【发布时间】：2017-01-07 00:14:59
【问题描述】：
我正在尝试将名为 Canopy_index（响应变量）和 Lighting（解释变量）（下面的数据框）的两列绘制到散点图上。绘制观察结果时，数据点错误地主要绘制在图的左侧（下图），这可能是由于 x 轴上的设置不正确或需要更改基本图形设置。在数据框中，Lighting 列中的值通常介于 0 到
目标
问题是我想操纵和更改 x 轴值的范围（0 到 20.0 之间），以便以 0.5 的增量将观察结果分布在第 1 侧或 x 轴的整个宽度上（即 0、0.5、1.0、1.5.....20）。
我尝试了不同的方法，但输出结果始终相同。此外，图中还有一个虚假的异常值；但是，我无法在数据中检测到这个数据点。
如果有人可以提供帮助，那么非常感谢。
代码
plot(Canopy_index~Lighting,
xaxt="n", pch=16,
col="blue",
xlab="Artificial Lighting",
ylab="Canopy Index",
data=Distance_light)
axis(1, at=seq(0, 20, by=0.5), las=2)
情节
数据
structure(list(Canopy_index = c(75, 85, 75, 35, 85, 95, 85, 65,
75, 95, 75, 95, 85, 75, 85, 95, 75, 85, 85, 85, 75, 75, 85, 85,
65, 85, 75, 85, 95, 95, 85, 55, 75, 95, 75, 95, 95, 65, 65, 55,
95, 85, 85, 45, 85, 85, 35, 95, 85, 85, 35, 85, 45, 85, 85, 85,
95, 85, 85, 75, 85, 35, 85, 85, 65, 65, 85, 45, 55, 95, 75, 95,
45, 75, 75, 95, 95, 85, 75, 95, 75, 65, 85, 75, 75, 55, 75, 85,
85, 85, 15, 75, 85, 85, 85, 95, 85, 85, 85, 75, 85, 85, 95, 65,
75, 95, 55, 75, 85, 85, 85, 95, 55, 85, 75, 75, 85, 85, 85, 85,
55, 75, 55, 75, 85, 75, 85, 85, 75, 85, 75, 95, 25, 95, 95, 25,
75, 75, 85, 35, 55, 85, 65, 85, 75, 85, 85, 85, 75, 65, 85, 85,
95, 65, 55, 95, 95, 85, 95, 85, 65, 55, 65, 55, 95, 75, 85, 85,
35, 75, 75, 85, 65, 85, 65, 65, 95, 85, 95, 75, 75, 55, 95, 65,
85, 65, 15, 35, 55, 95, 15, 15, 75, 65, 85, 5, 5, 35, 35, 85,
65, 45, 35, 65, 65, 75, 65, 15, 75, 65, 45, 25, 65, 85, 45, 85,
75, 15, 65, 45, 55, 45, 15, 45, 75, 65, 75, 65, 35, 95, 65, 35,
35, 65, 45, 75, 35, 75, 85, 35, 55, 65, 85, 65, 65, 85, 55, 15,
75, 65, 45, 45, 85, 55, 15, 85, 15, 95, 75, 5, 55, 15, 35, 45,
85, 65, 65, 65, 65, 25, 85, 35, 55, 65, 75, 5, 45, 65, 15, 75,
55, 65, 55, 35, 75, 65, 65, 85, 35, 65, 55, 75, 15, 55, 65, 75,
55, 85, 35, 55, 55, 25, 75, 15, 55, 75, 75, 65, 55, 45, 75, 25,
45, 95, 55, 75, 45, 25, 35, 55, 15, 15, 75, 35, 55, 55, 65, 45,
65, 25, 55, 45, 65, 65, 25, 25, 65, 45, 95, 55, 25, 55, 85, 45,
85, 15, 75, 65, 35, 75, 15, 55, 85, 35, 55, 45, 85, 45, 65, 55,
75, 65, 85), Lighting = c(2.5, 20, 20, 20, 20, 20, 20, 20, 20,
20, 5, 20, 7.5, 20, 20, 20, 20, 5.5, 15, 20, 5, 20, 20, 20, 20,
20, 20, 7.5, 20, 20, 7.5, 20, 2.5, 20, 15, 20, 20, 20, 20, 20,
20, 20, 20, 15, 20, 2.5, 7.5, 15, 20, 20, 20, 20, 7.5, 20, 2.5,
20, 20, 20, 20, 20, 20, 20, 15, 20, 20, 2.5, 20, 20, 20, 15,
15, 20, 20, 20, 20, 15, 15, 20, 2.5, 20, 2.5, 20, 20, 20, 20,
20, 20, 15, 20, 20, 5, 5, 20, 20, 20, 20, 20, 7.5, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 15, 7.5,
20, 20, 20, 20, 20, 20, 2.5, 20, 20, 2.5, 20, 20, 15, 20, 20,
20, 7.5, 15, 20, 7.5, 20, 20, 20, 20, 20, 15, 20, 20, 20, 20,
20, 20, 20, 2.5, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
15, 7.5, 2.5, 15, 20, 20, 15, 20, 7.5, 8, 20, 20, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
20, 15, 20, 20, 15, 20, 15, 20, 20, 7.5, 20, 20, 7.5, 20, 20,
20, 20, 20, 20, 15, 20, 7.5, 20, 20, 20, 20, 20, 20, 20, 20,
20, 20, 20, 20, 20, 15, 15, 75, 20, 20, 20, 20, 20, 20, 2.5,
20, 20, 2.5, 15, 20, 20, 7.5, 15, 20, 20, 7.5, 20, 20, 20, 20,
20, 15, 20, 20, 15, 20, 15, 7.5, 2.5, 20, 7.5, 20, 20, 7.5, 20,
20, 20, 15, 20, 20, 20, 7.5, 20, 7.5, 20, 20, 20, 7.5, 8, 20,
20, 20, 20, 20, 20, 20, 20, 7.5, 20, 20, 20, 20, 20, 7.5, 20,
7.5, 20, 20, 20, 20, 20, 15, 20, 20, 2.5, 20, 20, 20, 20, 20,
20, 20, 2.5, 7.5, 20, 7.5, 20, 2.5, 20, 20, 20, 15, 20, 20, 20,
20, 20, 20, 20, 7.5, 20, 20, 20, 20, 20, 20, 20, 20, 20, 2.5,
7.5, 2.5, 15, 20, 20, 15, 20, 20, 20, 20, 20, 15, 20, 20, 20,
20, 20, 20, 20, 20, 15)), .Names = c("Canopy_index", "Lighting"
), row.names = c(NA, -363L), class = "data.frame")
【问题讨论】：
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第 230 行有异常值，这就是您的图表看起来像这样的原因
标签： r plot axis axis-labels