change specific word color in wordcloud

Question

I would like to build a word cloud with R (I have done so with the package wordcloud) and then color specific words a certain color. Currently the behavior of the function is to color words according to frequency (which can be useful) but word size already does this so I'd want to use color for additional meaning.

Any idea on how to color specific words in wordcloud? (If there's another wordcloud function in R I'm unaware of I'm more than willing to go that route.)

A mock example and my attempt (I tried to treat the color argument in the same manor I would a regular plot from the plot function):

library(wordcloud)

x <- paste(rep("how do keep the two words as one chunk in the word cloud", 3), 
           collapse = " ")
X <- data.frame(table(strsplit(x, " ")))
COL <- ifelse(X$Var1 %in% c("word", "cloud", "words"), "red", "black")
wordcloud(X$Var1, X$Freq, color=COL)

EDIT: I wanted to add that the new version of wordcloud (Jan 10, 2010; version 2.0)[Thank you Ian Fellows & David Robinson] now was this feature along with some other terrific additions. Here is the code to accomplish the original goal within wordcloud:

wordcloud(X$Var1, X$Freq, color=COL, ordered.colors=TRUE, random.color=FALSE)

Answer 1

EDIT: As described in the comments, the feature described below has now been added to the wordcloud library.

---

My approach was to take the R function's code and customize it. It required changing only a few lines, and can now take either a single color or a vector of colors of the same length as words.

library(wordcloud)

colored.wordcloud <- function(words,freq,scale=c(4,.5),min.freq=3,max.words=Inf,random.order=TRUE,random.color=FALSE,
        rot.per=.1,colors="black",ordered.colors=FALSE,use.r.layout=FALSE,...) { 
    tails <- "g|j|p|q|y"
    last <- 1
    nc<- length(colors)

    if (ordered.colors) {
        if (length(colors) != 1 && length(colors) != length(words)) {
            stop(paste("Length of colors does not match length of words",
                       "vector"))
        }
    }

    overlap <- function(x1, y1, sw1, sh1) {
        if(!use.r.layout)
            return(.overlap(x1,y1,sw1,sh1,boxes))
        s <- 0
        if (length(boxes) == 0) 
            return(FALSE)
        for (i in c(last,1:length(boxes))) {
            bnds <- boxes[[i]]
            x2 <- bnds[1]
            y2 <- bnds[2]
            sw2 <- bnds[3]
            sh2 <- bnds[4]
            if (x1 < x2) 
                overlap <- x1 + sw1 > x2-s
            else 
                overlap <- x2 + sw2 > x1-s

            if (y1 < y2) 
                overlap <- overlap && (y1 + sh1 > y2-s)
            else 
                overlap <- overlap && (y2 + sh2 > y1-s)
            if(overlap){
                last <<- i
                return(TRUE)
            }
        }
        FALSE
    }

    ord <- rank(-freq, ties.method = "random")
    words <- words[ord<=max.words]
    freq <- freq[ord<=max.words]
    if (ordered.colors) {
        colors <- colors[ord<=max.words]
    }

    if(random.order)
        ord <- sample.int(length(words))
    else
        ord <- order(freq,decreasing=TRUE)
    words <- words[ord]
    freq <- freq[ord]
    words <- words[freq>=min.freq]
    freq <- freq[freq>=min.freq]
    if (ordered.colors) {
        colors <- colors[ord][freq>=min.freq]
    }

    thetaStep <- .1
    rStep <- .05
    plot.new()
    op <- par("mar")
    par(mar=c(0,0,0,0))
    plot.window(c(0,1),c(0,1),asp=1)
    normedFreq <- freq/max(freq)
    size <- (scale[1]-scale[2])*normedFreq + scale[2]
    boxes <- list()



    for(i in 1:length(words)){
        rotWord <- runif(1)<rot.per
        r <-0
        theta <- runif(1,0,2*pi)
        x1<-.5
        y1<-.5
        wid <- strwidth(words[i],cex=size[i],...)
        ht <- strheight(words[i],cex=size[i],...)
        #mind your ps and qs
        if(grepl(tails,words[i]))
            ht <- ht + ht*.2
        if(rotWord){
            tmp <- ht
            ht <- wid
            wid <- tmp  
        }
        isOverlaped <- TRUE
        while(isOverlaped){
            if(!overlap(x1-.5*wid,y1-.5*ht,wid,ht) &&
                    x1-.5*wid>0 && y1-.5*ht>0 &&
                    x1+.5*wid<1 && y1+.5*ht<1){
        if (!random.color) {
                if (ordered.colors) {
                    cc <- colors[i]
                }
                else {
                    cc <- ceiling(nc*normedFreq[i])
                    cc <- colors[cc]
                }
        } else {
         cc <- colors[sample(1:nc,1)]
        }
                text(x1,y1,words[i],cex=size[i],offset=0,srt=rotWord*90,
                        col=cc,...)
                #rect(x1-.5*wid,y1-.5*ht,x1+.5*wid,y1+.5*ht)
                boxes[[length(boxes)+1]] <- c(x1-.5*wid,y1-.5*ht,wid,ht)
                isOverlaped <- FALSE
            }else{
                if(r>sqrt(.5)){
                    warning(paste(words[i],
                                    "could not be fit on page. It will not be plotted."))
                    isOverlaped <- FALSE
                }
                theta <- theta+thetaStep
                r <- r + rStep*thetaStep/(2*pi)
                x1 <- .5+r*cos(theta)
                y1 <- .5+r*sin(theta)
            }
        }
    }
    par(mar=op)
    invisible()
}

Some code to try it out:

colors = c("blue", "red", "orange", "green")
colored.wordcloud(colors, c(10, 5, 3, 9), colors=colors)