partiplot: Plotting Partitioned Diversity
In partitionr/PARTITIONR: Heirarchical Partitioning of Diversity

Description Usage Arguments Details Value See Also Examples

Graphical display of partitioned data. Graphics include a stacked bar chart and line plot. Both observed partition and expected partition (i.e., mean of the null statistical distributions) are shown in both the bar chart and line plot.

1	partiplot(part.obj, beta.type = "add", plot.type = "bar")

`part.obj`	an object of class `"partition"`, a result of a call to `partition`
`beta.type`	the method of partition to be plotted; if `"add"`, additive diversity will be plotted; if `"mult"`, multiplicative diversity will be plotted.
`plot.type`	the type of graph; if `"bar"`, a stacked bar chart will be plotted. if `"line"`, a line plot will be plotted with 95% CI error bars.

Function partiplot visualizes the partitioned data from an object of class partition.

The function uses ggplot to visualize the partitioned data. To save the graphic, use the ggsave] function.

A ggplot graphic of the observed and expected partition. "bar" represents a stacked bar chart with the y-axis representing a proportion of the gamma (regional) diversity explained by each level. "line" represents a line plot of the change in alpha- and beta-diversity of both observed and expected data. Error bars represent 95% CIs of null statistical distribution.

The diversiting partitioning function partition.

## Not run: 
## Plot a stacked bar chart of the additive partitioned data
partiplot(part.obj, beta.type = "add", plot.type = "bar")

## Plot a line plot of the multiplicative partitioned data
partiplot(part.obj, beta.type = "mult", plot.type = "line")

## End(Not run)