r - 如何在 RSM (R) 中填充轮廓颜色和写入轴名称

Question

我有以下数据

ct<-structure(list(Conc = c(50L, 100L, 150L, 50L, 100L, 150L, 50L, 
100L, 150L, 100L, 100L, 100L), kGy = c(10L, 10L, 10L, 15L, 15L, 
15L, 20L, 20L, 20L, 15L, 15L, 15L), CT.Y. = c(75L, 65L, 51L, 
87L, 93L, 89L, 81L, 86L, 78L, 92L, 93L, 92L)), .Names = c("Conc", 
"kGy", "CT.Y."), class = "data.frame", row.names = c(NA, -12L))

我正在使用以下 R 代码作为响应面

library(rsm)
ct.rsm<-rsm(CT.Y.~SO(Conc, kGy), data=ct)
persp(ct.rsm, Conc ~ kGy, col=rainbow(50), theta=60,
    phi=0, r = 3, d=1, border = NULL, ltheta = -135, lphi = 0
    , shade = 0.75, zlab="CT",ylab="Concentration %", col.axis=37, font.lab=2,col.lab=33,
    contour=("colors"))

一个问题是如何填充轮廓中的颜色？
另一个问题是关于轴标签。对于 X 轴和 Z 轴的标签，我可以对其进行标记，但是当我想包含 Y 轴的标签时，我收到以下错误。

Error in persp.default(dat$x, dat$y, dat$z, xlab = dat$labs[1], ylab = dat$labs[2],  : 
  formal argument "ylab" matched by multiple actual arguments

希望有人能在这方面帮助我。
提前致谢。

Answer 1

我拼凑了你的数据的一个工作示例(没有你的行名)。从 rsm 函数返回的对象是类“rsm”“lm”，因此它由 persp.lm 处理。该函数具有硬编码的 ylab 规范，并且没有重新标记的规定。它可以被修复(用 x 和 ylab 令人费解的反转)。我改了line函数在 draw.cont.line到多边形，它说明需要进一步努力连接端点，如我在下面的评论中提到的:

    persp.lm <- 
function (x, form, at, bounds, zlim, zlab, xlabs, col = "white", xlab=xlab,
    contours = NULL, hook, atpos = 3, theta = -25, phi = 20, 
    r = 4, border = NULL, box = TRUE, ticktype = "detailed", ylab,
    ... ) 
{
    draw.cont.line = function(line) {
        if (cont.varycol) {
            cont.col = col
            if (length(col) > 1) 
                cont.col = col[cut(c(line$level, dat$zlim), length(col))][1]
        }
        polygon(trans3d(line$x, line$y, cont.z, transf), col = cont.col, 
            lwd = cont.lwd)
    }
    plot.data = contour.lm(x, form, at, bounds, zlim, xlabs, 
        atpos = atpos, plot.it = FALSE)
    transf = list()
    if (missing(zlab)) 
        zlab = ""
    facet.col = col
    cont = !is.null(contours)
    if (mode(contours) == "logical") 
        cont = contours
    cont.first = cont
    cont.z = cz = plot.data[[1]]$zlim[1]
    cont.col = 1
    cont.varycol = FALSE
    cont.lwd = 1
    if (is.character(contours)) {
        idx = charmatch(contours, c("top", "bottom", "colors"), 
            0)
        if (idx == 1) {
            cont.first = FALSE
            cont.z = plot.data[[1]]$zlim[2]
        }
        else if (idx == 2) {
        }
        else if (idx == 3) {
            cont.varycol = TRUE
            if (length(col) < 2) 
                col = rainbow(40)
        }
        else cont.col = contours
    }
    else if (is.list(contours)) {
        if (!is.null(contours$z)) 
            cz = contours$z
        if (is.numeric(cz)) 
            cont.z = cz
        else if (cz == "top") {
            cont.first = FALSE
            cont.z = plot.data[[1]]$zlim[2]
        }
        if (!is.null(contours$col)) 
            cont.col = contours$col
        if (!is.null(contours$lwd)) 
            cont.lwd = contours$lwd
        if (charmatch(cont.col, "colors", 0) == 1) {
            cont.varycol = TRUE
            if (length(col) < 2) 
                col = rainbow(40)
        }
    }
    for (i in 1:length(plot.data)) {
        dat = plot.data[[i]]
        cont.lines = NULL
        if (!missing(hook)) 
            if (!is.null(hook$pre.plot)) 
                hook$pre.plot(dat$labs)
        if (cont) 
            cont.lines = contourLines(dat$x, dat$y, dat$z)
        if (cont && cont.first) {
            transf = persp(dat$x, dat$y, dat$z, zlim = dat$zlim, xlab=ylab,
                theta = theta, phi = phi, r = r, col = NA, border = NA, 
                box = FALSE)
            lapply(cont.lines, draw.cont.line)
            par(new = TRUE)
        }
        if (length(col) > 1) {
            nrz = nrow(dat$z)
            ncz = ncol(dat$z)
            zfacet = dat$z[-1, -1] + dat$z[-1, -ncz] + dat$z[-nrz, 
                -1] + dat$z[-nrz, -ncz]
            zfacet = c(zfacet/4, dat$zlim)
            facet.col = cut(zfacet, length(col))
            facet.col = col[facet.col]
        }
        transf = persp(dat$x, dat$y, dat$z, xlab = xlab, 
             zlab = zlab, zlim = dat$zlim, ylab=ylab,
            col = facet.col, border = border, box = box, theta = theta, 
            phi = phi, r = r, ticktype = ticktype)
        if (atpos == 3) 
            title(sub = dat$labs[5])
        if (cont && !cont.first) 
            lapply(cont.lines, draw.cont.line)
        if (!missing(hook)) 
            if (!is.null(hook$post.plot)) 
                hook$post.plot(dat$labs)
        plot.data[[i]]$transf = transf
    }
    invisible(plot.data)
}

persp(ct.rsm, Conc ~ kGy, col=rainbow(50), theta=60, xlab="Something",
    phi=0, r = 3, d=1, border = NULL, ltheta = -135, lphi = 0
    , shade = 0.75, zlab="CT",ylab="Concentration %", col.axis=37, font.lab=2,col.lab=33,
    contour=("colors"))