plot.plcfit: Plot a fitted vulnerability curve
In RemkoDuursma/fitplc: Fit Hydraulic Vulnerability Curves

Standard plots of fitted curves (objects returned by fitplc, fitplcs, fitcond or fitconds), with plenty of options for customization.

## S3 method for class 'plcfit'
plot(x, xlab = NULL, ylab = NULL, ylim = NULL,
  pch = 19, plotPx = TRUE, plotci = TRUE, plotdata = TRUE,
  plotfit = TRUE, add = FALSE, multiplier = NULL,
  px_ci = c("bootstrap", "parametric", "none"),
  px_ci_type = c("vertical", "horizontal"), px_ci_label = TRUE,
  plotrandom = FALSE, pointcol = "black", linecol = "black",
  linetype = 1, linelwd = 1, linecol2 = "blue", pxlinecol = "red",
  pxcex = 0.7, citype = c("polygon", "lines"), cicol = "#D3D3D3CC",
  what = c("relk", "PLC", "embol"), xaxis = c("positive", "negative"),
  ...)

## S3 method for class 'manyplcfit'
plot(x, what = c("relk", "embol", "PLC"),
  onepanel = FALSE, linecol = NULL, pointcol = NULL, pch = 19,
  legend = TRUE, legendwhere = "topright", ...)

`x`	A fitted curve returned by `fitplc`
`xlab, ylab`	Optionally, X and Y axis labels (if not provided, a default is used).
`ylim`	Optionally, Y-axis limits.
`pch`	Optionally, the plotting symbol (default = 19, filled circles)
`plotPx`	Logical (default TRUE), whether to plot a vertical line for the P50.
`plotci`	Logical (default TRUE), whether to plot the confidence interval (if computed with bootci=TRUE).
`plotdata`	Logical (default TRUE), whether to add the data to the plot.
`plotfit`	Logical (default TRUE), whether to add the fitted curve to the plot.
`add`	Logical (default FALSE), whether to add the plot to a current device. This is useful to overlay two plots or curves, for example.
`multiplier`	Multiply the scaled data (for plotting).
`px_ci`	Option for the confidence interval around Px, either 'parametric' (confidence interval computed with `confint`), 'bootstrap' (computed with non-parametric bootstrap) or 'none' (no plotting of the confidence interval) (formerly argument was called `selines`)
`px_ci_type`	Either 'vertical' (default), or 'horizontal', to plot confidence limits for Px.
`px_ci_label`	Logical (default TRUE), whether to write a label next to the CI for Px.
`plotrandom`	Logical. If TRUE (the default is FALSE), plots the predictions for the random effects (only if random effects were included in the model fit).
`pointcol`	The color(s) of the data points.
`linecol`	The color(s) of the fitted curve (or color of the random effects curves if plotrandom=TRUE).
`linetype`	Line type for fitted curve (see options for `lty` in `par`).
`linelwd`	Width of the line (see options for `lwd` in `par`).
`linecol2`	The color of the fixed effects curve (if plotrandom=TRUE; otherwise ignored).
`pxlinecol`	The color of the lines indicating Px and its confidence interval
`pxcex`	Character size for the Px label above the Y-axis.
`citype`	Either 'polygon' (default), or 'lines', specifying formatting of the confidence interval in the plot.
`cicol`	The color of the confidence interval band (if plotted).
`what`	Either 'relk' or 'PLC' (or synonym 'embol'); it will plot either relative conductivity or percent loss conductivity (percent embolism).
`xaxis`	Either 'positive' (default), so that water potential is plotted as positive values, or 'negative', plotting negative-valued water potentials.
`...`	Further parameters passed to `plot`, or `points` (when `add=TRUE`)
`onepanel`	For plotting of many curve fits, plot all curves in one panel (TRUE) or in separate panels (FALSE)
`legend`	(for fitconds and fitplcs only) Logical (default TRUE), whether to include a simple legend when plotting multiple fits
`legendwhere`	(for fitconds and fitplcs only) As in `legend`, specification of where to place legend (e.g. 'bottomleft'; coordinates not accepted)