995
#> 6  0.56398
#> 7  0.59235
#> 8  0.11432
#> 9  0.33525
#> 10 0.70271

# Specifying different values for n and round

mlsjunkgend(n = 5, w = w, x = x, y = y, z = z, round = 2)
#>     RN
#> 1 0.96
#> 2 0.67
#> 3 0.21
#> 4 0.34
#> 5 0.12
# returns a data frame identical to the above example but with only 5 observations
# rounded to 2 decimal places

# using the default value of n (1) is identical to assigning the rounded result of
# junkgen to a data frame of 1 observation

round(junkgen(w = w, x = x, y = y, z = z), 5) # returns "[1] 0.95516"
#> [1] 0.95516
mlsjunkgend(w = w, x = x, y = y, z = z)
#>        RN
#> 1 0.95516
# returns the following:
#        RN
# 1 0.95516