accrate.age.ghost | R Documentation |

Plot a grey-scale representation of a core's estimated accumulation rates against time.

accrate.age.ghost( set = get("info"), age.lim = c(), age.lab = c(), age.res = 400, acc.res = 200, cutoff = 0.001, dark = 1, rgb.scale = c(0, 0, 0), rgb.res = 100, prob = 0.95, plot.range = TRUE, range.col = grey(0.5), range.lty = 2, plot.mean = TRUE, mean.col = "red", mean.lty = 2, plot.median = TRUE, median.col = "blue", median.lty = 2, acc.lim = c(), acc.lab = c(), BCAD = set$BCAD, cmyr = FALSE, rotate.axes = FALSE, rev.age = FALSE, rev.acc = FALSE, xaxs = "i", yaxs = "i", bty = "l" )

`set` |
Detailed information of the current run, stored within this session's memory as variable info. |

`age.lim` |
Minimum and maximum calendar age ranges, calculated automatically by default ( |

`age.lab` |
The labels for the calendar axis (default |

`age.res` |
Resolution or amount of greyscale pixels to cover the age scale of the plot. Default |

`acc.res` |
Resolution or amount of greyscale pixels to cover the accumulation rate scale plot. Default |

`cutoff` |
Point below which colours will no longer be printed. Default |

`dark` |
The darkest grey value is dark=1 by default; lower values will result in lighter grey but values >1 are not advised. |

`rgb.scale` |
The function to produce a coloured representation of all age-models. Needs 3 values for the intensity of red, green and blue. Defaults to grey-scales: |

`rgb.res` |
Resolution of the colour spectrum depicting the age-depth model. Default |

`prob` |
Probability ranges. Defaults to |

`plot.range` |
If |

`range.col` |
Colour of the confidence ranges. |

`range.lty` |
Line type of the confidence ranges. |

`plot.mean` |
If |

`mean.col` |
Colour of the mean accumulation rates. |

`mean.lty` |
Type of the mean lines. |

`plot.median` |
If |

`median.col` |
Colour of the median accumulation rates. |

`median.lty` |
Type of the median lines. |

`acc.lim` |
Axis limits for the accumulation rates. |

`acc.lab` |
Axis label for the accumulation rate. |

`BCAD` |
The calendar scale of graphs and age output-files is in |

`cmyr` |
Accumulation rates can be calculated in cm/year or year/cm. By default |

`rotate.axes` |
The default is to plot the calendar age horizontally and accumulation rates vertically. Change to |

`rev.age` |
The direction of the age axis, which can be reversed using |

`rev.acc` |
The direction of the accumulation rate axis, which can be reversed ( |

`xaxs` |
Extension of the x-axis. White space can be added to the vertical axis using |

`yaxs` |
Extension of the y-axis. White space can be added to the vertical axis using |

`bty` |
Type of box to be drawn around the plot ( |

Calculating accumulation rates against calendar age will take some time to calculate, and might show unexpected
rates around the core's maximum ages (only a few of all age-model iterations will reach such ages and they will tend to have
modelled accumulation rates for the lower depths much lower than the other iterations). Axis limits for accumulation rates
are estimated automatically, however upper limits can be very variable (and thus hard to predict) if calculated in `cm/yr`

.
Therefore you might want to manually adapt the axis limits after plotting with default settings (e.g., `acc.lim=c(0,1)`

). See also `accrate.depth.ghost`

, `accrate.depth`

and `accrate.age`

.
The grey-scale reconstruction around the oldest ages of any reconstruction often indicates very low accumulation rates.
This is due to only some MCMC iterations reaching those old ages, and these iterations will have modelled very slow accumulation rates.
Currently does not deal well with hiatuses, so do not interpret accumulation rates close to depths with inferred hiatuses.

A greyscale plot of accumulation rate against calendar age.

Maarten Blaauw, J. Andres Christen

## Not run: Bacon(run=FALSE, coredir=tempfile()) agedepth(age.res=20, d.res=20, d.by=10) layout(1) accrate.age.ghost(age.res=200, acc.res=100) ## End(Not run)

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