On 27/11/2018 7:53 AM, Thanh Tran wrote:
Dear all,
I'm trying to plot a surface over the x-y plane. In my data, the response
is KIC, and 4 factors are AC, AV, T, and Temp. I want to have response
surface of KIC with two factors, i.e., AC and AV. A typical second-degree
response modeling is as follows:
data<-read.csv("2.csv", header =T)
lm(KIC~AC+I(AC^2)+AV+I(AV^2)+T+I(T^2)+Temp+I(Temp^2)+AC:AV+AC:T+AC:Temp+AV:T+AV:Temp+T:Temp,
KIC <- function(AC, AV, Temp, T) predict(mod, newdata = data.frame(AC,
persp3d(KIC, xlim = c(4, 5), # The range of values for AC
+ ylim = c(4, 7), # The range for AV
+ xlab = "AC", ylab = "AV", zlab = "KIC",
+ col = "lightblue",
+ otherargs = list(Temp = 15, T = 40))
rgl.snapshot("1.png", fmt = "png", top = TRUE )
rgl.postscript("1.pdf","pdf")
The problem is that the figure created by *rgl.snapshot* (attached Figure
1) has low quality, while the figure created by *rgl.postscript*
Figure 2) doesn?t have adequate details.
You can improve the rgl.snapshot output by starting from a large window.
You can do this either by using the mouse to enlarge the window, or
specifying values for windowRect in par3d() or open3d(), e.g.
open3d(windowRect=c(0,0, 1800, 1800))
Whether very large values will be respected depends on the system. For
example, my Macbook Air reduces that request so the whole window is
visible,
[1] 0 45 1440 901
You can set the default to be a large window using
r3dDefaults <- getr3dDefaults()
r3dDefaults$windowRect <- c(0,0, 1800, 1800)
(This will only be respected by the *3d functions like open3d(), not the
low-level rgl.* functions like rgl.open().)
The rgl.postscript() display is limited by what the GL2PS library can
do, so if it doesn't do what you want, there's not much you can do to
improve it.
Duncan Murdoch
Can somebody please show me how to properly export the file? I would
the Figure have the TIFF or PDF with the resolution 600 dpi. I really
appreciate your support and help.
Best regards,
Nhat Tran
Ps: I also added a CSV file for practicing R.