平面 R 着色问题中的 scatter3D
scatter3D in R Colouring Issue with Plane
我正在使用库 plot3D
中的 scatter3D
并绘制带有预测平面的散点图:
library(plot3D)
scatter3D(x1,x2,y, bty = "g",
pch = 20, cex = 2, ticktype = "detailed",
surf = list(x = sort(unique(x1_new)), y = sort(unique(x2_new)), z = z.pred ,
facets = NA
))
我的 y
范围从 -1 到 1,但是 z.pred
中的一些预测低于 -1。因此,您会注意到低于 -1 的预测未着色,因为它们超出了色标。我该如何解决?
试试这个:
library(plot3D)
scatter3D(x1,x2,y, bty = "g",
pch = 20, cex = 2, ticktype = "detailed",
surf = list(x = sort(unique(x1_new)), y = sort(unique(x2_new)), z = z.pred ,
facets = NA
),clim=c(min(y,z.pred),max(y,z.pred))
我正在使用库 plot3D
中的 scatter3D
并绘制带有预测平面的散点图:
library(plot3D)
scatter3D(x1,x2,y, bty = "g",
pch = 20, cex = 2, ticktype = "detailed",
surf = list(x = sort(unique(x1_new)), y = sort(unique(x2_new)), z = z.pred ,
facets = NA
))
我的 y
范围从 -1 到 1,但是 z.pred
中的一些预测低于 -1。因此,您会注意到低于 -1 的预测未着色,因为它们超出了色标。我该如何解决?
试试这个:
library(plot3D)
scatter3D(x1,x2,y, bty = "g",
pch = 20, cex = 2, ticktype = "detailed",
surf = list(x = sort(unique(x1_new)), y = sort(unique(x2_new)), z = z.pred ,
facets = NA
),clim=c(min(y,z.pred),max(y,z.pred))