R/boxplotperc.R

# Boxplot based on percentiles:

"boxplotperc.stats" <-
function (x, quant = c(0.02,0.98), do.conf = TRUE, do.out = TRUE)
{
    nna <- !is.na(x)
    n <- sum(nna)
    stats <- stats::fivenum(x, na.rm = TRUE)
    iqr <- diff(stats[c(2, 4)])
    stats[c(1, 5)] <- quantile(x,quant)  # PF
    if (any(quant<0 | quant>1))
        stop("'quant' must have two elements in the interval [0,1]")
    out <- x < stats[1] | x > stats[5]
    conf <- if (do.conf)
        stats[3] + c(-1.58, 1.58) * iqr/sqrt(n)
    list(stats = stats, n = n, conf = conf, out = x[out & nna])
}


"boxplotperc" <-
function (x, ..., quant = c(0.02,0.98), width = NULL, varwidth = FALSE, 
    notch = FALSE, outline = TRUE, names, plot = TRUE, border = par("fg"), 
    col = NULL, log = "", pars = list(boxwex = 0.8, staplewex = 0.5, 
        outwex = 0.5), horizontal = FALSE, add = FALSE, at = NULL) 
{
    args <- list(x, ...)
    namedargs <- if (!is.null(attributes(args)$names)) 
        attributes(args)$names != ""
    else rep(FALSE, length.out = length(args))
    pars <- c(args[namedargs], pars)
    groups <- if (is.list(x)) 
        x
    else args[!namedargs]
    if (0 == (n <- length(groups))) 
        stop("invalid first argument")
    if (length(class(groups))) 
        groups <- unclass(groups)
    if (!missing(names)) 
        attr(groups, "names") <- names
    else {
        if (is.null(attr(groups, "names"))) 
            attr(groups, "names") <- 1:n
        names <- attr(groups, "names")
    }
    for (i in 1:n) groups[i] <- list(boxplotperc.stats(groups[[i]], 
        quant))
    stats <- matrix(0, nrow = 5, ncol = n)
    conf <- matrix(0, nrow = 2, ncol = n)
    ng <- out <- group <- numeric(0)
    ct <- 1
    for (i in groups) {
        stats[, ct] <- i$stats
        conf[, ct] <- i$conf
        ng <- c(ng, i$n)
        if ((lo <- length(i$out))) {
            out <- c(out, i$out)
            group <- c(group, rep.int(ct, lo))
        }
        ct <- ct + 1
    }
    z <- list(stats = stats, n = ng, conf = conf, out = out, 
        group = group, names = names)
    if (plot) {
        bxp(z, width, varwidth = varwidth, notch = notch, log = log, 
            border = border, boxfill = col, pars = pars, outline = outline, 
            horizontal = horizontal, add = add, at = at)
        invisible(z)
    }
    else z
}

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StatDA documentation built on March 13, 2020, 2:42 a.m.