library(vegan)## Carregando pacotes exigidos: permute## Carregando pacotes exigidos: lattice## This is vegan 2.6-4library(ape)
library(ggplot2)
library(FactoMineR)
library(ade4)##
## Attaching package: 'ade4'## The following object is masked from 'package:FactoMineR':
##
## reconstlibrary(gplots)## Warning: package 'gplots' was built under R version 4.2.3##
## Attaching package: 'gplots'## The following object is masked from 'package:stats':
##
## lowesslibrary(BBmisc)## Warning: package 'BBmisc' was built under R version 4.2.3##
## Attaching package: 'BBmisc'## The following object is masked from 'package:base':
##
## isFALSElibrary(factoextra)## Welcome! Want to learn more? See two factoextra-related books at https://goo.gl/ve3WBa1) Os peixes utilizam o estuário para alimentação, moradia, reprodução, crescimento. Para conhecer a comunidade de peixes de um estuário tropical foram amostradas três regiões do estuário: superior, médio e inferior e em dois períodos: seco e chuvoso. Descreva a comunidade de peixes utilizando técnicas multivariadas (peixeestuario.txt).
A comunidade de são diferentes nas três regiões. A região superior é a mais diferente em relação as outras, enquanto a média e inferior compartilham de algumas espécies. No entanto, não houve diferença entre o periodo chuvoso e o périodo seco.
dado<-read.table("C:/Users/aureo/OneDrive/Área de Trabalho/Rstudio/peixeestuario.txt")
names(dado)## [1] "A.declivis" "A.lineatus" "A.vulpes" "A.tricolor"
## [5] "A.clupeoides" "A.striatus" "A.brasiliensis" "B.soporator"
## [9] "C.bartholomaei" "C.crysus" "C.latus" "C.parallelus"
## [13] "C.pectinatus" "C.undecimalis" "C.edentulus" "C.faber"
## [17] "C.arenaceus" "C.spilopterus" "C.leiarchus" "D.volitans"
## [21] "D.rhombeus" "E.pisonis" "E.argenteus" "E.gula"
## [25] "E.melanopterus" "Eucinostomussp." "E.brasilianus" "F.petimba"
## [29] "G.oceanicus" "C.smaragdus" "G.stomatus" "G.ocellatus"
## [33] "H.parra" "H.clupeola" "H.roberti" "H.unifasciatus"
## [37] "L.trigonus" "L.analis" "L.griseus" "L.jocu"
## [41] "L.synagris" "L.grossidens" "M.furnieri" "M.curema"
## [45] "Mugilsp." "O.vespetilio" "O.palometa" "O.saurus"
## [49] "O.oglinum" "P.brasiliensis" "P.virginicus" "P.corvinaeformis"
## [53] "P.punctatus" "P.maculatus" "R.amazonica" "S.cavalla"
## [57] "S.isthmensis" "S.vomer" "S.amplum" "S.radians"
## [61] "S.greeleyi" "S.spengleri" "S.testudineus" "S.barracuda"
## [65] "S.plagusia" "S.tessellatus" "S.foetens" "T.nenattereri"
## [69] "Setor" "Periodo"nrow(dado);ncol(dado)## [1] 36## [1] 70dados<-dado[1:36,1:68]dadost<-sqrt(dados)
matriz<-vegdist(dadost,upper=FALSE, "bray")
acop<- pcoa(matriz)
summary(acop)## Length Class Mode
## correction 2 -none- character
## note 1 -none- character
## values 6 data.frame list
## vectors 936 -none- numeric
## trace 1 -none- numericacop$values## Eigenvalues Relative_eig Rel_corr_eig Broken_stick Cum_corr_eig
## 1 2.942028729 0.2482044976 0.186851157 0.1211238232 0.1868512
## 2 1.843837330 0.1555554892 0.120083161 0.0917120585 0.3069343
## 3 1.157261602 0.0976324710 0.078340633 0.0770061762 0.3852750
## 4 1.002273138 0.0845568563 0.068917622 0.0672022546 0.4541926
## 5 0.952326951 0.0803431422 0.065880987 0.0598493134 0.5200736
## 6 0.669847321 0.0565117248 0.048706750 0.0539669605 0.5687803
## 7 0.571945077 0.0482521939 0.042754476 0.0490649997 0.6115348
## 8 0.494796074 0.0417435118 0.038063960 0.0448633190 0.6495987
## 9 0.456743177 0.0385331760 0.035750414 0.0411868485 0.6853492
## 10 0.379996810 0.0320584624 0.031084378 0.0379188746 0.7164335
## 11 0.346362935 0.0292209377 0.029039501 0.0349776981 