Modifying chart.Correlation function's so that pch are colored based on it's value in factor column

Question

Could You please help to modify this function so that lower.panel plot circles are colored and color is dependent of specific value of factor column? I have similar data to "Iris" data.frame, so, the factor column could be 'species'. I highlighted the part where i was trying to mold 'bg' function, that works for 'pairs'.

Here is the code i'm trying to adjust:

#### chart.Correlation

function (R,histogram = TRUE, method = c("pearson", "kendall", 
    "spearman"), ...) 
{

    x = checkData(R, method = "matrix")
    if (missing(method)) 
        method = method[1]
    panel.cor <- function(x, y, digits = 2, prefix = "", use = "pairwise.complete.obs", 
        method = "pearson", cex.cor, ...) {
        usr <- par("usr")
        on.exit(par(usr))
        par(usr = c(0, 1, 0, 1))
        r <- cor(x, y, use = use, method = method)
        txt <- format(c(r, 0.123456789), digits = digits)[1]
        txt <- paste(prefix, txt, sep = "")
        if (missing(cex.cor)) 
            cex <- 0.8/strwidth(txt)
        test <- cor.test(as.numeric(x), as.numeric(y), method = method)
        Signif <- symnum(test$p.value, corr = FALSE, na = FALSE, 
            cutpoints = c(0, 0.001, 0.01, 0.05, 0.1, 1), symbols = c("***", 
                "**", "*", ".", " "))
        text(0.5, 0.5, txt, cex = cex * (abs(r) + 0.3)/1.3)
        text(0.8, 0.8, Signif, cex = cex, col = 2)
    }
    f <- function(t) {
        dnorm(t, mean = mean(x), sd = sd.xts(x))
    }
    dotargs <- list(...)
    dotargs$method <- NULL
    rm(method)   
    hist.panel = function(x, ... = NULL) {
        par(new = TRUE)
        hist(x, col = "white", probability = TRUE, axes = FALSE, 
            main = "", breaks = "FD")
        lines(density(x, na.rm = TRUE), col = "red", lwd = 1)
        rug(x)
    }
    if (histogram) 
        pairs(x, gap = 0,lower.panel = panel.smooth, upper.panel = panel.cor, 
            diag.panel = hist.panel)
    else pairs(x, gap = 0, lower.panel = panel.smooth, upper.panel = panel.cor)
}

Answer 1

omg i did it myself.. So, here is the edited code:

function (R,L,histogram = TRUE, method = c("pearson", "kendall", 
"spearman"), ...) 
{
l = checkData(L, method = "zoo")
x = checkData(R, method = "matrix")
if (missing(method)) 
    method = method[1]
panel.cor <- function(x, y, digits = 2, prefix = "", use = "pairwise.complete.obs", 
    method = "pearson", cex.cor, ...) {
    usr <- par("usr")
    on.exit(par(usr))
    par(usr = c(0, 1, 0, 1))
    r <- cor(x, y, use = use, method = method)
    txt <- format(c(r, 0.123456789), digits = digits)[1]
    txt <- paste(prefix, txt, sep = "")
    if (missing(cex.cor)) 
        cex <- 0.8/strwidth(txt)
    test <- cor.test(as.numeric(x), as.numeric(y), method = method)
    Signif <- symnum(test$p.value, corr = FALSE, na = FALSE, 
        cutpoints = c(0, 0.001, 0.01, 0.05, 0.1, 1), symbols = c("***", 
            "**", "*", ".", " "))
    text(0.5, 0.5, txt, cex = cex * (abs(r) + 0.3)/1.6)
    text(0.8, 0.8, Signif, cex = 2, col = 2)
}
f <- function(t) {
    dnorm(t, mean = mean(x), sd = sd.xts(x))
}
dotargs <- list(...)
dotargs$method <- NULL
rm(method)   
hist.panel = function(x, ... = NULL) {
    par(new = TRUE)
    hist(x, col = "white", probability = TRUE, axes = FALSE, 
        main = "", breaks = "FD")
    lines(density(x, na.rm = TRUE), col = "red", lwd = 1)
    rug(x)
}
if (histogram) 
    pairs(x, bg = c("red","green")[l],gap = 0, pch = 21,lower.panel = panel.smooth, upper.panel = panel.cor, 
        diag.panel = hist.panel)
else pairs(x, gap = 0, lower.panel = panel.smooth, upper.panel = panel.cor)

}