ggplot2에서 요인 수준 설정

Question

안녕하세요, 내 플롯에서 geom_segment를 열별로 정렬하려면 도움이 필요합니다 end_scaffold.

다음은 다음 플롯을 생성하는 데 사용한 코드입니다.

library(ggplot2)
#Here I try to sort the data in order to get geom_segment sorted in the plot but it does not work 
tab<-tab[with(tab, order(-end_scaff,-end_gene)), ] 


ggplot(tab, aes(x = start_scaff, xend = end_scaff, 
                y = molecule, yend = molecule)) +
  geom_segment(size = 3, col = "grey80") +
  geom_segment(aes(x = ifelse(direction == 1, start_gene, end_gene),
                   xend = ifelse(direction == 1, end_gene, start_gene)),
               data = tab, 
               arrow = arrow(length = unit(0.1, "inches")), size = 2) +
  geom_text(aes(x = start_gene, y = molecule, label = gene),
            data = tab, nudge_y = 0.2) + 
  scale_y_discrete(limits = rev(levels(tab$molecule))) +
  theme_minimal()

누군가 geom_segment열 end_scaffold(내림차순) 으로 정렬하기 위해 아이디어가 있습니까? ( scaffold_1254플롯의 상단에 있어야 scaffold_74038하고 하단에 있어야 함).

여기에 데이터가 있습니다

> dput(tab)
structure(list(molecule = structure(c(2L, 6L, 6L, 3L, 7L, 4L, 
5L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
1L), .Label = c("", "scaffold_1254", "scaffold_15158", "scaffold_7180", 
"scaffold_74038", "scaffold_7638", "scaffold_8315"), class = "factor"), 
    gene = structure(c(8L, 6L, 5L, 3L, 7L, 4L, 2L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("", 
    "G1", "G2", "G3", "G4", "G5", "G6", "G7"), class = "factor"), 
    start_gene = c(6708L, 9567L, 3456L, 10105L, 2760L, 9814L, 
    1476L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA), end_gene = c(11967L, 10665L, 4479L, 10609L, 
    3849L, 10132L, 2010L, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA), start_scaff = c(1L, 1L, 
    1L, 1L, 1L, 1L, 1L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA), end_scaff = c(20072, 15336, 
    15336, 13487, 10827, 10155, 2010, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), strand = structure(c(2L, 
    2L, 3L, 2L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), .Label = c("", "backward", 
    "forward"), class = "factor"), direction = c(-1L, -1L, 1L, 
    -1L, 1L, -1L, 1L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA)), row.names = c(7L, 5L, 4L, 2L, 
6L, 3L, 1L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 
19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 
32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L), class = "data.frame")

Answer 1

솔루션 내부의 ggplot를 들어 당신은 제거 할 수 있습니다 limits받는 사람 scale_y_discrete(이 요인의 수준에 따라 재정렬 것) 사용 y = reorder(molecule, end_scaff)내부 aes:

library(dplyr)
library(ggplot2)

tab <- tab %>% filter(!is.na(start_gene))

ggplot(tab, aes(x = start_scaff, xend = end_scaff, 
               y = reorder(molecule, end_scaff), yend = molecule)) +
  geom_segment(size = 3, col = "grey80") +
  geom_segment(aes(x = ifelse(direction == 1, start_gene, end_gene),xend = ifelse(direction == 1, end_gene, start_gene)),
               arrow = arrow(length = unit(0.1, "inches")), size = 2) +
  geom_text(aes(x = start_gene, y = molecule, label = gene), nudge_y = 0.2) + 
  scale_y_discrete() +
  theme_minimal()

^{reprex 패키지 (v0.3.0)에 의해 2020-09-04에 생성됨}

Answer 2

트릭은 전체 data.frame이 아닌의 수준 을 재정렬하는 것 입니다 molecule. 대신에

tab <- tab[with(tab, order(-end_scaff,-end_gene)), ]

운영

i <- with(tab, order(-end_scaff,-end_gene))
mol <- unique(tab$molecule[i]) tab$molecule <- factor(tab$molecule, levels = mol)

동일한 플로팅 코드가 이제 다음 그래프를 생성합니다.