0.7454730
## 12 0.236904557 0.0199864726 0.022384635 0.0323039013 0.7678577
## 13 0.223538702 0.0188588611 0.021572016 0.0298529209 0.7894297
## 14 0.185458013 0.0156461806 0.019256781 0.0275904775 0.8086865
## 15 0.167819120 0.0141580740 0.018184369 0.0254896372 0.8268708
## 16 0.149540395 0.0126159878 0.017073056 0.0235288529 0.8439439
## 17 0.139956604 0.0118074505 0.016490379 0.0216906176 0.8604343
## 18 0.109356304 0.0092258536 0.014629938 0.0199605138 0.8750642
## 19 0.108189318 0.0091274008 0.014558988 0.0183265268 0.8896232
## 20 0.079336601 0.0066932389 0.012804796 0.0167785392 0.9024280
## 21 0.070782799 0.0059715967 0.012284741 0.0153079510 0.9147127
## 22 0.061651987 0.0052012750 0.011729604 0.0139073908 0.9264423
## 23 0.025911319 0.0021860106 0.009556638 0.0125704924 0.9359990
## 24 0.017142750 0.0014462495 0.009023525 0.0112917200 0.9450225
## 25 0.009528254 0.0008038519 0.008560578 0.0100662298 0.9535831
## 26 0.001218060 0.0001027617 0.008055334 0.0088897592 0.9616384
## 27 0.000000000 0.0000000000 0.007359136 0.0077585375 0.9689976
## 28 -0.010232912 -0.0008633005 0.006875143 0.0066692129 0.9758727
## 29 -0.018193563 -0.0015349015 0.006608859 0.0056187927 0.9824816
## 30 -0.022573377 -0.0019044048 0.004963133 0.0046045939 0.9874447
## 31 -0.049642060 -0.0041880565 0.004182625 0.0036242018 0.9916273
## 32 -0.062479753 -0.0052711095 0.003362705 0.0026754351 0.9949900
## 33 -0.075965697 -0.0064088523 0.003057163 0.0017563175 0.9980472
## 34 -0.080991213 -0.0068328304 0.001952821 0.0008650519 1.0000000
## 35 -0.099155282 -0.0083652436 0.000000000 0.0000000000 1.0000000
## 36 -0.131275034 -0.0110750291 0.000000000 0.0000000000 1.0000000
## Cumul_br_stick
## 1 0.1211238
## 2 0.2128359
## 3 0.2898421
## 4 0.3570443
## 5 0.4168936
## 6 0.4708606
## 7 0.5199256
## 8 0.5647889
## 9 0.6059758
## 10 0.6438946
## 11 0.6788723
## 12 0.7111762
## 13 0.7410291
## 14 0.7686196
## 15 0.7941093
## 16 0.8176381
## 17 0.8393287
## 18 0.8592892
## 19 0.8776158
## 20 0.8943943
## 21 0.9097023
## 22 0.9236097
## 23 0.9361801
## 24 0.9474719
## 25 0.9575381
## 26 0.9664279
## 27 0.9741864
## 28 0.9808556
## 29 0.9864744
## 30 0.9910790
## 31 0.9947032
## 32 0.9973786
## 33 0.9991349
## 34 1.0000000
## 35 1.0000000
## 36 1.0000000biplot(acop)
abline(h=0,lty=,col=1,lwd=1)
abline(v=0,lty=2,col=1,lwd=1)
biplot(acop,dados)## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skipped
## Warning in arrows(0, 0, y[, 1L] * 0.8, y[, 2L] * 0.8, col = col[2L], length =
## arrow.len): zero-length arrow is of indeterminate angle and so skippedabline(h=0,lty=2,col=1,lwd=1)
abline(v=0,lty=2,col=1,lwd=1)
acop<-cmdscale(matriz, k=3)
regiao<-c(rep("S",3),rep("M",3),rep("I",3),rep("S",3),rep("M",3),rep("I",3),rep("S",3),rep("M",3),rep("I",3),rep("S",3),rep("M",3),rep("I",3))
fator<-factor(regiao)
par(mar=c(5,5,2,2))
ordiplot(scores(acop), type="n", las=1,cex.lab=1.6, xlab="PCoA1 ", ylab="PCoA2 ")## species scores not availablecols=c("skyblue","orange","springgreen1")
pt=c(15:17)
points(acop,cex=2,pch=pt[fator],col=cols[fator], bg=cols[fator])
for (i in 1:nlevels (fator)) {
ordihull (acop, col=cols, fator, show.groups=levels (fator) [i])}
legend("topright", legend=levels (fator), bty="n", text.col=cols, cex=1.6)
acop<-cmdscale(matriz, k=2)
periodo<-c(rep("S",18),rep("C",18))
fator<-factor(periodo)
par(mar=c(5,5,2,2))
ordiplot(scores(acop), type="n", las=1,cex.lab=1.6, xlab="PCoA1 ", ylab="PCoA2 ")## species scores not availablecols=c("skyblue","orange","springgreen1")
pt=c(15:17)
points(acop,cex=2,pch=pt[fator],col=cols[fator], bg=cols[fator])
for (i in 1:nlevels (fator)) {
