knitr::opts_chunk$set(echo = TRUE)
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#example data frams library(tibble) all_sim_data <- tibble c1 <- c(2,-3,2,2,-3) c2 <- c(2,0,-1,-1,0) c3 <- c(0,0,+1,-1,0) c4 <- c(0,+1,0,0,-1)
rbinom(1,20,.05) ?rbinom
A <- replicate(10000, sum(rbinom(20, 1, .05))) hist(A) length(A[A> 0])/10000
A <- replicate(10000, sum(rbinom(20, 1, .05))) hist(A) length(A[A> 0])/10000 A<-rbinom(10000, 20, .05) A <-rbinom(10000, 50, .05) #length(A[A > 0])/10000))
t_results <- replicate(1000, t.test(rnorm(10, 0, 1), rnorm(10, 0, 1), var.equal= TRUE)$p.value) hist(t_results)
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