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# Authors: Pierre-Alexandre Fonta, Matthias Studer, Gilbert Ritschard (2018)
plot.stslist.surv <- function(x, cpal = NULL, ylab = NULL, xlab = NULL, xaxis = TRUE,
yaxis = TRUE, xtstep = NULL, tick.last = NULL, #cex.axis = 1,
...) {
sep.ylab <- (isFALSE(yaxis) && (is.null(ylab) || !is.na(ylab)))
#cex.lab <- par("cex.lab")
#if ("cex.lab" %in% names(list(...))) cex.lab <- list(...)[["cex.lab"]]
#las <- par("las")
#if ("las" %in% names(list(...))) las <- list(...)[["las"]]
if (yaxis) yaxt <- "s" else yaxt <- "n"
if (is.null(cpal)) cpal <- attr(x, "cpal")
if (is.null(ylab)) ylab <- "Percentage of unterminated spells"
if (sep.ylab) {
sylab <- ylab
ylab <- NA
}
if (is.null(xtstep)) {
xtstep <- ifelse(!is.null(attr(x, "xtstep")), attr(x, "xtstep"), 1)
}
if(is.null(tick.last)){
tick.last <- ifelse(!is.null(attr(x, "tick.last")), attr(x, "tick.last"), FALSE)
}
if (is.null(xlab)) xlab <- "Time since start of the spell"
c <- class(x)
class(x) <- c[c != "stslist.surv"]
if ("survfit" %in% class(x)) {
plot(x, col = cpal, xlab = xlab, ylab = ylab, #cex.axis = cex.axis,
xaxt = "n", yaxt = yaxt, ...)
if (isTRUE(xaxis)) {
times <- sort(unique(x$time))
time.range <- seq(1, max(times))
tpos <- seq(1, max(times), xtstep)
if (tick.last & tpos[length(tpos)] < max(times)) tpos <- c(tpos,max(times))
#axis(1, at = tpos, labels = time.range[tpos], cex.axis = cex.axis, las=las)
axis(1, at = tpos, labels = time.range[tpos], ...)
}
} else { ## x==0 when no cases are selected, plot an empty frame
plot(0, type = "n", col = cpal, xlab = xlab, ylab = ylab, #cex.axis = cex.axis,
xaxt = "n", yaxt = "n", ...)
}
if (sep.ylab)
title(ylab=sylab, line=1, ...)
}
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