ordihull (acop, col=cols, fator, show.groups=levels (fator) [i])}
legend("topright", legend=levels (fator), bty="n", text.col=cols, cex=1.6)
dadost<-log1p(dados)
dadost## A.declivis A.lineatus A.vulpes A.tricolor A.clupeoides A.striatus
## SecSA1 0.0000000 0.0000000 0.000000 0.000000 2.6390573 0.0000000
## SecSA2 0.0000000 0.0000000 0.000000 0.000000 3.3322045 0.0000000
## SecSA3 0.6931472 0.0000000 0.000000 0.000000 1.7917595 0.0000000
## SecMA1 0.0000000 0.0000000 0.000000 0.000000 2.8332133 0.0000000
## SecMA2 0.0000000 0.0000000 0.000000 0.000000 3.1354942 0.0000000
## SecMA3 0.0000000 0.0000000 0.000000 0.000000 3.1354942 0.0000000
## SecIA1 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## SecIA2 0.0000000 0.0000000 1.386294 0.000000 0.0000000 0.0000000
## SecIA3 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## SecSA1b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## SecSA2b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.6931472
## SecSA3b 0.0000000 1.0986123 0.000000 0.000000 0.0000000 0.0000000
## SecMA1b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## SecMA2b 0.0000000 0.0000000 0.000000 0.000000 3.4339872 0.0000000
## SecMA3b 0.0000000 0.0000000 0.000000 0.000000 3.3322045 0.0000000
## SecIA1b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## SecIA2b 0.0000000 0.0000000 1.098612 0.000000 0.0000000 0.0000000
## SecIA3b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvSA1 0.0000000 0.6931472 0.000000 0.000000 1.0986123 0.0000000
## ChuvSA2 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvSA3 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvMA1 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvMA2 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvMA3 0.0000000 0.0000000 0.000000 0.000000 1.0986123 0.0000000
## ChuvIA1 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvIA2 0.0000000 0.0000000 1.098612 0.000000 0.0000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 1.609438 0.000000 0.0000000 0.0000000
## ChuvSA1b 0.6931472 0.0000000 0.000000 1.098612 0.6931472 0.0000000
## ChuvSA2b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvSA3b 0.0000000 0.6931472 0.000000 1.098612 0.0000000 0.0000000
## ChuvMA1b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvMA2b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvMA3b 0.0000000 0.0000000 0.000000 1.791759 2.7725887 0.0000000
## ChuvIA1b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## A.brasiliensis B.soporator C.bartholomaei C.crysus C.latus
## SecSA1 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## SecSA2 0.0000000 1.0986123 0.0000000 0.000000 0.0000000
## SecSA3 0.0000000 0.6931472 0.0000000 0.000000 0.6931472
## SecMA1 1.0986123 0.0000000 0.0000000 0.000000 0.6931472
## SecMA2 1.9459101 0.0000000 0.0000000 0.000000 0.0000000
## SecMA3 1.0986123 0.0000000 0.0000000 0.000000 0.0000000
## SecIA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecSA1b 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## SecSA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecSA3b 0.0000000 1.0986123 0.0000000 0.000000 0.0000000
## SecMA1b 1.6094379 0.0000000 0.0000000 0.000000 0.0000000
## SecMA2b 2.7080502 1.3862944 0.0000000 2.397895 0.0000000
## SecMA3b 3.9702919 0.0000000 0.0000000 0.000000 0.0000000
## SecIA1b 1.0986123 0.0000000 0.0000000 0.000000 0.6931472
## SecIA2b 1.0986123 0.0000000 0.0000000 0.000000 0.6931472
## SecIA3b 1.7917595 0.0000000 0.0000000 0.000000 1.0986123
## ChuvSA1 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## ChuvSA2 