3D 散点图 plot 带有拟合回归 3D 平面 ZE1E1D3D40573127E9EE0480CAF128 语言

Question

I am trying to plot a 3D Multiple polynomial regression. I have two independent variables (area and number of bedrooms) and one dependent variable (price). Each independent variable has its own polynomial degree (the area has 3 degrees polynomial, and the number of bedrooms has 4 degrees polynomial).

So far, I was only able to plot in 3D with the package "scatterplot3d", but I was not able to create the fitted regression 3D plane in my plot.

My questions: I want to create a 3D graph with the fitted regression 3D plane and the scatter plot, which package should I use? How would the code look like to have the fitted regression 3D plane in my plot (if you have a general idea)?

Thank You for your help:)

Note: I am using r language in r studio cloud.

Answer 1

Here's an example using plotPlane from the rockchalk package, which uses the persp function "under the hood" but simplifies the details of the plotting operations. See the help for plotPlane (type ?plotPlane ) for details on how the function works and the wide range of options for customizing the plot.

library(rockchalk)

m1 = lm(mpg ~ poly(wt,2) + disp, data=mtcars)

old.par = par(mfrow=c(1,2), mar=c(1,1,1,1))

plotPlane(m1, "wt", "disp", pch=16, col=rgb(0,0,1,0.1), drawArrows=TRUE, alength=0, 
          acol="red", alty=1,alwd=1, theta=25, phi=0)
plotPlane(m1, "wt", "disp", pch=16, col=rgb(0,0,1,0.1), drawArrows=TRUE, alength=0, 
          acol="red", alty=1,alwd=1, theta=35, phi=20)

If you have more than two dependent variables in the model, plotPlane will set the additional variables (the ones not being plotted) to their mean (for numeric variables) or mode (for factors). For example:

m2 = lm(mpg ~ poly(wt,2) + disp + poly(hp,2) + poly(wt,2), data=mtcars)

plotPlane(m2, "wt", "disp", pch=16, col=rgb(0,0,1,0.1), drawArrows=TRUE, alength=0, 
          acol="red", alty=1,alwd=1, theta=25, phi=0)
plotPlane(m2, "wt", "disp", pch=16, col=rgb(0,0,1,0.1), drawArrows=TRUE, alength=0, 
          acol="red", alty=1,alwd=1, theta=35, phi=20)

# Reset graphical parameters back to defaults
par(old.par)