我尝试使用值的密度来举例说明 1R 和 2R。
库
library(tidyverse)
数据
df <-
structure(list(`1R` = c(0.52065235, 0.454407916, 0.382303251,
0.391933965, 0.386122039, 0.382303251, 0.391933965, 0.382303251,
0.376475342, 0.424794009, 0.428951127, 0.439056177, 0.376475342,
0.376475342, 0.406675365, 0.308530057, 0.271168123, 0.037713343,
0.119157154, 0.298611542, 0.029875178, 0.073805877, 0.088483911,
0.214084119, 0.018731476, 0.15214185, 0.408674503, 0.382303251,
0.391933965, 0.42442224, 0.501227717, 0.391933965, 0.382303251,
0.391933965, 0.391933965, 0.382303251, 0.382303251, 0.382303251,
0.391933965, 0.391933965, 0.391933965, NA, NA, NA, NA),
`2R` = c(1.654094057,
1.654094057, 1.654094057, 1.654094057, 1.654094057, 1.654094057,
1.654094057, 1.654094057, 1.654094057, 1.654094057, 1.654094057,
1.654094057, 1.654094057, 1.654094057, 1.866104207, 1.889711342,
1.56723193, 1.723571083, 1.723571083, 1.723571083, 1.723571083,
1.723571083, 1.723571083, 1.958552936, 1.488851935, 1.30784867,
1.266307071, 1.172478307, 1.219163761, 1.209873388, 1.806941395,
1.181518902, 1.181518902, 1.163574729, 1.1416133, 1.175491771,
1.11782868, 0.943104661, 0.799804258, 0.838634766, 1.126341411,
1.141790756, 1.945580292, 1.708711004, 1.594182435)),
row.names = c(NA,-45L), class = c("tbl_df", "tbl", "data.frame"))
代码
df %>%
pivot_longer(cols = everything()) %>%
ggplot(aes(value))+
geom_density()+
facet_grid(~name,scales = "free")+
geom_rug()
情节