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## ChuvSA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA1 3.0910425 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA2 3.1354942 0.0000000 0.0000000 1.098612 1.0986123
## ChuvMA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 0.6931472 0.000000 0.0000000
## ChuvSA1b 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## ChuvSA2b 0.0000000 0.0000000 0.0000000 0.000000 0.6931472
## ChuvSA3b 0.0000000 1.3862944 0.0000000 0.000000 0.0000000
## ChuvMA1b 2.3025851 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA2b 0.6931472 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## C.parallelus C.pectinatus C.undecimalis C.edentulus C.faber
## SecSA1 0.0000000 4.0073332 2.1972246 0.000000 0.0000000
## SecSA2 2.4849066 5.1532916 2.3978953 0.000000 0.0000000
## SecSA3 0.6931472 0.6931472 0.0000000 0.000000 0.0000000
## SecMA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecMA2 0.6931472 0.0000000 0.6931472 0.000000 0.0000000
## SecMA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecSA1b 0.0000000 0.6931472 1.0986123 1.609438 0.0000000
## SecSA2b 0.0000000 0.0000000 0.6931472 3.433987 0.0000000
## SecSA3b 0.0000000 0.0000000 1.0986123 4.158883 0.0000000
## SecMA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecMA2b 0.0000000 0.0000000 0.0000000 0.000000 0.6931472
## SecMA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvSA1 0.0000000 0.0000000 0.0000000 4.276666 0.0000000
## ChuvSA2 0.0000000 0.0000000 0.0000000 1.098612 0.0000000
## ChuvSA3 0.6931472 0.0000000 0.0000000 2.079442 0.0000000
## ChuvMA1 0.0000000 0.0000000 0.6931472 0.000000 0.0000000
## ChuvMA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA3 0.6931472 1.0986123 0.0000000 0.000000 0.0000000
## ChuvIA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvSA1b 0.0000000 0.0000000 0.0000000 2.890372 0.0000000
## ChuvSA2b 2.0794415 2.3978953 1.6094379 2.079442 0.0000000
## ChuvSA3b 0.0000000 0.0000000 1.6094379 2.708050 0.0000000
## ChuvMA1b 0.0000000 0.0000000 0.0000000 0.000000 0.6931472
## ChuvMA2b 0.0000000 0.0000000 0.0000000 1.098612 0.0000000
## ChuvMA3b 0.0000000 0.0000000 0.0000000 4.454347 0.0000000
## ChuvIA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## C.arenaceus C.spilopterus C.leiarchus D.volitans D.rhombeus E.pisonis
## SecSA1 0.6931472 2.6390573 0.000000 0.0000000 0.0000000 0.0000000
## SecSA2 0.0000000 1.7917595 0.000000 0.6931472 1.3862944 0.0000000
## SecSA3 0.0000000 1.6094379 0.000000 0.0000000 3.1354942 0.0000000
## SecMA1 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## SecMA2 0.6931472 2.0794415 0.000000 0.0000000 3.7376696 0.0000000
## SecMA3 0.0000000 0.0000000 0.000000 0.0000000 2.8903718 0.0000000
## SecIA1 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## SecIA2 1.0986123 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## SecIA3 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## SecSA1b 0.0000000 2.0794415 0.000000 0.0000000 1.7917595 0.0000000
## SecSA2b 0.0000000 1.7917595 0.000000 0.0000000 2.3978953 0.0000000
## SecSA3b 0.0000000 0.0000000 0.000000 0.6931472 3.0445224 0.0000000
## SecMA1b 0.0000000 0.0000000 0.000000 0.0000000 1.7917595 0.0000000
## SecMA2b 0.0000000 0.0000000 0.000000 0.0000000 3.8286414 0.0000000
## SecMA3b 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## SecIA1b 1.3862944 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## SecIA2b 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## SecIA3b 0.6931472 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## ChuvSA1 0.6931472 1.6094379 0.000000 0.0000000 3.5263605 0.6931472
## ChuvSA2 0.0000000 