Question

我想从我在ggplot2中看到的一篇文章复制这些情节：

我已经测试了2件事，但是我无法获得想要的结果。

使用geom_dotplot的点图
我得到了分布形状（类似于小提琴图），但是数据点实际上是装箱在一起的，显示的点不是真实的数据点，这不是我想要的。

ggplot(t) +
geom_dotplot(
    aes(x=as.character(dt), y=v_fit, fill=as.character(dt), color=as.character(dt)), 
    binaxis = "y", 
    stackdir = "center", 
    binwidth=0.04) +
scale_y_continuous(
    limits=c(50, 10000), 
    trans='log10'
)

使用geom_jitter的抖动点图
另一方面，我有真实的数据点（除了与 jitter 部分引入的x坐标之间的小的随机偏差），但是我失去了分布形状。
```
ggplot(t) +
geom_jitter(aes(x=as.character(dt), y=v_fit, fill=as.character(dt), color=as.character(dt))) +
scale_y_continuous(
    limits=c(50, 10000), 
    trans='log10'
)
```

很明显，我想用点图或小提琴图得到形状，但是当我用真实的y坐标绘制实点时。它应该做的工作与geom_jitter类似，但是只有在点重叠时才在x轴上散布点，这正是上面文章第一幅图所实现的。

感谢您的帮助，谢谢。

数据：

t = structure(list(v_fit = c(534.164528826258, 480.911066257435, 
457.119008832637, 497.634607603821, 1639.64101658328, 163.785146046438, 
1011.08373554375, 446.999460169543, 290.358063262957, 1089.79240143688, 
1224.2829252468, 1721.33107756346, 781.928856744308, 657.206811354693, 
893.006695827087, 903.6824860346, 332.387581297246, 681.295548205955, 
252.822704524236, 3037.70957689832, 809.627297418715, 2671.37397070036, 
946.961614978091, 224.07321623053, 173.30410631272, 62.9012709408904, 
242.118519056607, 464.380594499609, 392.973014449662, 880.471909264493, 
347.510323227536, 1049.57951055953, 700.738563620488, 673.267092514231, 
324.996044204249, 928.998272618453, 590.087284475645, 1116.78735515747, 
257.986635712577, 935.018697108068, 759.482686457198, 478.346163098035, 
686.165166708061, 626.275257027621, 365.1414793875, 584.248372077669, 
506.394755385974, 590.681491206473, 617.483731452587, 299.71275410905, 
2829.60700990855, 649.966105015989, 819.591804251387, 1297.86369222605, 
556.087527129887, 333.590824928921, 677.653760637841, 421.618607534765, 
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247.581567558032, 734.90940476596, 162.826965977393, 525.044144559273, 
535.982182482454, 290.403282850706, 609.087803260785, 350.189963528307, 
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494.542048714908, 597.405662994616, 588.851526598432, 356.610720899263, 
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286.727278500456, 807.065014868107, 227.055558526809, 636.755730710553, 
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1509.91137610267, 122.904135658141, 420.527842661432, 821.749996812521, 
745.610848465649, 706.49939885984, 249.780967318107, 376.718586018169, 
426.083098093963, 172.114805462957, 531.430777503421, 479.325914161168, 
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376.754224564282, 477.446901873419, 204.262445691292, 635.626569470454, 
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411.346894085045, 376.517842321494, 291.88224508368, 963.882519700336, 
221.405132326663, 625.485321970204, 479.477464719575, 1013.36335933274, 
716.760561645576, 374.69218469994, 827.066277215869, 664.062228791904, 
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255.823959956204, 697.579580009507, 1166.03046981481, 740.462690634954, 
399.10571311819, 2795.11358732495, 415.255254134771, 811.031124617858, 
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285.074845241293, 703.59017248051, 471.348035136559, 336.870483709273, 
543.84241589957, 175.963746448416, 327.629121234582, 146.300594699299, 
211.188739047878, 447.491174029884, 329.880476850023, 265.609052408263, 
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330.249729869612, 424.809409135591, 330.130284002976, 478.822414376712, 
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1002.87673857262, 256.339266597473, 807.886802508194, 797.994230150557, 
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540.681091490809, 855.310742302584, 569.063436041681, 647.13495703528, 
888.40996322982, 221.797728091217, 564.26584931208, 804.272555277162, 
684.761550106154, 956.245323188892, 993.420030940856, 751.151411843461, 
999.14332604216, 722.914332925105, 3653.8690253218, 305.448467023353, 
796.658789956931, 323.043104397264, 230.219769837322, 808631845.043852, 
147.006580908429, 366.170172594164, 232.380012814077, 731.228841771039, 
230.402914726485, 545.88757395889, 353.277583790557, 1060.41817496005, 
857.940810638936, 551.498144433163, 820.18590680816, 471.934165925577, 
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693.379543534391, 2354.1162978951, 1148.68364163255, 410.378730766455, 
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866.443805122993, 821.092724140609, 353.935925544179, 54168845.4501667, 
720.590179150782, 598.952597175555, 252.642232747448, 388.759816869824, 
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Answer 1

您可以尝试使用ggforce软件包中的geom_sina()函数：

library(ggforce)

ggplot(t) +
  geom_sina(aes(as.character(dt), 
                y = v_fit, 
                fill = as.character(dt), 
                colour = as.character(dt))) +
  scale_y_continuous(limits = c(50, 10000), 
                     trans = "log10")

或ggbeeswarm软件包中的geom_beeswarm()：

library(ggbeeswarm)
ggplot(t) +
  geom_beeswarm(aes(as.character(dt), 
                y = v_fit, 
                fill = as.character(dt), 
                colour = as.character(dt))) +
  scale_y_continuous(limits = c(50, 10000), 
                     trans = "log10")

在ggplot2中没有合并的Dotplot

1 个答案: