在我的most recent question使用不同的库时，我遇到了与轴有关的问题。
在这种特殊情况下，我使用相同的数据集，其中 X 中存在的变量只有两个可能的值 - 2009 或 2010。
2009,01,52.4
2009,01,49.5
2009,01,53.2
2009,01,48.2
2009,01,53.9
2009,01,42.8
2009,01,56.4
2009,01,57
2009,01,50.3
2009,01,57.4
2009,01,45.2
2009,01,55
2009,01,47.1
2009,01,42.2
2009,01,57.1
2009,01,51.7
2009,01,56.8
2009,01,56.9
2009,01,55
2009,01,52.9
2009,01,52.9
2009,01,57
2009,01,45
2009,01,52.8
2009,01,52
2009,01,55.1
2009,01,53.3
2009,01,55.2
2009,01,53.2
2009,01,56.9
2009,01,55.9
2009,02,54.7
2009,02,53.1
2009,02,54.2
2009,02,56.2
2009,02,58.5
2009,02,50.9
2009,02,57.7
2009,02,54.1
2009,02,54.5
2009,02,55.3
2009,02,53.4
2009,02,53.8
2009,02,51.3
2009,02,52.3
2009,02,53
2009,02,53.6
2009,02,55
2009,02,53
2009,02,53.6
2009,02,52.5
2009,02,54.1
2009,02,50.1
2009,02,52.2
2009,02,54.3
2009,02,52.4
2009,02,53.2
2009,02,52.5
2009,02,52.7
2009,03,56.2
2009,03,58.7
2009,03,58.2
2009,03,63
2009,03,55
2009,03,55.4
2009,03,55.8
2009,03,63.8
2009,03,56
2009,03,52.3
2009,03,55.6
2009,03,56.8
2009,03,57.4
2009,03,58.7
2009,03,59.9
2009,03,57.7
2009,03,55.3
2009,03,54.9
2009,03,61.8
2009,03,54.1
2009,03,52.9
2009,03,55.5
2009,03,55.3
2009,03,66.4
2009,03,55.7
2009,03,53.2
2009,04,55.4
2009,04,60
2009,04,54.9
2009,04,55.3
2009,04,57.5
2009,04,55.8
2009,04,57.6
2009,04,55.7
2009,04,56.4
2009,04,54
2009,04,55.8
2009,04,56.8
2009,04,54.8
2009,04,55.8
2009,04,55.8
2009,04,53.5
2009,04,56.8
2009,04,54
2009,04,56.7
2009,04,57.2
2009,04,57.8
2009,04,57.3
2009,04,57.2
2009,04,57.2
2009,04,56.2
2009,04,55.2
2009,04,54.7
2009,04,57
2009,04,55.9
2009,05,59.8
2009,05,58.9
2009,05,59.3
2009,05,58.9
2009,05,60.4
2009,05,59.1
2009,05,58.5
2009,05,73.4
2009,05,62.5
2009,05,61.4
2009,05,61.1
2009,05,61.6
2009,05,67.6
2009,05,66.5
2009,05,58.6
2009,05,61.1
2009,05,62
2009,05,72.1
2009,05,59.3
2009,05,59.6
2009,05,61
2009,05,57.1
2009,05,59.2
2009,05,60.4
2009,05,60.1
2009,05,58.5
2009,05,58.9
2009,05,59.8
2009,05,62.6
2009,05,60.9
2009,05,59.5
2009,06,63.8
2009,06,65.4
2009,06,64.7
2009,06,64
2009,06,65.8
2009,06,68.3
2009,06,63.9
2009,06,64.2
2009,06,61.9
2009,06,62.9
2009,06,63.9
2009,06,69.7
2009,06,63.7
2009,06,63.4
2009,06,63.8
2009,06,64.5
2009,06,64.4
2009,06,63.9
2009,06,66.6
2009,06,70.3
2009,06,67.1
2009,06,65.8
2009,06,65.5
2009,06,62.9
2009,06,64.4
2009,06,65.4
2009,06,64.4
2009,06,63.3
2009,06,66.3
2009,06,66.7
2009,07,64.8
2009,07,66
2009,07,66.8
2009,07,69.9
2009,07,65.9
2009,07,68.6
2009,07,67.6
2009,07,66.7
2009,07,65.5
2009,07,65
