如何在R中绘制互补累积分布函数（CCDF）（最好在ggplot中）？

以下是我的代码和输出（CDF）：

install.packages（“ggplot2”）
图书馆（GG2）
chol您可以使用
ggplot\u build
提取用于绘图的数据，然后对其进行修改：

p  <- ggplot(df, aes(x)) + stat_ecdf()
pg <- ggplot_build(p)$data[[1]]
ggplot(pg, aes(x = x, y = 1-y )) + geom_step()

p您也可以一步一步地执行以下操作：

# load data
  chol <- read.table(url("http://assets.datacamp.com/blog_assets/chol.txt"), header = TRUE)


# get the ecdf - Empirical Cumulative Distribution Function of v
  my_ecdf <- ecdf( chol$AGE )

# now put the ecdf and its complementary in a data.frame
  df <- data.frame( x = sort(chol$AGE),
                    y = 1-my_ecdf(sort(chol$AGE) ))

# plot
  ggplot(data=df, aes(x, y) ) +
    geom_line() +
    geom_point(color="red")

#加载数据
胆固醇
# load data
  chol <- read.table(url("http://assets.datacamp.com/blog_assets/chol.txt"), header = TRUE)


# get the ecdf - Empirical Cumulative Distribution Function of v
  my_ecdf <- ecdf( chol$AGE )

# now put the ecdf and its complementary in a data.frame
  df <- data.frame( x = sort(chol$AGE),
                    y = 1-my_ecdf(sort(chol$AGE) ))

# plot
  ggplot(data=df, aes(x, y) ) +
    geom_line() +
    geom_point(color="red")