R programming Monte Carlo Simulation

Question

I'm trying to implement Monte Carlo Simulation to sample out 50 instances of iris data. Any help would be appreciated.

Answer 1

You can use the sample_n from dplyr to select 50 rows with replacement.

# Set seed for reproducibility
set.seed(12800)

library(dplyr)
library(purrr)

iris_sub <- iris %>% sample_n(size = 50, replace = TRUE)

Hope this helps.