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rasmusab/bowling-t-test.R

Created February 20, 2023 16:45
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A much improved bowling T-test in R
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bowling-t-test.R
bowling_animation_urls <- c(
"0.01" = "https://i.imgur.com/Kn8CQbj.gif",
"0.05" = "https://i.imgur.com/HFTKdDL.gif",
"0.1" = "https://i.imgur.com/8Sw54Mz.gif",
"1" = "https://i.imgur.com/kjROdhj.gif"
)
# We need to download the animations to the session temp dirercorty to display
# them in the Rstudio Viever pane
bowling_animation_html <- sapply(bowling_animation_urls, function(url) {
animation_path = tempfile(pattern = "bowling_animation", fileext = ".gif")
download.file(url, animation_path)
html_path = tempfile(pattern = "bowling_animation", fileext = ".html")
html <- paste0(
'<html><body><img src="',
basename(animation_path) ,
'" style="width: 100%;height: auto;"/></body></html>'
)
writeLines(html, html_path)
html_path
})
# A much improved t.test function
bowling.t.test <- function(...) {
test_result <- t.test(...)
selected_animation_html <- bowling_animation_html[
test_result$p.value < as.numeric(names(bowling_animation_urls))
][1]
rstudioapi::viewer(selected_animation_html)
test_result
}
set.seed(123)
y1 = rnorm(30, mean = 2)
y2 = rnorm(30)
# A successful experiment, we're great scientists.
bowling.t.test(y1, y2)
set.seed(123)
y1 = rnorm(30, mean = 0.7)
y2 = rnorm(30)
# Oh, that was close, but we're still great scientists.
bowling.t.test(y1, y2)
set.seed(123)
y1 = rnorm(30, mean = 0.65)
y2 = rnorm(30)
# What bad luck! Let's say it's trending towards significance maybe?
bowling.t.test(y1, y2)
set.seed(123)
y1 = rnorm(30, mean = 0.5)
y2 = rnorm(30)
# What are we even doing with our lives...
bowling.t.test(y1, y2)
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