plot.results: Plot power curves and return analysis data
In rSPACE: Spatially-Explicit Power Analysis for Conservation and Ecology

Description Usage Arguments Value Author(s)

Load data and plot power curves for representing each subset in a specified rSPACE folder.

1	getResults(folder, CI = 0.95, returnData = 1, plot=T)

`folder`	Full path for rSPACE folder containing both simulation and analysis output
`CI`	Significance value for one-tailed test
`returnData`	Option to return contents of results file as a data.frame.
`plot`	Option to plot power curves [Logical, default=T]

If returnData=0, getResults returns nothing
returnData=1, the complete output for each analysis is returned
returnData=2, output of the analyses summarized by sampling intensity is returned.

For returnData=1, column headers include:

p_est Detection probability estimated from occupancy model
trend Trend parameter estimate from GLM using occupancy ests and vcv
trendSE Standard error of trend parameter
singular Number of singularities from estimated occupancy model
X1-X10 Occupancy estimates by year of simulation
n_grid Number of cells used for observed encounter history (subset)
n_visits Number of sampling occasions for subset
detP Per visit detection probability for subset
alt_model Alternative model specification for subset
rn Base name for original complete encounter history file used for subset
count Indicator variable for whether statistical criteria for detecting trend was met

For returnData=2, column headers include:

n_grid Number of cells used for observed encounter history (subset)
n_visits Number of sampling occasions for subset
detP Per visit detection probability for subset
alt_model Alternative model specification for subset
total Total number of replicates in which models ran successfully
count Number of replicates in which statistical criteria for detecting trend was met
n_runs Original number of replicates used