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Code used in demo of moderndive talk
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library(tidyverse) | |
# Install version 0.2.0.9000 or higher | |
# devtools::install_github("moderndive/moderndive") | |
library(moderndive) | |
# Chapter 8: "Virtual" sampling from a bowl of red/white balls | |
# Population: | |
bowl | |
# Sample from population: | |
bowl %>% | |
rep_sample_n(size = 50, replace = FALSE, reps = 1) | |
# Chapter 9: "Virtual" resampling from a sample of 50 pennies | |
# Sample: | |
pennies_sample_2 | |
# Resample from sample: | |
pennies_sample_2 %>% | |
rep_sample_n(size = 50, replace = TRUE, reps = 1) | |
# Chapter 10: Constructing a null distribution from scratch | |
library(infer) | |
null_distribution <- | |
# Diffs in prop'n promoted = male - female = 87.5% - 58.3% = 29.2%: | |
promotions %>% | |
# Variables of interest from data frame: | |
specify(formula = decision ~ gender, success = "promoted") %>% | |
# H0 of no difference: | |
hypothesize(null = "independence") %>% | |
# Simulate replicate data under H0: | |
generate(reps = 1000, type = "permute") %>% | |
# Summary statistic: | |
calculate(stat = "diff in props", order = c("male", "female")) | |
# Plot it! | |
ggplot(null_distribution, aes(x=stat)) + | |
geom_histogram(bins = 10) + | |
labs(x = "Diff in proportion", title = "Null distribution") + | |
geom_vline(xintercept = 0.292, col="red") |
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