2009,07,66.5
2009,07,66.7
2009,07,67.1
2009,07,67.4
2009,07,64.8
2009,07,65.8
2009,07,64.7
2009,07,66
2009,07,68
2009,07,66
2009,07,64.1
2009,07,65.8
2009,07,65
2009,07,63.3
2009,08,65.9
2009,08,65
2009,08,65.9
2009,08,64
2009,08,66.1
2009,08,64.5
2009,08,64
2009,08,66.8
2009,08,65
2009,08,64.7
2009,08,64.8
2009,08,65.8
2009,08,64.9
2009,08,64.9
2009,08,65.1
2009,08,65.2
2009,08,67
2009,08,64.8
2009,08,65.6
2009,08,66.1
2009,08,64.9
2009,08,67.1
2009,08,64.7
2009,08,64.9
2009,08,65.1
2009,08,64.1
2009,08,64.6
2009,08,66.5
2009,08,65.4
2009,08,65
2009,09,64.2
2009,09,63.1
2009,09,65.3
2009,09,64.2
2009,09,64.7
2009,09,63.9
2009,09,70.9
2009,09,70.1
2009,09,65
2009,09,65.5
2009,09,65.4
2009,09,68.1
2009,09,64.4
2009,09,65.1
2009,09,65.7
2009,09,63.2
2009,09,64.5
2009,09,64.8
2009,09,66.4
2009,09,64.9
2009,09,67.5
2009,09,66.4
2009,09,65.7
2009,09,65
2009,09,64.4
2009,09,62.5
2009,09,62.9
2009,09,63.7
2009,09,63.3
2009,10,66.6
2009,10,62.9
2009,10,63.1
2009,10,65.4
2009,10,69.4
2009,10,71.1
2009,10,64.1
2009,10,66.9
2009,10,69.4
2009,10,66.6
2009,10,63
2009,10,67.2
2009,10,68.6
2009,10,65.2
2009,10,64
2009,10,62.4
2009,10,65
2009,10,64.3
2009,10,68.6
2009,10,68
2009,10,63
2009,10,61.2
2009,10,65.3
2009,10,64.7
2009,10,67.1
2009,10,67.2
2009,10,68.5
2009,10,65.4
2009,10,64
2009,11,58.4
2009,11,66.4
2009,11,58.2
2009,11,55.7
2009,11,59.4
2009,11,62.7
2009,11,61.5
2009,11,62.2
2009,11,63.8
2009,11,62.2
2009,11,59.9
2009,11,62.5
2009,11,61.8
2009,11,63.3
2009,11,60.5
2009,11,60
2009,11,62
2009,11,60.5
2009,11,59.4
2009,11,63
2009,11,61.8
2009,11,60.6
2009,11,62.2
2009,11,62.9
2009,11,59.3
2009,11,55.6
2009,11,61.2
2009,11,57.6
2009,11,63.3
2009,11,58.1
2009,12,45.6
2009,12,59.7
2009,12,59.4
2009,12,59.5
2009,12,58
2009,12,56.5
2009,12,60.3
2009,12,55.9
2009,12,50.6
2009,12,51.3
2009,12,62.3
2009,12,58.2
2009,12,40.6
2009,12,59.4
2009,12,55.6
2009,12,61.6
2009,12,48.1
2009,12,52.3
2009,12,57.7
2009,12,60.1
2009,12,61.3
2009,12,59.7
2009,12,52.6
2009,12,51.9
2009,12,53.2
2009,12,58.7
2009,12,55.9
2010,01,57.8
2010,01,45.4
2010,01,50.5
2010,01,56.3
2010,01,58.1
2010,01,41.8
2010,01,53
2010,01,58.9
2010,01,52.5
2010,01,50.5
2010,01,56.4
2010,01,55.9
2010,01,55.4
2010,01,39
2010,01,56.4
2010,01,57.7
2010,01,59.8
2010,01,54.9
2010,01,56.1
2010,01,55.6
2010,01,57.5
2010,01,47.4
2010,01,59.5
2010,01,48.7
2010,01,59.4
2010,01,55.5
2010,01,56.3
2010,01,45.1
2010,01,49
2010,02,43.1
2010,02,53.9
2010,02,44.2
2010,02,53.2
2010,02,48.8
2010,02,44.3
