我试图绘制一堆与两个连续变量和一个离散变量相关的测量的薄板样条响应曲面。到目前为止,我一直根据离散变量对数据进行子集生成成对的图,但我认为应该有一种方法来创建一些简洁的分块状图。似乎可以通过在ggplot2
中以geom_tile
和geom_contour
分面热图来完成这一点,但我卡在了:
(1) 如何重新组织数据(或解释预测表面数据)以与ggplot2
绘图?
(2) 使用基础图形创建分块状热图的语法?或
(3) 使用rsm
图形来完成这一点(rsm
可以处理高阶曲面,因此我可以在某种程度上强制事情,但绘图没有完全分块)。
以下是我到目前为止所做的示例:
library(fields)
library(ggplot2)
sumframe<-structure(list(Morph = c("LW", "LW", "LW", "LW", "LW", "LW",
"LW", "LW", "LW", "LW", "LW", "LW", "LW", "SW", "SW", "SW", "SW",
"SW", "SW", "SW", "SW", "SW", "SW", "SW", "SW", "SW"), xvalue = c(4,
8, 9, 9.75, 13, 14, 16.25, 17.25, 18, 23, 27, 28, 28.75, 4, 8,
9, 9.75, 13, 14, 16.25, 17.25, 18, 23, 27, 28, 28.75), yvalue = c(17,
34, 12, 21.75, 29, 7, 36.25, 14.25, 24, 19, 36, 14, 23.75, 17,
34, 12, 21.75, 29, 7, 36.25, 14.25, 24, 19, 36, 14, 23.75), zvalue = c(126.852666666667,
182.843333333333, 147.883333333333, 214.686666666667, 234.511333333333,
198.345333333333, 280.9275, 246.425, 245.165, 247.611764705882,
266.068, 276.744, 283.325, 167.889, 229.044, 218.447777777778,
207.393, 278.278, 203.167, 250.495, 329.54, 282.463, 299.825,
286.942, 372.103, 307.068)), .Names = c("Morph", "xvalue", "yvalue",
"zvalue"), row.names = c(NA, -26L), class = "data.frame")
sumframeLW<-subset(sumframe, Morph=="LW")
sumframeSW<-subset(sumframe, Morph="SW")
split.screen(c(1,2))
screen(n=1)
surf.teLW<-Tps(cbind(sumframeLW$xvalue, sumframeLW$yvalue), sumframeLW$zvalue, lambda=0.01)
summary(surf.teLW)
surf.te.outLW<-predict.surface(surf.teLW)
image(surf.te.outLW, col=tim.colors(128), xlim=c(0,38), ylim=c(0,38), zlim=c(100,400), lwd=5, las=1, font.lab=2, cex.lab=1.3, mgp=c(2.7,0.5,0), font.axis=1, lab=c(5,5,6), xlab=expression("X value"), ylab=expression("Y value"),main="LW plot")
contour(surf.te.outLW, lwd=2, labcex=1, add=T)
points(sumframeLW$xvalue, sumframeLW$yvalue, pch=21)
abline(a=0, b=1, lty=1, lwd=1.5)
abline(a=0, b=1.35, lty=2)
screen(n=2)
surf.teSW<-Tps(cbind(sumframeSW$xvalue, sumframeSW$yvalue), sumframeSW$zvalue, lambda=0.01)
summary(surf.teSW)
surf.te.outSW<-predict.surface(surf.teSW)
image(surf.te.outSW, col=tim.colors(128), xlim=c(0,38), ylim=c(0,38), zlim=c(100,400), lwd=5, las=1, font.lab=2, cex.lab=1.3, mgp=c(2.7,0.5,0), font.axis=1, lab=c(5,5,6), xlab=expression("X value"), ylab=expression("Y value"),main="SW plot")
contour(surf.te.outSW, lwd=2, labcex=1, add=T)
points(sumframeSW$xvalue, sumframeSW$yvalue, pch=21)
abline(a=0, b=1, lty=1, lwd=1.5)
abline(a=0, b=1.35, lty=2)
close.screen(all.screens=TRUE)
pkg:rgl
是这项工作的一个很好的环境。 - IRTFM