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Plot Events

Source: R/AllGenerics.R, R/plot.R
plot_events.Rd

Plots credible intervals or HPD regions of a series of events.

Usage

# S4 method for class 'MCMC,missing'
plot(
  x,
  calendar = get_calendar(),
  density = TRUE,
  interval = NULL,
  level = 0.95,
  sort = TRUE,
  decreasing = TRUE,
  main = NULL,
  sub = NULL,
  ann = graphics::par("ann"),
  axes = TRUE,
  frame.plot = FALSE,
  panel.first = NULL,
  panel.last = NULL,
  col.density = "grey",
  col.interval = "#77AADD",
  ...
)

Arguments

x

An MCMC object.

calendar

A aion::TimeScale object specifying the target calendar (see aion::calendar()).

density

A logical scalar: should estimated density be plotted?

interval

A character string specifying the confidence interval to be drawn. It must be one of "credible" (credible interval) or "hdr" (highest posterior density interval). Any unambiguous substring can be given. If NULL (the default) no interval is computed.

level

A length-one numeric vector giving the confidence level.

sort

A logical scalar: should the data be sorted?

decreasing

A logical scalar: should the sort order be decreasing? Only used if sort is TRUE.

main

A character string giving a main title for the plot.

sub

A character string giving a subtitle for the plot.

ann

A logical scalar: should the default annotation (title and x and y axis labels) appear on the plot?

axes

A logical scalar: should axes be drawn on the plot?

frame.plot

A logical scalar: should a box be drawn around the plot?

panel.first

An an expression to be evaluated after the plot axes are set up but before any plotting takes place. This can be useful for drawing background grids.

panel.last

An expression to be evaluated after plotting has taken place but before the axes, title and box are added.

col.density, col.interval

A specification for the plotting colors.

...

Extra parameters to be passed to stats::density().

Value

plot() is called it for its side-effects: it results in a graphic being displayed (invisibly returns x).

See also

stats::density()

Other plot methods: plot_phases

Author

A. Philippe, M.-A. Vibet, T. S. Dye, N. Frerebeau

Examples

## Coerce to MCMC
eve <- as_events(mcmc_events, calendar = CE(), iteration = 1)

## Summary
summary(eve, calendar = CE())
#>      mad  mean  sd   min    q1 median    q3  max start   end
#> E1  -900  -638 272 -1349  -889   -658  -386   -5 -1046  -202
#> E2 -1766 -1785 100 -2000 -1857  -1785 -1719 -971 -1981 -1611
#> E3  -702  -656  92 -1229  -717   -672  -611  -67  -803  -450
#> E4 -1241 -1236  87 -1864 -1289  -1235 -1181 -719 -1401 -1064
summary(eve, calendar = BP())
#>     mad mean   sd  min   q1 median   q3  max start  end
#> E1 2850 2588 1680 3299 2839   2608 2338 1957  2998 2154
#> E2 3716 3737 1852 3950 3807   3735 3671 2923  3933 3561
#> E3 2652 2608 1860 3181 2667   2624 2561 2017  2753 2400
#> E4 3191 3186 1863 3814 3239   3187 3131 2669  3351 3016

## Plot events
plot(eve, calendar = CE(), interval = "credible", level = 0.68)

plot(eve, calendar = BP(), interval = "hdr", level = 0.68)

plot(eve[, 1], interval = "hdr")


## Compute phases
pha <- phases(eve, groups = list(B = c(2, 4), A = c(1, 3)))

## Summary
summary(pha, calendar = CE())
#> $B
#>            mad  mean  sd   min    q1 median    q3   max start   end
#> start    -1766 -1785 100 -2000 -1857  -1785 -1719 -1223 -1981 -1611
#> end      -1240 -1235  87 -1833 -1289  -1235 -1181  -719 -1404 -1067
#> duration   561   551 132     5   464    552   639  1157   297   806
#> 
#> $A
#>           mad mean  sd   min   q1 median   q3  max start  end
#> start    -708 -773 148 -1349 -890   -749 -671 -207 -1059 -501
#> end      -690 -521 169 -1050 -670   -537 -384   -5  -776 -214
#> duration  278  253 138     1  151    249  345  880     1  487
#> 
summary(pha, calendar = BP())
#> $B
#>           mad mean   sd  min   q1 median   q3  max start  end
#> start    3718 3737 1852 3950 3807   3735 3671 3173  3933 3561
#> end      3192 3187 1863 3783 3239   3187 3131 2669  3354 3019
#> duration 1391 1401 1820 1945 1488   1398 1311  793  1653 1146
#> 
#> $A
#>           mad mean   sd  min   q1 median   q3  max start  end
#> start    2660 2723 1802 3299 2840   2701 2623 2157  3011 2453
#> end      2640 2473 1783 3000 2622   2487 2334 1957  2726 2166
#> duration 1674 1699 1814 1949 1801   1703 1607 1072  1949 1465
#> 

## Plot phases
plot(pha, calendar = BP())

plot(pha, succession = "hiatus")

plot(pha, succession = "transition")