R : How Many is a Sufficiently Large Sample Size?

by Bing Copliot

# 필요한 패키지 불러오기
library(ggplot2)

# 자유도 값 정의
df_values <- c(5, 10, 15, 20, 25, 30)

# x 값 범위 설정
x <- seq(-4, 4, length.out = 1000)

# 데이터 프레임 생성
df <- data.frame(x = rep(x, length(df_values)),
                 density = c(sapply(df_values, function(df) dt(x, df))),
                 distribution = rep(c("t-distribution", "Normal distribution"), each = length(x)))

# 체계적인 색상 팔레트
my_palette <- c("#1f78b4", "#33a02c")

# 그림 그리기
ggplot(df, aes(x = x, y = density, color = distribution)) +
  geom_line(size = 1) +
  scale_color_manual(values = my_palette) +
  facet_wrap(~ distribution, ncol = 2, scales = "free_y") +
  labs(title = "Comparison of t-distribution and Normal distribution",
       x = "x", y = "Density") +
  theme_minimal()

kimpro82 / MyDataSciencePractice

R : How Many is a Sufficiently Large Sample Size? #30

by Bing Copliot