如何在箱线图上显示异常值
艾略特·里德（Eliott Reed）
如何在箱图中查看异常值的ID？
structure(list(pot = c(1L, 2L, 3L, 4L, 21L, 22L, 23L, 24L, 5L,
6L, 7L, 8L, 25L, 26L, 27L, 28L, 9L, 10L, 11L, 12L, 29L, 30L,
31L, 32L, 13L, 14L, 15L, 16L, 33L, 34L, 35L, 36L, 17L, 18L, 19L,
20L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 61L, 62L, 63L, 64L,
45L, 46L, 47L, 48L, 65L, 66L, 67L, 68L, 49L, 50L, 51L, 52L, 69L,
70L, 71L, 72L, 53L, 54L, 55L, 56L, 73L, 74L, 75L, 76L, 57L, 58L,
59L, 60L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 101L, 102L,
103L, 104L, 85L, 86L, 87L, 88L, 105L, 106L, 107L, 108L, 89L,
90L, 91L, 92L, 109L, 110L, 111L, 112L, 93L, 94L, 95L, 96L, 113L,
114L, 115L, 116L, 97L, 98L, 99L, 100L, 117L, 118L, 119L, 120L,
121L, 122L, 123L, 124L, 141L, 142L, 143L, 144L, 125L, 126L, 127L,
128L, 145L, 146L, 147L, 148L, 129L, 130L, 131L, 132L, 149L, 150L,
151L, 152L, 133L, 134L, 135L, 136L, 153L, 154L, 155L, 156L, 137L,
138L, 139L, 140L, 157L, 158L, 159L, 160L), rep = c(1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L), cultivar = structure(c(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, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("Dinninup",
"Riverina", "Seaton Park", "Yarloop"), class = "factor"), Waterlogging = structure(c(2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L,
2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L), .Label = c("Non-waterlogged",
"Waterlogged"), class = "factor"), P = c(12.1, 12.1, 12.1, 12.1,
12.1, 12.1, 12.1, 12.1, 15.17, 15.17, 15.17, 15.17, 15.17, 15.17,
15.17, 15.17, 18.24, 18.24, 18.24, 18.24, 18.24, 18.24, 18.24,
18.24, 24.39, 24.39, 24.39, 24.39, 24.39, 24.39, 24.39, 24.39,
48.35, 48.35, 48.35, 48.35, 48.35, 48.35, 48.35, 48.35, 12.1,
12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 15.17, 15.17, 15.17,
15.17, 15.17, 15.17, 15.17, 15.17, 18.24, 18.24, 18.24, 18.24,
18.24, 18.24, 18.24, 18.24, 24.39, 24.39, 24.39, 24.39, 24.39,
24.39, 24.39, 24.39, 48.35, 48.35, 48.35, 48.35, 48.35, 48.35,
48.35, 48.35, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1,
15.17, 15.17, 15.17, 15.17, 15.17, 15.17, 15.17, 15.17, 18.24,
18.24, 18.24, 18.24, 18.24, 18.24, 18.24, 18.24, 24.39, 24.39,
24.39, 24.39, 24.39, 24.39, 24.39, 24.39, 48.35, 48.35, 48.35,
48.35, 48.35, 48.35, 48.35, 48.35, 12.1, 12.1, 12.1, 12.1, 12.1,
12.1, 12.1, 12.1, 15.17, 15.17, 15.17, 15.17, 15.17, 15.17, 15.17,
15.17, 18.24, 18.24, 18.24, 18.24, 18.24, 18.24, 18.24, 18.24,
