# \donttest{
## (Graphic Display) Taxonomic diversity for abundance data
# Coverage-based rarefaction and extrapolation sampling curves
data(Brazil_rainforests)
output_TDc_abun = iNEXTbeta3D(data = Brazil_rainforests, diversity = 'TD',
datatype = 'abundance', base = "coverage", nboot = 10)
ggiNEXTbeta3D(output_TDc_abun, type = 'B')
ggiNEXTbeta3D(output_TDc_abun, type = 'D')
# }
# Size-based rarefaction and extrapolation sampling curves
data(Brazil_rainforests)
output_TDs_abun = iNEXTbeta3D(data = Brazil_rainforests, diversity = 'TD',
datatype = 'abundance', base = "size", nboot = 10)
ggiNEXTbeta3D(output_TDs_abun)
# \donttest{
## (Graphic Display) Taxonomic diversity for incidence data
# Coverage-based rarefaction and extrapolation sampling curves
data(Second_growth_forests)
output_TDc_inci = iNEXTbeta3D(data = Second_growth_forests, diversity = 'TD',
datatype = 'incidence_raw', base = "coverage", nboot = 10)
ggiNEXTbeta3D(output_TDc_inci, type = 'B')
ggiNEXTbeta3D(output_TDc_inci, type = 'D')
# }
# Size-based rarefaction and extrapolation sampling curves
data(Second_growth_forests)
output_TDs_inci = iNEXTbeta3D(data = Second_growth_forests, diversity = 'TD',
datatype = 'incidence_raw', base = "size", nboot = 10)
ggiNEXTbeta3D(output_TDs_inci)
# \donttest{
## (Graphic Display) Phylogenetic diversity for abundance data
# Coverage-based rarefaction and extrapolation sampling curves
data(Brazil_rainforests)
data(Brazil_tree)
output_PDc_abun = iNEXTbeta3D(data = Brazil_rainforests, diversity = 'PD',
datatype = 'abundance', base = "coverage", nboot = 10,
PDtree = Brazil_tree, PDreftime = NULL, PDtype = 'meanPD')
ggiNEXTbeta3D(output_PDc_abun, type = 'B')
ggiNEXTbeta3D(output_PDc_abun, type = 'D')
# Size-based rarefaction and extrapolation sampling curves
data(Brazil_rainforests)
data(Brazil_tree)
output_PDs_abun = iNEXTbeta3D(data = Brazil_rainforests, diversity = 'PD',
datatype = 'abundance', base = "size", nboot = 10,
PDtree = Brazil_tree, PDreftime = NULL, PDtype = 'meanPD')
ggiNEXTbeta3D(output_PDs_abun)
## (Graphic Display) Functional diversity for abundance data when all threshold levels
## from 0 to 1 are considered
# Coverage-based rarefaction and extrapolation sampling curves
data(Brazil_rainforests)
data(Brazil_distM)
output_FDc_abun = iNEXTbeta3D(data = Brazil_rainforests, diversity = 'FD',
datatype = 'abundance', base = "coverage", nboot = 10,
FDdistM = Brazil_distM, FDtype = 'AUC', FDcut_number = 30)
ggiNEXTbeta3D(output_FDc_abun, type = 'B')
ggiNEXTbeta3D(output_FDc_abun, type = 'D')
# Size-based rarefaction and extrapolation sampling curves
data(Brazil_rainforests)
data(Brazil_distM)
output_FDs_abun = iNEXTbeta3D(data = Brazil_rainforests, diversity = 'FD',
datatype = 'abundance', base = "size", nboot = 10,
FDdistM = Brazil_distM, FDtype = 'AUC', FDcut_number = 30)
ggiNEXTbeta3D(output_FDs_abun)
# }
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