我的数据格式如下：
Time Endpoint.Value PlasmaConc Group AnimalID
0 120 .8 1 1
2 140 .4 1 1
4 115 .2 1 1
8 108 .1 1 1
24 100 .0 1 1
0 115 .9 1 2
2 130 .7 1 2
4 112 .4 1 2
8 110 .3 1 2
24 107 .1 1 2
...
0 112 .6 1 12
2 104 .5 1 12
4 98 .2 1 12
8 78 .15 1 12
24 58 .08 1 12
endpointPlot <- ggplot(data = allData, aes(x = Time, y = Endpoint.Value, group = Group, color = Group)) + geom_point()+
stat_summary(geom = "point", fun.y = mean, shape = 17, size = 7)+
stat_smooth(aes(fill = Group))+
ggtitle("Endpoint (Glucose) vs Time with smoothed standard errors by Group")
concentrationPlot <- ggplot(data = allData, aes(x = Time, y = PlasmaConc, group = Group, color = Group)) + geom_point()+
stat_summary(geom = "point", fun.y = mean, shape = 17, size = 7)+
stat_smooth(aes(fill = Group))+
ggtitle("Plasma Concentration vs Time with smoothed standard errors by Group")
有没有办法用3d绘图来做到这一点？时间在一个轴上，PlasmaConc在另一个轴上，Endpoint.Value在z轴上？
谢谢！
编辑：这是所要求的信息：
前几个columsn是：
PlasmaConc
Time 0 0.0381 0.0453 0.0708 0.0754 0.0846 0.129 0.15 0.311 0.313 0.368 0.4 0.427 0.446 0.535 0.657 0.674 0.678 0.719 0.87 0.882 0.934 1.01 1.02 1.03 1.09 1.12 1.15 1.16 1.17 1.19
0 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0
2 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
4 6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 1 0 0
8 6 0 0 0 0 0 0 0 1 1 1 1 0 0 1 1 0 0 0 1 0 0 0 1 0 0 1 0 0 0 1