Generating a simulated dataset to represent a background can be done using the following steps:

1. Make a random dataset with the same characteristics as a given set:

library(fakeR)
fake_iris <- simulate_dataset(iris)

2. Make a vector of normal random numbers with the mean and standard deviation of a given vector:

sample_mean <- mean(iris$Sepal.Length)
sample_sd <- sd(iris$Sepal.Length)
random_sepal_lengths <- rnorm(iris$Sepal.Length, mean = sample_mean, sd = sample_sd)
hist( random_sepal_lengths)

3. Make a vector of uniform random integers in a range:

low_num <- 1
high_num <- 6
hist(runif(1500, low_num, high_num))

4. Make a vector of the number of binomial successes:

number_of_coins <- 1
p_heads <- 0.5
hist(rbinom(1500, number_of_coins, p_heads ))
number_of_coins <- 5
hist(rbinom(1500, number_of_coins, p_heads ))

5. Make a vector of random selections from a list, with a different probability for each:

random_from_list <- sample(c("Low", "Medium", "High"), 100, replace = TRUE, prob = c(0.2, 0.6, 0.2))
table(random_from_list)