plotAgeTraces: Traceplot
In edvinf/prepRECA: Prepares data for running R-ECA

Description Usage Arguments Details Examples

Plots a paneled plot with traces for age groups. That is the value for total catch at age in each iteration of eca.predict

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plotAgeTraces(prediction, unit = "millions", plusGroup = NULL,
  nclust = 4, iter.max = 20, nstart = 10, agecolors = NULL,
  lowerquant = 0.05, upperquant = 0.95, catlimit = 8, title = "")

`prediction`	as returned by `eca.predict` or `runRECA`.
`unit`	unit of traced estimates. See details.
`plusGroup`	Fish this age or older will be grouped in one trace.
`nclust`	the number of plots to distribute the ages and plus group on
`iter.max`	maximal number of iterations for k-means clustering deciding which ages are ploted in same plot.
`nstart`	the number of random sets chosen for the k-means clustering
`agecolors`	named vector matching ages to colors, if null a default color scheme is used
`lowerquant`	lower quantile in each age group to plot as points
`upperquant`	upper quantile in each age group to plot as points
`catlimit`	the upper limit for number of ages in a plot using categorical coloring. Plots with more than this number of ages will use a gradient coloring scheme
`title`	main title for plot

The number of iterations of eca.predict is determined by the parameter 'nSamples' to eca.estimate or runRECA and the parameter 'caa.burnin' (different from parameter 'burnin') to eca.predict or runRECA

parameter 'unit' supports:

number: Catch at age as number of fish
thousands: Catch at age as number of fish in thousands
millions: Catch at age as number of fish in millions
kg: Catch at age as mass in kilogrammes
T: Catch at age as mass in tons
kT: Catch at age as mass in kilotonnes

In order to trade off readability of plots with the number of panels needed. the traces are clustered with a simple clustering algorithm and grouped in the same plots accordingly. Adjust clustering parameters, to get fewer or more plots.