2010,02,57.3
2010,02,50.4
2010,02,59.8
2010,02,58.5
2010,02,56.3
2010,02,56.7
2010,02,58.9
2010,02,51.3
2010,02,43
2010,02,58.4
2010,02,56.9
2010,02,57.2
2010,02,51.2
2010,02,50.9
2010,02,48.7
2010,02,54.4
2010,02,55.9
2010,02,53.9
2010,02,59.3
2010,03,56
2010,03,54.9
2010,03,55.9
2010,03,58.2
2010,03,60.9
2010,03,56
2010,03,57.5
2010,03,59.1
2010,03,57.4
2010,03,51.9
2010,03,58
2010,03,55.9
2010,03,57.1
2010,03,55
2010,03,60.7
2010,03,55.7
2010,03,50.3
2010,03,57.6
2010,03,60.5
2010,03,53.7
2010,03,56.5
2010,03,57.3
2010,03,52.8
2010,03,46.7
2010,03,52.3
2010,03,55.6
2010,03,52.7
2010,03,56.1
2010,03,57.1
2010,03,55.2
2010,03,57.6
2010,04,62.4
2010,04,62.6
2010,04,55.7
2010,04,62.5
2010,04,57.5
2010,04,69.5
2010,04,63.5
2010,04,62.2
2010,04,60.7
2010,04,62.5
2010,04,62
2010,04,57.6
2010,04,61.3
2010,04,54.8
2010,04,64.3
2010,04,61.4
2010,04,67.2
2010,04,63
2010,04,64.5
2010,04,57.3
2010,04,57.4
2010,04,55.8
2010,04,58.6
2010,04,60.6
2010,04,61
2010,04,56.9
2010,04,60.2
2010,04,65.3
2010,04,60.2
2010,04,59.6
2010,05,73.9
2010,05,63.3
2010,05,56.5
2010,05,63.7
2010,05,63.2
2010,05,58.9
2010,05,58.1
2010,05,71.3
2010,05,63
2010,05,64.8
2010,05,64.1
2010,05,58.6
2010,05,55.9
2010,05,57.7
2010,05,69.1
2010,05,61.4
2010,05,59.2
2010,05,58.5
2010,05,57.3
2010,05,60.2
2010,05,59.1
2010,05,67.8
2010,05,67.1
2010,05,64.7
2010,05,61.3
2010,05,58.5
2010,05,58.7
2010,05,61.7
2010,05,59.9
2010,05,65.2
2010,06,64.4
2010,06,62
2010,06,62.2
2010,06,62.7
2010,06,65.8
2010,06,65.1
2010,06,63.4
2010,06,63.3
2010,06,62.2
2010,06,61.8
2010,06,61.5
2010,06,61.7
2010,06,64.7
2010,06,62.8
2010,06,64.2
2010,06,61.4
2010,06,63.3
2010,06,62.8
2010,06,64.1
2010,06,60.5
2010,06,62.6
2010,06,62.2
2010,06,63.1
2010,06,62.9
2010,06,63
2010,06,62.5
2010,06,62.2
2010,06,63.9
2010,06,61.9
2010,06,64.3
2010,07,65
2010,07,65.3
2010,07,65.1
2010,07,65.6
2010,07,65.6
2010,07,69.8
2010,07,74.5
2010,07,64.7
2010,07,65.6
2010,07,64.6
2010,07,72.1
2010,07,66.4
2010,07,66.8
2010,07,63.7
2010,07,65.2
2010,07,63.8
2010,07,65
2010,07,66.5
2010,07,65.4
2010,07,67.1
2010,07,65.5
2010,07,66.3
2010,07,65.9
2010,07,65.5
2010,07,64.5
2010,07,65
2010,07,65.9
2010,07,64.8
2010,07,65.3
2010,07,64.8
2010,07,65.3
2010,08,65.6
2010,08,65.5
2010,08,67
2010,08,69.4
2010,08,65
2010,08,64.3
2010,08,66.9
2010,08,65.4
2010,08,64.4
2010,08,65.1
2010,08,66.4
2010,08,63.6
2010,08,65.2
2010,08,63.3
2010,08,70.1
2010,08,65.9
2010,08,68.3
2010,08,67.8
2010,08,64.4
2010,08,65.1
2010,08,64.7
