how to fill contour colors and write axes names in RSM (R)

Question

I have following data

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         


        

Answer 1

I pieced together a working example of your data (without your rownames). The object returned from the rsm function is classes "rsm" "lm", so it gets handled by persp.lm. That function has a hard-coded ylab specification and no provision for relabeling. It can be fixed (with a puzzling reversal of x and ylabs). I changed the line function in draw.cont.line to polygon and it illustrates the need for further efforts to link up the endpoints as mentioned in my comment below:

    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"))