seAUC: Calculates the standard error of the AUC
In cghaase/GARPTools: Tools for GARP Data Prep and Model Evaluation

Description Usage Arguments Details Value See Also Examples

seAUC Returns the standard error of the AUC of the best model subset output from GARP.

1	seAUC(n, x, points)

`n`	a numeric value specifying the number of models in the best subset output from GARP
`x`	a raster object of the summated raster of the best models output from GARP
`points`	a spatial object of presence data to use for testing locations

For discrete cutpoints (n), represents the number of models that agree on a predicted presence location.

The raster object (x) should be a raster representing the number of models that agree on a predicted presence location per pixel and that outtput by sumRasters.

The shapefile points should presence locations that were not used by DesktopGARP for model training and those output by splitData.

Returns the standard error of the AUC.

aucGARP

  set.seed(0)
  library(raster)
  r   <- raster(ncols = 100, nrows = 100)
  r[] <- rbinom(5, 10, 0.3)
  hs  <- data.frame("Latitude" = c(-89, 72, 63, 42, 54), "Longitude" = c(-12, 13, 24, 26, 87), "Species" = rep("Homo_sapiens", 5))
  seAUC(n = 10, x = r, points = SpatialPoints(hs[,1:2]))