我的问题与此question密切相关,但是是后续行动,并非重复。我的绘图问题与postion_dodge()
和geom_line()
一起使用。
数据:
Behaviour Repeatability UCI LCI Age stage
Activity 0.1890000 0.2470000 0.1600000 PE A
Activity 0.5500000 0.7100000 0.3900000 PW B
Activity 0.5100000 0.6300000 0.4000000 A D
Activity 0.4100000 NA NA A2 D #NAs are real & important
Activity 0.4229638 0.4561744 0.3854906 A1 D
Activity 0.4660000 0.5910000 0.2320000 PW2 B
Activity 0.1812492 0.2111999 0.1522250 CY C
Aggression 0.2620000 0.3030000 0.1960000 PE A
Aggression 0.3700000 0.3800000 0.3600000 PW B
Aggression 0.4400000 0.5600000 0.3300000 A D
Aggression 0.3740000 NA NA A2 D #NAs are real & important
Aggression 0.3212115 0.3471766 0.2801818 A1 D
Aggression 0.0461000 0.0995000 0.0158000 PW2 B
Aggression 0.5106432 0.5635857 0.4634950 CY C
仅相关的
ggplot
代码:pd <- position_dodge(0.3)
my_colors <-
tibble(color = c("orange", "black", "red", "black", "black", "pink", "black"),
Age = c("A","A1","A2", "CY", "PE","PW", "PW2"))
ggplot(rep, aes(x = stage, y = Repeatability, shape = Behaviour, colour=Age)) +
geom_point(
position = position_dodge(width = 0.3),
size = 3) +
geom_line(
aes(group=Behaviour),
position = position_dodge(width = 0.3),
data = function(x) inner_join(x, my_colors %>% filter(color == 'black')))+
scale_colour_manual(
values = c("orange", "black", "red", "black", "black", "pink", "black"),
name = "Study",
breaks=c("A","A1","A2", "CY", "PE","PW", "PW2"))+
geom_errorbar(
aes(ymin=LCI, ymax=UCI),
position=pd,
width=0.1,
size=0.5)
这是我得到的情节:
如何移动
geom_line()
,使其通过黑点? (而不是介于黑色和粉红色的点之间。)我在
position = position_dodge(width = 0.3)
和geom_point()
代码中都包含了geom_line()
参数,但不适用于geom_line()
。 最佳答案
只需将group = Behaviour
移至ggplot(..., aes(..., group = Behaviour))
。
ggplot(rep, aes(x = stage, y = Repeatability, shape = Behaviour, colour=Age, group = Behaviour)) +
geom_point(
position = position_dodge(width = 0.3),
size = 3) +
geom_line(
position = position_dodge(width = 0.3),
data = function(x) inner_join(x, my_colors %>% filter(color == 'black')))+
scale_colour_manual(
values = c("orange", "black", "red", "black", "black", "pink", "black"),
name = "Study",
breaks=c("A","A1","A2", "CY", "PE","PW", "PW2"))+
geom_errorbar(
aes(ymin=LCI, ymax=UCI),
position=pd,
width=0.1,
size=0.5)
好的,这是另一种选择。想法是使用
jitter
预先计算躲避的位置。这会将类别变量stage
转换为需要通过stage.jitter
手动指定x轴标签的连续变量scale_x_continuous
。rep %>%
mutate(stage.jitter = jitter(as.numeric(stage), 0.5)) %>%
ggplot(aes(x = stage.jitter, y = Repeatability, shape = Behaviour, colour=Age, group = Behaviour)) +
geom_point(size = 3) +
geom_line(
data = function(x) inner_join(x, my_colors %>% filter(color == 'black')))+
scale_colour_manual(
values = c("orange", "black", "red", "black", "black", "pink", "black"),
name = "Study",
breaks=c("A","A1","A2", "CY", "PE","PW", "PW2")) +
scale_x_continuous(
"stage",
labels = function(x) rep %>% pull(stage) %>% levels() %>% .[x]) +
geom_errorbar(
aes(ymin = LCI, ymax = UCI),
width = 0.1,
size = 0.5)
您可能需要通过更改
factor
中的jitter
值来处理抖动量。