2.9444390 0.000000 0.0000000 3.9318256 0.0000000
## ChuvSA3 0.0000000 3.4011974 0.000000 0.0000000 0.6931472 0.0000000
## ChuvMA1 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## ChuvMA2 0.0000000 0.0000000 0.000000 0.0000000 0.6931472 0.0000000
## ChuvMA3 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## ChuvIA1 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## ChuvIA2 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## ChuvSA1b 0.0000000 1.7917595 1.945910 0.0000000 3.7841896 0.0000000
## ChuvSA2b 0.0000000 2.8332133 1.098612 0.0000000 4.0943446 0.0000000
## ChuvSA3b 0.0000000 2.0794415 1.791759 0.0000000 1.3862944 0.0000000
## ChuvMA1b 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## ChuvMA2b 0.0000000 0.0000000 0.000000 0.6931472 1.3862944 0.0000000
## ChuvMA3b 0.0000000 0.6931472 0.000000 0.0000000 1.6094379 0.0000000
## ChuvIA1b 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## ChuvIA2b 0.0000000 0.6931472 0.000000 0.0000000 0.0000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## E.argenteus E.gula E.melanopterus Eucinostomussp. E.brasilianus
## SecSA1 0.0000000 0.0000000 0.0000000 1.098612 0.0000000
## SecSA2 0.0000000 1.7917595 0.0000000 0.000000 0.0000000
## SecSA3 0.6931472 1.0986123 1.6094379 0.000000 2.8903718
## SecMA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecMA2 0.6931472 1.7917595 1.0986123 0.000000 2.7725887
## SecMA3 1.7917595 0.6931472 0.0000000 1.098612 2.0794415
## SecIA1 2.0794415 1.9459101 0.0000000 0.000000 0.0000000
## SecIA2 0.6931472 0.6931472 0.0000000 0.000000 0.0000000
## SecIA3 1.6094379 1.9459101 0.0000000 0.000000 0.0000000
## SecSA1b 0.0000000 0.0000000 0.6931472 0.000000 0.0000000
## SecSA2b 0.0000000 1.0986123 1.3862944 0.000000 0.0000000
## SecSA3b 0.0000000 1.6094379 1.7917595 0.000000 0.0000000
## SecMA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecMA2b 1.3862944 0.0000000 1.6094379 0.000000 1.7917595
## SecMA3b 0.6931472 0.0000000 0.0000000 0.000000 1.9459101
## SecIA1b 1.0986123 0.0000000 0.0000000 0.000000 0.0000000
## SecIA2b 0.6931472 0.0000000 1.6094379 0.000000 0.0000000
## SecIA3b 0.0000000 0.0000000 1.3862944 0.000000 0.0000000
## ChuvSA1 2.3025851 1.7917595 1.7917595 0.000000 1.7917595
## ChuvSA2 2.0794415 2.0794415 2.3978953 0.000000 0.6931472
## ChuvSA3 1.3862944 0.6931472 0.6931472 0.000000 0.0000000
## ChuvMA1 0.0000000 0.0000000 0.6931472 0.000000 0.0000000
## ChuvMA2 1.3862944 1.0986123 1.7917595 0.000000 0.0000000
## ChuvMA3 0.0000000 0.0000000 0.0000000 0.000000 0.6931472
## ChuvIA1 1.0986123 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA2 1.3862944 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvSA1b 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## ChuvSA2b 2.0794415 0.0000000 2.1972246 0.000000 2.3978953
## ChuvSA3b 1.0986123 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA1b 0.6931472 0.6931472 1.6094379 0.000000 0.0000000
## ChuvMA2b 0.0000000 0.6931472 1.7917595 0.000000 0.6931472
## ChuvMA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## F.petimba G.oceanicus C.smaragdus G.stomatus G.ocellatus H.parra
## SecSA1 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA2 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA3 0.0000000 0.000000 0.0000000 0.0000000 0.6931472 0.0000000
## SecMA1 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA2 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA3 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA1 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA2 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA3 