A list structure containing all simulation results that are to be plotted.
The length of the main list indicates the number of separate plots to make.
Each list entry is itself a list, and corresponds to one plot and
needs to contain the following information/elements:
1. A data frame list element called "dat" or "ts". If the data frame is "ts" it is assumed to be
a time series and by default a line plot will be produced and labeled Time/Numbers.
For plotting, the data needs to be in a format with one column called xvals, one column yvals,
one column called varnames that contains names for different variables.
Varnames needs to be a factor variable or will be converted to one.
If a column 'varnames' exist, it is assumed the data is in the right format. Otherwise it will be transformed.
An optional column called IDvar can be provided for further grouping (i.e. multiple lines for stochastic simulations).
If plottype is 'mixedplot' an additional column called 'style' indicating line or point plot
for each variable is needed.
2. Meta-data for the plot, provided in the following variables:
optional: plottype - One of "Lineplot" (default if nothing is provided),"Scatterplot","Boxplot", "Mixedplot".
optional: xlab, ylab - Strings to label axes.
optional: xscale, yscale - Scaling of axes, valid ggplot2 expression, e.g. "identity" or "log10".
optional: xmin, xmax, ymin, ymax - Manual min and max for axes.
optional: makelegend - TRUE/FALSE, add legend to plot. Assume true if not provided.
optional: legendtitle - Legend title, if NULL/not supplied, default is used
optional: legendlocation - if "left" is specified, top left. Otherwise top.
optional: linesize - Width of line, numeric, i.e. 1.5, 2, etc. set to 1.5 if not supplied.
optional: pallette - overwrite plot colors by providing a vector of color names or hex numbers to be used for the plot.
optional: title - A title for each plot.
optional: for multiple plots, specify res[]$ncols to define number of columns