如何为R scatterplot3d上的每个绘图点添加标签(注释)

问题描述 投票:0回答:2

数据格式“NB”如下。

> head(NB)
   time    speed  traffic  density
1 06:00 44.04854 304.6616 108.4641
2 06:10 43.73164 332.3510 111.6164
3 06:20 43.35056 359.2273 114.8773
4 06:30 42.91960 382.6465 118.5487
5 06:40 42.42904 400.3864 121.8942
6 06:50 41.91823 415.5429 124.9405

> str(NB)
'data.frame':   85 obs. of  4 variables:
 $ time   : Factor w/ 144 levels "00:00","00:10",..: 37 38 39 40 41 42 43 44 45 46 ...
 $ speed  : num  44 43.7 43.4 42.9 42.4 ...
 $ traffic: num  305 332 359 383 400 ...
 $ density: num  108 112 115 119 122 ...

我使用下面的代码制作了 3D 图表。我想知道如何将第一个“时间”列添加到 3d 图形绘制的点并标记“时间”(06:00, 06:10 .... 20:00)

zz <- scatterplot3d(x=NB[,2],y=NB[,3], z=NB[,4],main=naljja,xlab="speed",ylab="traffic",zlab="density",pch=1,color = "blue",grid = TRUE)

r annotations data-annotations scatter-plot scatterplot3d
2个回答
2
投票

尝试获取

zz
对象(
scatterplot3d
的结果)并使用
xyz.convert
函数将坐标从 3D (x, y, z) 转换为 2D 投影 (x, y)。然后可以使用
text
并从
time
列(第一列)向图表添加标签。在本例中,我使用
cex
来减小文本大小,并使用
pos
将标签放置在点的右侧。

library(scatterplot3d)

zz <- scatterplot3d(x = NB[,2], y = NB[,3], z = NB[,4], 
                    xlab = "speed", ylab = "traffic", zlab = "density", 
                    pch = 1, color = "blue", grid = TRUE)

zz.coords <- zz$xyz.convert(NB[,2], NB[,3], NB[,4]) 

text(zz.coords$x, 
     zz.coords$y,             
     labels = NB[,1],               
     cex = .5, 
     pos = 4)  

剧情

数据

NB <- structure(list(time = c("06:00", "06:10", "06:20", "06:30", "06:40", 
"06:50"), speed = c(44.04854, 43.73164, 43.35056, 42.9196, 42.42904, 
41.91823), traffic = c(304.6616, 332.351, 359.2273, 382.6465, 
400.3864, 415.5429), density = c(108.4641, 111.6164, 114.8773, 
118.5487, 121.8942, 124.9405)), class = "data.frame", row.names = c("1", 
"2", "3", "4", "5", "6"))

参考

https://www.r-bloggers.com/2012/01/getting-fancy-with-3-d-scatterplots/


0
投票

您好,我正在处理连接到数据集的图表: Chart

正如您所注意到的,我使用以下代码设置了一些硬代码点: p3$points3d(x=c(45),y=c(-10),z=c(10), col="red", pch =c(16),cex=2) 但我想为每个点添加一个标签 如点 #1、点、#2 等。 我希望我没有很好地解释自己。

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