gridStatsLevel2BVPM(level2BVPM, func, res)

# specify the path to GEDI level2B data (zip file)
outdir = tempdir()
level2B_fp_zip <- system.file("extdata",
                  "GEDI02_B_2019108080338_O01964_T05337_02_001_01_sub.zip",
                  package="rGEDI")

# Unzipping GEDI level2A data
level2Bpath <- unzip(level2B_fp_zip,exdir = outdir)

# Reading GEDI level2B data (h5 file)
level2b<-readLevel2B(level2Bpath=level2Bpath)

# Get GEDI derived Canopy Cover and Vertical Profile Metrics
level2BVPM<-getLevel2BVPM(level2b)
head(level2BVPM)

#' Define your own function
mySetOfMetrics = function(x)
{
metrics = list(
   min =min(x), # Min of z
   max = max(x), # Max of z
   mean = mean(x), # Mean of z
   sd = sd(x)# Sd of z
   )
   return(metrics)
}

#' Computing a serie of statistics of GEDI derived canopy cover
cover_stats<-gridStatsLevel2BVPM(level2BVPM = level2BVPM, func=mySetOfMetrics(cover), res=0.005)
plot(cover_stats)

#' Computing the max of the Total Plant Area Index only
pai_max<-gridStatsLevel2BVPM(level2BVPM = level2BVPM, func=max(pai), res=0.005)
plot(pai_max)

#' Computing the Foliage Height Diversity Index only
fhd_mean<-gridStatsLevel2BVPM(level2BVPM = level2BVPM, func=mean(fhd_normal), res=0.005)
plot(fhd_mean)

close(level2b)