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA1b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA2b 0.0000000 0.000000 0.6931472 1.0986123 0.0000000 0.0000000
## SecSA3b 0.0000000 0.000000 0.0000000 1.7917595 0.0000000 0.0000000
## SecMA1b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA2b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.6931472
## SecMA3b 0.6931472 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA1b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA2b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA3b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA1 0.0000000 0.000000 1.0986123 0.6931472 0.0000000 0.0000000
## ChuvSA2 0.0000000 1.945910 0.0000000 1.7917595 0.0000000 0.0000000
## ChuvSA3 0.0000000 0.000000 0.0000000 1.0986123 0.0000000 0.0000000
## ChuvMA1 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA2 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA3 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA1 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA2 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA3 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA1b 0.6931472 1.098612 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA2b 0.0000000 0.000000 0.0000000 0.6931472 0.0000000 0.0000000
## ChuvSA3b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA1b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 1.7917595
## ChuvMA2b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA3b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.6931472
## ChuvIA1b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA2b 0.6931472 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA3b 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.0000000
## H.clupeola H.roberti H.unifasciatus L.trigonus L.analis L.griseus
## SecSA1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA1 1.9459101 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA2 3.0910425 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA3 1.0986123 0.6931472 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA1b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.6931472
## SecSA2b 1.7917595 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA3b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA1b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA2b 5.3132060 0.0000000 0.0000000 0.6931472 0.0000000 0.0000000
## SecMA3b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA1b 1.7917595 0.0000000 1.7917595 0.0000000 0.0000000 0.0000000
## SecIA2b 2.8332133 0.0000000 1.0986123 0.6931472 0.0000000 0.0000000
## SecIA3b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA1 0.6931472 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.0986123
## ChuvMA1 2.1972246 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA2 1.0986123 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA3 1.6094379 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA2 2.7725887 0.0000000 0.6931472 0.0000000 0.0000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA1b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA2b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA3b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA1b 1.6094379 0.0000000 0.0000000 0.0000000 0.6931472 0.0000000
## ChuvMA2b 2.4849066 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA3b 1.3862944 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA1b 1.9459101 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA3b 1.0986123 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## L.jocu L.synagris L.grossidens M.furnieri M.curema Mugilsp.
