## S4 method for signature 'pomp_plottable'plot( x, variables, panel = lines, nc =NULL, yax.flip =FALSE, mar = c(0,5.1,0,if(yax.flip)5.1else2.1), oma = c(6,0,5,0), axes =TRUE,...)## S4 method for signature 'Pmcmc'plot(x,..., pars)## S4 method for signature 'Abc'plot(x,..., pars, scatter =FALSE)## S4 method for signature 'Mif2'plot(x,..., pars, transform =FALSE)## S4 method for signature 'probed_pomp'plot(x, y,...)## S4 method for signature 'spectd_pomp'plot( x,..., max.plots.per.page =4, plot.data =TRUE, quantiles = c(0.025,0.25,0.5,0.75,0.975), quantile.styles = list(lwd =1, lty =1, col ="gray70"), data.styles = list(lwd =2, lty =2, col ="black"))## S4 method for signature 'bsmcd_pomp'plot(x, pars, thin,...)## S4 method for signature 'probe_match_objfun'plot(x, y,...)## S4 method for signature 'spect_match_objfun'plot(x, y,...)
Arguments
x: the object to plot
variables: optional character; names of variables to be displayed
panel: function of the form panel(x, col, bg, pch, type, ...) which gives the action to be carried out in each panel of the display.
nc: the number of columns to use. Defaults to 1 for up to 4 series, otherwise to 2.
yax.flip: logical; if TRUE, the y-axis (ticks and numbering) should flip from side 2 (left) to 4 (right) from series to series.
mar, oma: the parmar and oma settings. Modify with care!
axes: logical; indicates if x- and y- axes should be drawn
...: ignored or passed to low-level plotting functions
pars: names of parameters.
scatter: logical; if FALSE, traces of the parameters named in pars will be plotted against ABC iteration number. If TRUE, the traces will be displayed or as a scatterplot.
transform: logical; should the parameter be transformed onto the estimation scale?
y: ignored
max.plots.per.page: positive integer; maximum number of plots on a page
plot.data: logical; should the data spectrum be included?
quantiles: numeric; quantiles to display
quantile.styles: list; plot styles to use for quantiles
data.styles: list; plot styles to use for data
thin: integer; when the number of samples is very large, it can be helpful to plot a random subsample: thin specifies the size of this subsample.