compute_recruitment: Compute Annual Recruitment Rates in Forest Inventories
In EcoFoG/ForestData: Post-inventory processing of Forest Census datasets

Description Usage Arguments Value Examples

This function computes recruitment in forest inventories according to plot

compute_recruitment(
  data,
  status_col = "status_corr",
  time_col = ifelse(is.null(getOption("time_col")), "CensusYear",
    getOption("time_col")),
  id_col = ifelse(is.null(getOption("id_col")), "idTree", getOption("id_col")),
  dead_confirmation_censuses = 2,
  byplot = TRUE,
  plot_col = ifelse(is.null(getOption("plot_col")), "Plot", getOption("plot_col")),
  corrected = TRUE
)

`data`	A data.frame containing a time-series tree-wise forest inventory -i.e. every line is a single tree measurement for a single year.
`status_col`	Character. The name of the column containing tree vital status - 0=dead; 1=alive.
`time_col`	Character. The name of the column containing census year
`id_col`	Character. The name of the column containing trees unique ids
`dead_confirmation_censuses`	Integer, defaults to 2. This is the number of censuses needed to state that a tree is considered dead, if unseen. In Paracou, we use the rule-of-thumb that if a tree is unseen twice, its probability to be actually dead is close to 1. The choice of this value involves that trees unseen during the X-1 last inventories can not be corrected for death, and thus mortality rates should not be calculated for these censuses.
`byplot`	Logical. If there are several plots in your dataset, the correction is performed by plot, in case these would not be censuses the same years or with the same frequencies one another.
`plot_col`	Character. The name of the column containing the plots indices.
`corrected`	Logical. Indicates whether the dataset has been corrected for errors in tree life status; if not it will be corrected beforehand using correct_alive function

A data.frame with absolute and annual recruitment rates by plot and census interval.

## Not run: 
data("example_census")
suppressWarnings(compute_recruitment(example_census,
status_col="status_corr",
time_col="CensusYear",
id_col="idTree",
dead_confirmation_censuses=2,
byplot = TRUE,
plot_col = "Plot",
corrected = TRUE))

## End(Not run)