# ppdPlot

##### R function for plotting Posterior Probability Densities for Bayesian modeled 14C dates/parameters

The function allows plot Posterior Probability Densities with a nice outlook thanks to 'ggplot2'. It takes as input a dataframe that must be organized as follows (it is rather easy to do that once the data have been exported from OxCal): -calendar dates (first column to the left); -posterior probabilities (second column); -grouping variables (third column), which could contain the names of the events of interest (e.g., phase 1 start, phase 1 end, phase 2 start, phase 2 end, etc).

- Keywords
- ppdPlot

##### Usage

`ppdPlot(data, lower = min(data[, 1]), upper = max(data[, 1]), type)`

##### Arguments

- data
Dataframe containing the data as returned by the OxCal program.

- lower
Lower limit of the calendar date axis.

- upper
Upper limit of the calendar date axis; if the lower and upper parameters are not provided, the default values will be the earliest and latest calendar dates.

- type
Type of plot the user wishes to plot (a: curves outlined by a line; b: curves plotted as solid areas; c: combination of a and b).

##### Examples

```
# NOT RUN {
#load a toy dataset
data(radioc_data)
#plot the Posterior Probability Densities for the phases' parameters
ppdPlot(radioc_data, type="a")
#plot the Posterior Probability Densities for the phases' parameters,
# setting different boundaries for the x-axis and using filled curves instead of simple outlines
ppdPlot(radioc_data, -1000, 100, type="b")
# }
```

*Documentation reproduced from package GmAMisc, version 1.0.0, License: GPL (>= 2)*