将position_dodge与geom_line结合使用

Blu*_*ist 6 r ggplot2

我的问题与这个问题密切相关,但是后续问题,而不是重复问题。postion_dodge()我的绘图问题与使用with有关geom_line()

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
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仅相关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)
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这是我得到的情节:

在此输入图像描述

我怎样才能移动geom_line()使它穿过黑点?(而不是在黑点和粉点之间。)

我已将position = position_dodge(width = 0.3)参数包含在geom_point()geom_line()代码中,但它不适用于geom_line().

Mau*_*ers 7

只需移动group = Behaviourggplot(..., 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)
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阴谋


好的,这是另一个选择。这个想法是使用 预先计算躲避的位置jitter。这会将分类变量变成stage连续变量stage.jitter,需要通过 手动指定 x 轴标签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)
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第二个情节

您可能需要通过更改factor内部的值来调整抖动量jitter