2010,08,63.7
2010,08,63.5
2010,08,67.9
2010,08,70.3
2010,08,65.8
2010,08,63.9
2010,08,66.6
2010,08,67.4
2010,08,65.4
2010,08,64.1
2010,09,66.6
2010,09,70.7
2010,09,66.3
2010,09,64.5
2010,09,66.7
2010,09,68.1
2010,09,71.2
2010,09,64.4
2010,09,65
2010,09,67.8
2010,09,64.5
2010,09,66.7
2010,09,67.8
2010,09,67.6
2010,09,68.3
2010,09,67.8
2010,09,67.6
2010,09,66.4
2010,09,68.4
2010,09,67.6
2010,09,63.7
2010,09,72.2
2010,09,67.3
2010,09,67.6
2010,09,67.6
2010,09,68.4
2010,09,64.7
2010,09,68.6
2010,09,66.4
2010,10,62
2010,10,63.3
2010,10,63.6
2010,10,63.7
2010,10,61.8
2010,10,64.2
2010,10,62.9
2010,10,65.6
2010,10,64.1
2010,10,65.2
2010,10,64.8
2010,10,61.6
2010,10,64.7
2010,10,65.7
2010,10,60.9
2010,10,61.7
2010,10,65.1
2010,10,65.5
2010,10,61
2010,10,62.1
2010,10,63
2010,10,65.8
2010,10,64.3
2010,10,65.3
2010,10,64.8
2010,10,62.5
2010,10,60.7
2010,11,61.2
2010,11,60.4
如果我运行以下代码
library(plot3D)
heisenberg <- read.csv(file="ABSOLUTE_FILE_LOCATION")
x <- heisenberg[[1]]
y <- heisenberg[[2]]
z <- heisenberg[[3]]
points3D(x, y, z, ticktype = "detailed")
我明白了
事情是，我希望 X 轴只有 2009 和 2010，而不是 2009.0、2009.2、2009.4 ...
在latticeExtra中adding a factor solved the problem .
就像在另一个问题中一样，如果我向数据添加两个条目，我能够得到以下结果，这比我想要的更接近，但引入了错误的数据。
因此，我决定以与解决其他问题类似的方式添加该因子，但出现以下错误
Error in Math.factor(diff(xlim)) : ‘abs’ not meaningful for factors
此错误意味着我正在将 abs() 应用于对象类型因子，但它不喜欢。
考虑到函数factor()允许我为标称变量分配一个顺序，从而使它们成为序数变量，如果我 convert the factor to integer预计不会解决这个问题，我会得到相同的结果
library(plot3D)
heisenberg <- read.csv(file="ABSOLUTE_FILE_LOCATION")
x <- heisenberg[[1]]
x <- factor(x, levels = c(2009, 2010), ordered = TRUE)
x <- as.numeric(levels(x))[x]
y <- heisenberg[[2]]
z <- heisenberg[[3]]
points3D(x, y, z, ticktype = "detailed")
这符合预期。
那么，考虑到这种情况，我可以做什么来解决这个问题？
最佳答案
heisenberg <- structure(list(x = c(2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
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2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
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2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L, 2009L,
2009L, 2009L, 2009L, 2009L, 2009L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L, 2010L,
2010L, 2010L, 2010L), y = 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, 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, 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, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L,
11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L,
