This R tutorial describes how to create an ECDF plot (or Empirical Cumulative Density Function) using R software and ggplot2 package. ECDF reports for any given number the percent of individuals that are below that threshold.
The function stat_ecdf() can be used.
Create some data
set.seed(1234) df <- data.frame(height = round(rnorm(200, mean=60, sd=15))) head(df)
## height ## 1 42 ## 2 64 ## 3 76 ## 4 25 ## 5 66 ## 6 68
library(ggplot2) ggplot(df, aes(height)) + stat_ecdf(geom = "point") ggplot(df, aes(height)) + stat_ecdf(geom = "step")
For any value, say, height = 50, you can see that about 25% of our individuals are shorter than 50 inches
Customized ECDF plots
# Basic ECDF plot ggplot(df, aes(height)) + stat_ecdf(geom = "step")+ labs(title="Empirical Cumulative \n Density Function", y = "F(height)", x="Height in inch")+ theme_classic()
This analysis has been performed using R software (ver. 3.2.4) and ggplot2 (ver. 2.1.0)
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