R语言vegan包使用教程(20)
时间:2025-07-13
时间:2025-07-13
R语言中的外在软件包“Vegan”是专门用于群落生态学分析的工具。Vegan能够提供所有基本的排序方法,同时具有生成精美排序图的功能,版本更新很快。我们认为Vegan包完全可以取代CANOCO,成为今后排序分析的首选统计工具。
4.1Modelspeci cation13
21
22
16
14
Cal.vul
Bet.pub
Bar.lyc75
1
216
Led.pal
Dic.fusCla.botPti.cilIch.eri
182
C23CVac.myrCla.criCla.arb0Des.fle20Cla.defDic.polEmp.nigCla.fimSte.spVac.uliCla.amaCla.uncCet.islPin.sylCla.cocCla.ranVac.vit
Cla.graDip.mon0
Ple.schKPol.junCla.corPoh.nutPol.pilCet.eri
Cla.chlCla.sp1127
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Hyl.splCla.phy
31
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28
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210Cet.nivP
9
2
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1
3 2 1
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CCA1
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3
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AC2
C 4A0
C 3C1 2 1
2
0 1 23
3
4
3
2
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1
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CCA1
17
2
610
75
ManagementBF11
18
1
Viclat
ManagementHF2
TripraAchmil
Plalan19
1
Brohor
RumaceAntodo
Trirep
Hyprad
2
LolperPoapra
BelperLeoautAC0Brarut
JunartCPoatriElyrep
ManagementNM
EmpnigPotpalAirpraSalrepJunbufElepal
RanflaSagproCalcus
9Alogen
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15
14
ManagementSF
ChealbCirarv20
12
2 13
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CCA1
4CONSTRAINEDORDINATION
thiswouldbetheproportionofvariance(orcorrelation).Thismayhaveaclearermeaning,buteveninthiscasemostofthetotalinertiamayberandomnoise.Itmaybebettertoconcentrateonresultsinsteadoftheseproportions.
Basicplottingworksjustlikeearlier:
>plot(a)
havesimilarinterpretationas ttedvectors:thearrowpointstothedirec-tionofthegradient,anditslengthindicatesthestrengthofthevariable
inthisdimensionalityofsolution.Thevectorswillbeofunitlengthinfullranksolution,buttheyareprojectedtotheplaneusedintheplot.Thereisalsoaprimitive3Dplottingfunctionordiplot3d(whichneedsuserinteractionfor nalgraphs)thatshowsallarrowsinfulllength:
>ordiplot3d(a,type="h")
Withfunctionordirglyoucanalsoinspect3Ddynamicplotsthatcanbespinnedorzoomedintowithyourmouse.
Theformulainterfaceworkswithfactorvariablesaswell:
>a<-cca(dune~Management,dune.env)>plot(a)>a
Call:cca(formula=dune~Management,data=dune.env)InertiaProportionRank
Total2.1151.000Constrained0.6040.2853Unconstrained1.5110.71516
InertiaismeansquaredcontingencycoefficientEigenvaluesforconstrainedaxes:CCA1CCA2CCA30.3190.1820.103
Eigenvaluesforunconstrainedaxes:
CA1CA2CA3CA4CA5CA6CA70.447370.203000.163010.134570.129400.094940.07904
CA8CA9CA10CA11CA12CA13CA140.065260.050040.043210.038700.023850.017730.00917
CA15CA160.007960.00416
FactorvariableManagementhadfourlevels(BF,HF,NM,SF).Internally
Rexpressedthesefourlevelsasthreecontrasts(sometimescalled“dummyvariables”).Theappliedcontrastslooklikethis:
ManagementHFManagementNMManagementSF
BF000SF001HF100NM
010
Wedonotneedbutthreevariablestoexpressfourlevels:ifthereis
numberoneinacolumn,theobservationbelongstothatlevel,andif
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