12L, 12L, 12L, 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, 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, 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, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L,
6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L,
7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L,
9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L,
11L, 11L), z = c(52.4, 49.5, 53.2, 48.2, 53.9, 42.8, 56.4, 57,
50.3, 57.4, 45.2, 55, 47.1, 42.2, 57.1, 51.7, 56.8, 56.9, 55,
52.9, 52.9, 57, 45, 52.8, 52, 55.1, 53.3, 55.2, 53.2, 56.9, 55.9,
54.7, 53.1, 54.2, 56.2, 58.5, 50.9, 57.7, 54.1, 54.5, 55.3, 53.4,
53.8, 51.3, 52.3, 53, 53.6, 55, 53, 53.6, 52.5, 54.1, 50.1, 52.2,
54.3, 52.4, 53.2, 52.5, 52.7, 56.2, 58.7, 58.2, 63, 55, 55.4,
55.8, 63.8, 56, 52.3, 55.6, 56.8, 57.4, 58.7, 59.9, 57.7, 55.3,
54.9, 61.8, 54.1, 52.9, 55.5, 55.3, 66.4, 55.7, 53.2, 55.4, 60,
54.9, 55.3, 57.5, 55.8, 57.6, 55.7, 56.4, 54, 55.8, 56.8, 54.8,
55.8, 55.8, 53.5, 56.8, 54, 56.7, 57.2, 57.8, 57.3, 57.2, 57.2,
56.2, 55.2, 54.7, 57, 55.9, 59.8, 58.9, 59.3, 58.9, 60.4, 59.1,
58.5, 73.4, 62.5, 61.4, 61.1, 61.6, 67.6, 66.5, 58.6, 61.1, 62,
72.1, 59.3, 59.6, 61, 57.1, 59.2, 60.4, 60.1, 58.5, 58.9, 59.8,
62.6, 60.9, 59.5, 63.8, 65.4, 64.7, 64, 65.8, 68.3, 63.9, 64.2,
61.9, 62.9, 63.9, 69.7, 63.7, 63.4, 63.8, 64.5, 64.4, 63.9, 66.6,
70.3, 67.1, 65.8, 65.5, 62.9, 64.4, 65.4, 64.4, 63.3, 66.3, 66.7,
64.8, 66, 66.8, 69.9, 65.9, 68.6, 67.6, 66.7, 65.5, 65, 66.5,
66.7, 67.1, 67.4, 64.8, 65.8, 64.7, 66, 68, 66, 64.1, 65.8, 65,
63.3, 65.9, 65, 65.9, 64, 66.1, 64.5, 64, 66.8, 65, 64.7, 64.8,
65.8, 64.9, 64.9, 65.1, 65.2, 67, 64.8, 65.6, 66.1, 64.9, 67.1,
64.7, 64.9, 65.1, 64.1, 64.6, 66.5, 65.4, 65, 64.2, 63.1, 65.3,
64.2, 64.7, 63.9, 70.9, 70.1, 65, 65.5, 65.4, 68.1, 64.4, 65.1,
65.7, 63.2, 64.5, 64.8, 66.4, 64.9, 67.5, 66.4, 65.7, 65, 64.4,
62.5, 62.9, 63.7, 63.3, 66.6, 62.9, 63.1, 65.4, 69.4, 71.1, 64.1,
66.9, 69.4, 66.6, 63, 67.2, 68.6, 65.2, 64, 62.4, 65, 64.3, 68.6,
68, 63, 61.2, 65.3, 64.7, 67.1, 67.2, 68.5, 65.4, 64, 58.4, 66.4,
58.2, 55.7, 59.4, 62.7, 61.5, 62.2, 63.8, 62.2, 59.9, 62.5, 61.8,
63.3, 60.5, 60, 62, 60.5, 59.4, 63, 61.8, 60.6, 62.2, 62.9, 59.3,
55.6, 61.2, 57.6, 63.3, 58.1, 45.6, 59.7, 59.4, 59.5, 58, 56.5,
60.3, 55.9, 50.6, 51.3, 62.3, 58.2, 40.6, 59.4, 55.6, 61.6, 48.1,
52.3, 57.7, 60.1, 61.3, 59.7, 52.6, 51.9, 53.2, 58.7, 55.9, 57.8,
45.4, 50.5, 56.3, 58.1, 41.8, 53, 58.9, 52.5, 50.5, 56.4, 55.9,
