solberg {mvabund} | R Documentation |
Solberg Data
Description
This dataset contains a list with abundance data of species and a factor variable.
Usage
data(solberg)
Format
A list containing the elements
- abund
a data frame containing 12 rows and has 53 variables, corresponding to the species. It has the following variables:
Paramesacanthion_sp.
,Halalaimus_sp.
,Viscosia_sp.
,
Symplocostoma_sp.
,Bathylaimus_inermis
,Bathylaimus_sp.
,
Rhabdodemania_sp.
,Pandolaimus_latilaimus
,Halanonchus_sp.
,
Trefusia_sp.
,Chromadora_sp.
,Dichromadora_sp.
,
Neochromadora_sp.
,Prochromadorella_sp.
,Neotonchus_sp.
,
Marylynnia_complexa
,Paracanthonchus_sp.
,Cyatholaimidae_un .
,
Choniolaimus_papillatus
,Halichoanolaimus_dolichurus
,
Richtersia_inaequalis
,Dorylaimopsis_punctatus
,
Sabatieria_longicaudata
,Sabatieria_punctata
,
Sabatieria_sp.
,Setosabieria_hilarula
,
Chromaspirina_sp.
,Molgolaimus_sp.
,
Spirinia_parasitifera
,Aponema_torosa
,
Microlaimus_sp.1
,Microlaimus_sp.2
,Camacolaimus_sp.
,
Leptolaimus_elegans
,Monhystera_sp.
,
Amphimonhystera_sp.
,Daptonema_sp.1
,Daptonema_sp.2
,
Daptonema_sp.3
,Theristus_aff_acer
,Xyalidae_un.
,
Sphaerolaimus_macrocirculus
,Sphaerolaimus_paradoxus
,
Desmolaimus_sp.
,Eleutherolaimus_sp.
,Eumorpholaimus_sp.
,
Terschellingia_longicaudata
,Paralinhomoeus_conicaudatus
,
Linhomieidae_un.A
,Linhomieidae_un.B
,Axonolaimus_sp.
,
Odontophora_sp.
,Unidentified
- x
a factor with the levels
control
,high
,low
Details
The abundance of each species was measured as the count of the number of organisms in the sample.
References
Gee J. M., Warwick R. M., Schaanning M., Berge J. A. and Ambrose W. G. Jr (1985) Effects of organic enrichment on meiofaunal abundance and community structure in sublittoral soft sediments. Journal of Experimental Marine Biology and Ecology. 91(3), 247-262.
Examples
data(solberg)
solbergdat <- mvabund( solberg$abund )
treatment <- solberg$x
## Create a formula for multivariate abundance data:
foo.sol <- mvformula( solbergdat ~ treatment )
## Fit a multivariate linear model:
lm.solberg <- manylm(foo.sol)
lm.solberg