R ggplot2-使用多个数据帧排序图例
我有一个图形,有一个几何线图和两个几何点图。geom_线有一个组变量。把所有的东西放在一个图例中,我无法得到一个合乎逻辑的顺序R ggplot2-使用多个数据帧排序图例,r,ggplot2,R,Ggplot2,我有一个图形,有一个几何线图和两个几何点图。geom_线有一个组变量。把所有的东西放在一个图例中,我无法得到一个合乎逻辑的顺序 library(ggplot2) date.full <- as.Date(c("2016-10-1", "2016-12-13", "2017-1-1", "2017-2-15", "2016-10-1", "2017-2-15")) cust.full &l
library(ggplot2)
date.full <- as.Date(c("2016-10-1", "2016-12-13",
"2017-1-1", "2017-2-15",
"2016-10-1", "2017-2-15"))
cust.full <- c(1,1, 2,2, 3,3)
##Half Season
date.half <- as.Date(c("2016-10-1", "2016-11-13",
"2016-10-1", "2017-2-15",
"2016-10-1", "2017-2-1"))
cust.half <- c(4,4,5,5,6,6)
##Contacts
contact.date <- as.Date(c("2016-11-1", "2016-10-13", "2017-1-1", "2016-12-2",
"2016-11-4", "2016-11-3", "2016-11-5"))
contact.cust <- c(4,3,2,1, 6, 6, 6)
video.date <- as.Date(c("2016-12-1", "2016-11-13","2016-12-1", "2016-11-2",
"2016-11-2", "2016-11-3"))
video.cust <- c(1,3,3,4,6, 6)
life.span <- data.frame(date.full,cust.full, date.half, cust.half)
video.events <- data.frame(video.date, video.cust)
contact.events <- data.frame(contact.date, contact.cust)
##Create graph
p <- ggplot(life.span) +
geom_line(aes(x= date.full, y=cust.full, group=cust.full, colour = "Full"))+
geom_line(aes(x= date.half, y=cust.half, group=cust.half, colour = "Half")) +
geom_point(data=contact.events, aes(x=contact.date, y=contact.cust, colour = "Contact")) +
geom_point(data=video.events,aes(x=video.date, y=video.cust, colour="Video"), shape=2) +
xlab('Date') + ylab('Customer') +
ggtitle('Illustrative Hypothetical Customers') +
scale_colour_discrete("Previous")+
guides(shape = FALSE,
colour = guide_legend(override.aes = list(shape = c(16, NA, NA, 17),
linetype = c("blank","solid","solid", "blank"),
labels= c("a","b","c","d")
)))
p
库(ggplot2)
date.full通过组合数据,您可以使用自定义排序因子,并且代码更少:
line1 <- data.frame(date = date.full, cust = cust.full, group=cust.full, type = 'full', line = 1, point = NA)
line2 <- data.frame(date = date.half, cust = cust.half, group=cust.half, type = 'half', line = 1, point = NA)
lines <- rbind(line1,line2)
points1 <- data.frame(date = video.date, cust=video.cust, group=video.cust+10, type = 'video', line = NA, point = 2)
points2 <- data.frame(date = contact.date, cust=contact.cust, group=contact.cust+20, type='contact', line = NA, point = 1)
points <- rbind(points1, points2)
dat <- rbind(lines, points)
dat$type <- factor(dat$type, levels = c("full", "half", "contact", "video"))
p <- ggplot(dat, aes(x = date, y = cust, group = group, colour = type, linetype=factor(line), shape=factor(point))) +
geom_line() +
geom_point() +
guides(shape = FALSE, linetype = FALSE,
colour = guide_legend(override.aes = list(shape = c(NA, NA, 16, 17),
linetype = c("solid","solid","blank", "blank"),
labels= c("a","b","c","d")
)))
p
谢谢您。线型=线条是我不知道的一个想法。要学的东西很多。
> dat
date cust group type line point
1 2016-10-01 1 1 full 1 NA
2 2016-12-13 1 1 full 1 NA
3 2017-01-01 2 2 full 1 NA
4 2017-02-15 2 2 full 1 NA
5 2016-10-01 3 3 full 1 NA
6 2017-02-15 3 3 full 1 NA
7 2016-10-01 4 4 half 1 NA
8 2016-11-13 4 4 half 1 NA
9 2016-10-01 5 5 half 1 NA
10 2017-02-15 5 5 half 1 NA
11 2016-10-01 6 6 half 1 NA
12 2017-02-01 6 6 half 1 NA
13 2016-12-01 1 11 video NA 2
14 2016-11-13 3 13 video NA 2
15 2016-12-01 3 13 video NA 2
16 2016-11-02 4 14 video NA 2
17 2016-11-02 6 16 video NA 2
18 2016-11-03 6 16 video NA 2
19 2016-11-01 4 24 contact NA 1
20 2016-10-13 3 23 contact NA 1
21 2017-01-01 2 22 contact NA 1
22 2016-12-02 1 21 contact NA 1
23 2016-11-04 6 26 contact NA 1
24 2016-11-03 6 26 contact NA 1
25 2016-11-05 6 26 contact NA 1