Distributions over time (plotting multiple distributions on the same graph in R)-CodePudding

I have datasets similar to the one represented below (though much longer) for different years. They are separate dataframes and have different number of observations, so I did not merge then. I would like to make a graph that allows me to compare the evolution of the distribution of tenure over time. So I would like to make a graph with 4 density plots for 4 reference years. How can I achieve that in R?

tenure
2
3
1
4
0.5
3
7
8
9
3
1
2.5
6
4
4.5
5

CodePudding user response：

Here is one way to do it. You can marge the dataframes by row if they have the same column types and names. Then you can easily create a plot using ggplot2

library(ggplot2)

set.seed(123)

d1 <- data.frame(year = "2010", x = rnorm(100, mean = 0.5))
d2 <- data.frame(year = "2011", x = rnorm(100, mean = 0.7))
d3 <- data.frame(year = "2012", x = rnorm(100, mean = 1.5))
d4 <- data.frame(year = "2013", x = rnorm(100, mean = 1.2))

rbind(d1,d2,d3,d4) |>
  ggplot()  
  geom_density(aes(x = x, color = year))