Consider the previous question. Verify this result via simulation study using a grid of λ∈{0.5,1,1.5,2} with 10,000 replications per λ. Plot the simulated densities with the analytic densities superimposed. Render your solution to Rpubs and submit a link for this question.
library(tidyverse)
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library(patchwork)set.seed(123)lambda_grid <-c(0.5, 1, 1.5, 2)n_sim <-10000sim_df <-map_dfr(lambda_grid, function(lam) { X <-rexp(n_sim, rate = lam) Y <-rexp(n_sim, rate = lam) U <- X + Ydata.frame(U = U, lambda = lam)})plots <-map(lambda_grid, function(lam) {ggplot(sim_df %>%filter(lambda == lam)) +geom_histogram(aes(x = U, y =after_stat(density)),bins =50,fill ='lightblue',color ='black') +stat_function(fun =function(u) dgamma(u, shape =2, rate = lam),color ='red', size =1) +labs(title =paste0("lambda = ", lam),x ="U = X + Y", y ="Density") +theme_classic(base_size =14)})
Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
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