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#' Plot of a growth curve showing raw data and fitted curve
#'
#' @title Generic plot function for datatype cellGrowthFit
#' @param x growth curve object. See \code{\link{fitCellGrowth}}
#' @param scaleX scalar affecting the scaling of the x-axis.
#' @param xlab plot parameter
#' @param ylab plot parameter
#' @param lwd plot parameter
#' @param ... optional plot parameters passed to the plot function
#' @author Andreas Neudecker
#' @examples
#' # Parse file
#' dat = readYeastGrower( system.file("extdata", "Plate1_YPFruc.txt", package="cellGrowth") )
#'
#' # fit
#' n <- names( dat$OD)[36]
#' fit <- fitCellGrowth(x=dat$time,z=log2(dat$OD[[n]]), model = "locfit")
#' plot(fit)
#' @export
plot.cellGrowthFit <- function (
x, scaleX = 1, xlab="time", ylab="log2(OD)", lwd=0.5,...
){
fit = x
cols = c("#000000","#377EB8","#E41A1C")
time <- attr(fit,"x")
value <- attr(fit,"z")
plot(time*scaleX,value,lwd=lwd, xlab=xlab, ylab=ylab,...)
if( !inherits(fit, "try-error" ) ){
lines(time*scaleX, predict(fit,time), lwd=2, col=cols[1])
if ( !is.null(attr(fit,"pointOfMaxGrowthRate")) )
{
# max growth rate
xMaxGrowthRate = time[attr(fit,"pointOfMaxGrowthRate")]
yMaxGrowthRate = predict(fit,data.frame(x=xMaxGrowthRate))
maxGrowthRate = attr(fit,"maxGrowthRate")
xMaxGrowthRate = xMaxGrowthRate*scaleX
maxGrowthRate = maxGrowthRate/scaleX
abline(yMaxGrowthRate - maxGrowthRate*xMaxGrowthRate,maxGrowthRate,untf=TRUE,col=cols[2],lwd=2)
}
# maximum
abline(h=attr(fit,"max"),col=cols[3],lwd=2)
if ( is.null(attr(fit,"pointOfMaxGrowthRate")) )
legend( "bottomright", legend=c(
paste("fit (",attr(fit,"model"),")"),
paste("maximum (",format(attr(fit,"max"),scientific=TRUE,digits=4),")")
),
lwd=lwd, col=cols[-2] )
else
legend( "bottomright", legend=c(
paste("fit (",attr(fit,"model"),")"),
paste("max growth rate (",format(maxGrowthRate,scientific=TRUE,digits=4),")"),
paste("maximum (",format(attr(fit,"max"),scientific=TRUE,digits=4),")")
),
lwd=lwd, col=cols )
}
}
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