R programming: Monte Carlo Simulation

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

Feb 19, 2019 in Data Analytics by Sophie may
• 9,940 points
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1 answer to this question.

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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.

answered Feb 19, 2019 by Tyrion anex
• 8,380 points

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