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#' plot.LD50 plot result of IC50() that best describe IC50
#' @title Plot results of LD50() that best describe LD50
#' @author Marc Girondot \email{marc.girondot@@gmail.com}
#' @return Nothing
#' @param x A result file generated by IC50()
#' @param ... Parameters for plot()
#' @param las.x las parameter for x axis
#' @param las.y las parameter for y axis
#' @param at Position of ticks in x-axis
#' @param lab.PT Label to describe pivotal dose
#' @param lab.TRD Label to describe transitional range of dose
#' @param col.TRD The color of TRD
#' @param col.TRD.CI The color of CI of TRD based on range.CI
#' @param col.PT.CI The color of CI of PT based on range.CI
#' @param show.CI Do the CI for the curve should be shown
#' @description Plot the estimates that best describe lethality of doses.
#' @family LD50 functions
#' @examples
#' \dontrun{
#' data <- data.frame(Doses=c(80, 120, 150, 150, 180, 200),
#' Alive=c(10, 12, 8, 6, 2, 1),
#' Dead=c(0, 1, 5, 6, 9, 15))
#' LD50_logistic <- LD50(data, equation="logistic")
#' predict(LD50_logistic, doses=c(140, 170))
#' plot(LD50_logistic, xlim=c(0, 300))
#' }
#' @method plot LD50
#' @export
plot.LD50 <- function(x, ...,
las.x=1, las.y=1, lab.PT="LD50", at=NULL,
lab.TRD=paste0("Transitional range of doses l=",l*100,"%"),
col.TRD="gray", col.TRD.CI=rgb(0.8, 0.8, 0.8, 0.5),
col.PT.CI=rgb(0.8, 0.8, 0.8, 0.5), show.CI=TRUE) {
range.CI.qnorm <- qnorm(1-((1-x$range.CI)/2))
l <- x$l
alive <- x$alive
dead <- x$dead
N <- x$N
doses <- x$doses
equation <- x$equation
par <- x$par
res <- x$SE
parP <- x$LD50
resP <- x$SE_LD50
result <- x
L <- list(...)
L1 <- modifyList(list(x=doses, y=alive/N, bty="n", type="n", xlab="Doses",
ylab="Alive proportion"), L)
L1 <- modifyList(L1, list(ylim=c(0,1), xaxt="n", las=las.y))
if (is.null(L$xlim)) {
L1 <- modifyList(L1, list(xlim=c(floor(min(doses)), floor(1+max(doses)))))
}
a <- do.call(plot, L1)
x2 <- (par("usr")[1]+par("usr")[2]*26)/27
x1 <- x2*26-par("usr")[2]/0.04
axis(1, at=at, las=las.x)
# je trace la TRD centree sur P
polygon(c(result$TRD_limits[1], result$TRD_limits[1], result$TRD_limits[2], result$TRD_limits[2]), c(0,1,1,0), border=NA, col=col.TRD)
# limites de la limite basse de la TRD
polygon(c(result$TRD_limits[1]+range.CI.qnorm*result$SE_TRD_limits[1], result$TRD_limits[1]+range.CI.qnorm*result$SE_TRD_limits[1], result$TRD_limits[1]-range.CI.qnorm*result$SE_TRD_limits[1], result$TRD_limits[1]-range.CI.qnorm*result$SE_TRD_limits[1]), c(0,1,1,0), border=NA, col=col.TRD.CI)
# limites de la limite haute de la TRD
polygon(c(result$TRD_limits[2]+range.CI.qnorm*result$SE_TRD_limits[2], result$TRD_limits[2]+range.CI.qnorm*result$SE_TRD_limits[2], result$TRD_limits[2]-range.CI.qnorm*result$SE_TRD_limits[2], result$TRD_limits[2]-range.CI.qnorm*result$SE_TRD_limits[2]), c(0,1,1,0), border=NA, col=col.TRD.CI)
# limites de la PT
polygon(c(parP-range.CI.qnorm*resP, parP-range.CI.qnorm*resP, parP+range.CI.qnorm*resP, parP+range.CI.qnorm*resP), c(0,1,1,0), border=NA, col=col.PT.CI)
par(xpd=TRUE)
segments(parP, 0, parP, 1.05, lty=4)
segments(result$TRD_limits[1], 0, result$TRD_limits[1], 1.15, lty=3)
segments(result$TRD_limits[2], 0, result$TRD_limits[2], 1.15, lty=3)
text(x=parP, y=1.1, lab.PT)
text(x=parP, y=1.2, lab.TRD)
b <- getFromNamespace(".BinomialConfidence", ns="HelpersMG")(alive,N)
L1 <- modifyList(list(x=doses, y=alive/N, bty="n", type="p", ylim=c(0,1), y.plus = b[,3], y.minus = b[,2]), L)
L1 <- modifyList(L1, list(ylim=c(0,1), xlab="", ylab="", main="", axes=FALSE, xlim=c(x1, x2)))
par(xpd=FALSE)
par(new=TRUE)
a <- do.call(plot_errbar, L1)
if (!is.null(result$CI)) {
x <- result$CI["doses", ]
p <- result$CI["mean", ]
par(new=TRUE)
L1 <- modifyList(list(x=x, y=p, bty="n"), L)
L1 <- modifyList(L1, list(ylim=c(0,1), axes=FALSE, xlab="", ylab="", type="l", main="", xlim=c(x1, x2)))
a <- do.call(plot, L1)
if (show.CI) {
pm <- result$CI["2.5%", ]
pp <- result$CI["97.5%", ]
par(new=TRUE)
L1 <- modifyList(list(x=x, y=pm, bty="n"), L)
L1 <- modifyList(L1, list(ylim=c(0,1), axes=FALSE, xlab="", ylab="", type="l", main="", lty=2, xlim=c(x1, x2)))
a <- do.call(plot, L1)
par(new=TRUE)
L1 <- modifyList(list(x=x, y=pp, bty="n"), L)
L1 <- modifyList(L1, list(ylim=c(0,1), axes=FALSE, xlab="", ylab="", type="l", main="", lty=2, xlim=c(x1, x2)))
a <- do.call(plot, L1)
}
}
}
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