24.39, 24.39, 24.39, 24.39, 24.39, 24.39, 24.39, 24.39, 48.35,
48.35, 48.35, 48.35, 48.35, 48.35, 48.35, 48.35), total = c(3.66,
2.02, 1.59, 1.67, 2.12, 2.46, 1.79, 2.09, 2.03, 2.13, 1.83, 2.34,
2.66, 2.2, 1.79, 1.97, 2.17, 2.44, 1.49, 2.19, 2.92, 2.43, 1.58,
2.07, 2.48, 2.49, 1.69, 2.1, 2.38, 2.52, 2.41, 2.46, 2.22, 2.07,
1.97, 2.3, 2.48, 3.16, 1.76, 2.38, 2.81, 2.64, 2.59, 3.28, 3.18,
2.57, 2.9, 3, 2.38, 2.72, 2.58, 2.73, 3.06, 3.01, 3.01, 2.77,
2.95, 2.36, 2.91, 2.38, 3.33, 3.19, 3.17, 3.16, 3.16, 3.2, 2.58,
3.71, 3.11, 2.7, 2.92, 1.93, 2.95, 2.57, 2.68, 2.48, 3.34, 2.75,
2.52, 1.88, 1.19, 0.57, 0.64, 0.66, 1.13, 1.28, 0.85, 0.96, 1.34,
2.14, 0.63, 1.27, 1.13, 0.64, 1.21, 1.95, 1.11, 0.91, 0.75, 0.63,
1.06, 1.07, 1.05, 0.8, 1.41, 1.13, 0.75, 0.89, 1.98, 1.27, 1.01,
1, 1.16, 0.64, 0.64, 1.02, 1.03, 1.13, 0.79, 0.6, 3.88, 2.79,
2.73, 2.77, 3.54, 2.05, 1.51, 1.88, 3.86, 3.13, 1.97, 3.46, 3.98,
3.6, 2.12, 2.86, 2.95, 1.65, 1.94, 2.53, 2.21, 1.94, 2.05, 2.22,
3, 3.28, 1.55, 3.85, 2.4, 2.1, 1.98, 1.81, 2.48, 1.66, 2.06,
1.23, 3.75, 1.99, 1.67, 1.93)), class = "data.frame", row.names = c(NA,
-160L))
boxplot(total~cultivar*as.factor(P),data=x)
这就是我所追求的...
我已经尝试过以下示例，但不起作用...。
boxplot(total~cultivar*as.factor(P),data=x,id=list(n=Inf))
识别图上的异常值将使从分析中更轻松地将它们删除。由于某种原因，它不像我想的那么简单。该帖子要求我添加更多详细信息，但我认为已经足够。
M--
您可以使用该car软件包：
library(car)
Boxplot(total ~ cultivar*as.factor(P), id.method="y", data = x)
更新：
是否可以翻转坐标car::Boxplot？
为了应对挑战，我尝试了一些修改方法。毕竟，我能够旋转绘图，但是它不像常规的那样ggplot2::coord_flip。在这里，我只是旋转情节。因此，标签仍保持其先前的对齐方式。我们可以走得更远，删除标签并重写它们，但这将破坏该解决方案的简单性。
library(car)
library(gridGraphics)
p <- Boxplot(total ~ cultivar*as.factor(P), id.method="y", data = x)
grab_grob <- function(){
grid.echo()
grid.grab()
}
g <- grab_grob()
grid.newpage()
pushViewport(viewport(width=0.5,angle=90))
grid.draw(g)
本文收集自互联网，转载请注明来源。
如有侵权，请联系 [email protected] 删除。
编辑于
相关文章
TOP 榜单
- 1
隐藏发件人没有短信PHP
- 2
Hashchange事件侦听器在将事件处理程序附加到事件之前进行侦听
- 3
在浏览器中请求URL时会发生什么？
- 4
flask-admin 如何自定义删除按钮
- 5
材质UI垂直滑块。如何改变在垂直材料UI滑块导轨的厚度（反应）
- 6
用日期数据透视表和日期顺序查询
- 7
Jqgrid：多级别组摘要
- 8
java io ioexception无法解析服务器地址解析器的响应
- 9
Swift如何使用Base64Url编码JWT标头和有效负载之类的json对象
- 10
sshd AllowGroups组未授予访问权限
- 11
jQuery无限滚动固定div中的滚动
- 12
android 背部按下
- 13
Flexbox CSS 对齐属性环境惰性？
- 14
为什么随机森林中的平均降低基尼系数取决于人口规模？
- 15
ClickHouse 创建临时表
- 16
为什么PlusShare.Builder setRecipients方法不起作用？
- 17
如何在Android中识别MICR代码
- 18
PyQt4.QtCore模块无法向sip模块注册
- 19
正则表达式，用于查找所有以任何字母开头和数字开头的文件
- 20
是否可以通过编程方式对很多动画进行重新着色？
- 21
机器密钥生成
我来说两句