summaryRprof <- function(filename = "Rprof.out", chunksize = 5000)
{
    rprof <- file(filename)
    open(rprof, "r")
    on.exit(close(rprof))
    head  <-  scan(rprof,  nlines = 1, what = list("", interval=0), sep = "=",
                   quiet = TRUE)

    total <- new.env(hash = TRUE)
    self <- new.env(hash = TRUE)
    inc <- function(f, e){
        if (exists(f, envir = e, inherits = FALSE))
            assign(f, get(f, envir = e)+1, envir = e)
        else
            assign(f, 1, envir = e)
    }
    count <- 0
    repeat({
        chunk <- readLines(rprof, n = chunksize)
        nread <- length(chunk)
        if (nread == 0)
            break
        count <- count+nread
        thelines <- strsplit(chunk, " ", fixed=TRUE)
        lapply(thelines, function (a.line){
            lapply(unique(a.line), inc, e = total)
            inc(a.line[[1]], e = self)
        })
        if (nread < chunksize)
            break
    })
    if(count == 0) stop("no events were recorded")
    totalt <- sapply(ls(envir = total), function(f) get(f, envir = total))
    selft <- sapply(ls(envir = self), function(f) get(f, envir = self))

    digits <- ifelse(head$interval < 1e4, 3, 2)
    totalpct <- round(totalt*100/count, 1)
    selfpct <- round(selft*100/sum(selft), 1)
    totalt <- round(totalt*head$interval/1e6, digits)
    selft <- round(selft*head$interval/1e6, digits)

    combine <- merge(data.frame(self.time = selft, self.pct = selfpct),
                     data.frame(total.time = totalt, total.pct = totalpct),
                     by = 0, all = TRUE)
    row.names(combine) <- combine[, "Row.names"]
    combine <- combine[, -1]
    combine$self.time[is.na(combine$self.time)] <- 0
    combine$self.pct[is.na(combine$self.pct)] <- 0
    list(by.self = combine[order(-combine$self.time), ],
         by.total = combine[order(-combine$total.time), c(3,4,1,2)],
         sampling.time = count * head$interval/1e6)
}