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| library(magick) | |
| library(purrr) | |
| library(ggplot2) | |
| # Define variables | |
| FRAMES <- 30 | |
| MEAN1 <- 0 # Mean of the first group | |
| MEAN2 <- 0.2 # Mean of the second group | |
| FROM <- 2 | |
| TO <- 1500 | |
| set.seed(1) | |
| images_list <- seq(FROM, TO, length.out = FRAMES) |> | |
| map(\(n) { | |
| n <- as.integer(n) | |
| data1 <- rnorm(n, mean = MEAN1, sd = 1) | |
| data2 <- rnorm(n, mean = MEAN2, sd = 1) | |
| t_test <- t.test(data1, data2) | |
| p_value <- t_test$p.value | |
| plot_data <- data.frame( | |
| value = c(data1, data2), | |
| group = factor(rep(c("Normal(0, 1)", "Normal(0.2, 1)"), each = n)) | |
| ) | |
| img <- image_graph(600, 400, res = 96) | |
| plot <- ggplot(plot_data, aes(x = value, fill = group)) + | |
| geom_density(alpha = 0.3) + | |
| labs( | |
| title = "Comparison of Means", | |
| subtitle = paste0("T-test p-value: ", round(p_value, 4), " (n = ", n, ")"), | |
| x = "Value", | |
| y = "Density", | |
| fill = "" | |
| ) + | |
| scale_fill_manual(values = c("blue", "red")) + | |
| theme_bw() + | |
| theme(legend.position = "top") | |
| print(plot) | |
| dev.off() | |
| img | |
| }) | |
| animation <- image_animate(image_join(images_list), delay = 200, optimize = TRUE, loop = 0) | |
| print(animation) | |
| image_write(animation, "T_Test_Comparison.gif") |
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