55.4, 39, 56.4, 57.7, 59.8, 54.9, 56.1, 55.6, 57.5, 47.4, 59.5,
48.7, 59.4, 55.5, 56.3, 45.1, 49, 43.1, 53.9, 44.2, 53.2, 48.8,
44.3, 57.3, 50.4, 59.8, 58.5, 56.3, 56.7, 58.9, 51.3, 43, 58.4,
56.9, 57.2, 51.2, 50.9, 48.7, 54.4, 55.9, 53.9, 59.3, 56, 54.9,
55.9, 58.2, 60.9, 56, 57.5, 59.1, 57.4, 51.9, 58, 55.9, 57.1,
55, 60.7, 55.7, 50.3, 57.6, 60.5, 53.7, 56.5, 57.3, 52.8, 46.7,
52.3, 55.6, 52.7, 56.1, 57.1, 55.2, 57.6, 62.4, 62.6, 55.7, 62.5,
57.5, 69.5, 63.5, 62.2, 60.7, 62.5, 62, 57.6, 61.3, 54.8, 64.3,
61.4, 67.2, 63, 64.5, 57.3, 57.4, 55.8, 58.6, 60.6, 61, 56.9,
60.2, 65.3, 60.2, 59.6, 73.9, 63.3, 56.5, 63.7, 63.2, 58.9, 58.1,
71.3, 63, 64.8, 64.1, 58.6, 55.9, 57.7, 69.1, 61.4, 59.2, 58.5,
57.3, 60.2, 59.1, 67.8, 67.1, 64.7, 61.3, 58.5, 58.7, 61.7, 59.9,
65.2, 64.4, 62, 62.2, 62.7, 65.8, 65.1, 63.4, 63.3, 62.2, 61.8,
61.5, 61.7, 64.7, 62.8, 64.2, 61.4, 63.3, 62.8, 64.1, 60.5, 62.6,
62.2, 63.1, 62.9, 63, 62.5, 62.2, 63.9, 61.9, 64.3, 65, 65.3,
65.1, 65.6, 65.6, 69.8, 74.5, 64.7, 65.6, 64.6, 72.1, 66.4, 66.8,
63.7, 65.2, 63.8, 65, 66.5, 65.4, 67.1, 65.5, 66.3, 65.9, 65.5,
64.5, 65, 65.9, 64.8, 65.3, 64.8, 65.3, 65.6, 65.5, 67, 69.4,
65, 64.3, 66.9, 65.4, 64.4, 65.1, 66.4, 63.6, 65.2, 63.3, 70.1,
65.9, 68.3, 67.8, 64.4, 65.1, 64.7, 63.7, 63.5, 67.9, 70.3, 65.8,
63.9, 66.6, 67.4, 65.4, 64.1, 66.6, 70.7, 66.3, 64.5, 66.7, 68.1,
71.2, 64.4, 65, 67.8, 64.5, 66.7, 67.8, 67.6, 68.3, 67.8, 67.6,
66.4, 68.4, 67.6, 63.7, 72.2, 67.3, 67.6, 67.6, 68.4, 64.7, 68.6,
66.4, 62, 63.3, 63.6, 63.7, 61.8, 64.2, 62.9, 65.6, 64.1, 65.2,
64.8, 61.6, 64.7, 65.7, 60.9, 61.7, 65.1, 65.5, 61, 62.1, 63,
65.8, 64.3, 65.3, 64.8, 62.5, 60.7, 61.2, 60.4)), class = c("spec_tbl_df",
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -639L), spec = structure(list(
cols = list(x = structure(list(), class = c("collector_integer",
"collector")), y = structure(list(), class = c("collector_integer",
"collector")), z = structure(list(), class = c("collector_double",
"collector"))), default = structure(list(), class = c("collector_guess",
"collector")), skip = 1), class = "col_spec"))
library(plot3D)
x <- heisenberg[[1]]
y <- heisenberg[[2]]
z <- heisenberg[[3]]
points3D(x, y, z, ticktype = "detailed", xlim = c(2008, 2011), nticks = 4)
由reprex package于2019年12月11日创建(v0.3.0)
在 points3D(x, y, z, ticktype = "detailed", xlim = c(2008, 2011), nticks = 4) nticks 中实现这一点，如上所述 here
关于r - 在plot3D中强制/编辑轴值，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/59158342/