## SecSA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 1.3862944
## SecSA2 1.3862944 0.0000000 0.0000000 0.000000 0.0000000 1.0986123
## SecSA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecMA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecMA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.6931472
## SecMA3 0.0000000 0.6931472 0.0000000 0.000000 0.0000000 1.6094379
## SecIA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecIA2 0.0000000 0.6931472 0.0000000 0.000000 0.0000000 0.0000000
## SecIA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecSA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecSA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecSA3b 0.6931472 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecMA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecMA2b 0.0000000 0.6931472 0.0000000 0.000000 0.0000000 0.0000000
## SecMA3b 0.0000000 1.3862944 0.0000000 0.000000 0.0000000 0.0000000
## SecIA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## SecIA2b 0.0000000 1.0986123 0.0000000 0.000000 0.0000000 0.0000000
## SecIA3b 0.0000000 0.6931472 0.0000000 0.000000 0.0000000 0.0000000
## ChuvSA1 0.0000000 0.0000000 3.4339872 0.000000 0.0000000 0.0000000
## ChuvSA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## ChuvSA3 0.0000000 0.0000000 0.6931472 0.000000 0.0000000 0.0000000
## ChuvMA1 0.0000000 0.6931472 0.6931472 0.000000 0.0000000 0.0000000
## ChuvMA2 0.0000000 1.0986123 0.0000000 0.000000 0.0000000 0.0000000
## ChuvMA3 0.0000000 0.0000000 1.3862944 0.000000 0.6931472 0.0000000
## ChuvIA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## ChuvIA2 0.0000000 0.0000000 0.6931472 0.000000 0.0000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## ChuvSA1b 0.6931472 0.0000000 1.0986123 1.098612 0.0000000 0.0000000
## ChuvSA2b 0.0000000 0.0000000 1.0986123 0.000000 0.0000000 0.0000000
## ChuvSA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## ChuvMA1b 0.0000000 0.6931472 0.0000000 0.000000 0.0000000 0.0000000
## ChuvMA2b 0.0000000 0.0000000 1.9459101 0.000000 0.0000000 0.0000000
## ChuvMA3b 0.0000000 1.0986123 0.6931472 0.000000 0.0000000 0.0000000
## ChuvIA1b 0.0000000 0.0000000 0.6931472 0.000000 0.0000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## O.vespetilio O.palometa O.saurus O.oglinum P.brasiliensis
## SecSA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecSA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecSA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecMA1 0.0000000 0.0000000 0.6931472 0.000000 0.0000000
## SecMA2 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## SecMA3 0.0000000 0.0000000 0.6931472 0.000000 0.0000000
## SecIA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecSA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecSA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecSA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecMA1b 0.6931472 0.0000000 0.0000000 0.000000 0.0000000
## SecMA2b 0.0000000 1.0986123 0.0000000 0.000000 0.0000000
## SecMA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## SecIA2b 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## SecIA3b 0.0000000 0.6931472 0.0000000 0.000000 0.0000000
## ChuvSA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvSA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvSA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvSA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvSA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvSA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvMA2b 0.0000000 0.0000000 0.0000000 0.000000 0.6931472
## ChuvMA3b 0.0000000 0.0000000 0.0000000 1.098612 0.0000000
## ChuvIA1b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## P.virginicus P.corvinaeformis P.punctatus P.maculatus R.amazonica
## SecSA1 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecSA2 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecSA3 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecMA1 0.0000000 0.000000 0.0000000 0.00000 4.8441871
## SecMA2 0.0000000 0.000000 0.0000000 0.00000 2.4849066
## SecMA3 0.0000000 0.000000 0.0000000 0.00000 4.3944492
## SecIA1 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecIA2 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecIA3 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecSA1b 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecSA2b 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecSA3b 0.6931472 0.000000 0.0000000 0.00000 0.0000000
## SecMA1b 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecMA2b 0.0000000 0.000000 0.0000000 0.00000 5.3375381
## SecMA3b 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## SecIA1b 0.0000000 0.000000 0.6931472 0.00000 2.5649494
## SecIA2b 0.0000000 0.000000 0.0000000 0.00000 2.7725887
## SecIA3b 0.0000000 0.000000 1.0986123 0.00000 0.6931472
## ChuvSA1 0.0000000 0.000000 0.0000000 0.00000 2.7725887
## ChuvSA2 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## ChuvSA3 0.0000000 0.000000 0.0000000 0.00000 0.6931472
## ChuvMA1 0.0000000 0.000000 0.0000000 0.00000 4.6539604
## ChuvMA2 0.0000000 0.000000 0.0000000 0.00000 5.0434251
## ChuvMA3 0.0000000 0.000000 0.0000000 0.00000 4.9199809
## ChuvIA1 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## ChuvIA2 0.0000000 0.000000 0.0000000 0.00000 4.7095302
## ChuvIA3 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## ChuvSA1b 0.0000000 0.000000 0.0000000 0.00000 2.7080502
## ChuvSA2b 0.0000000 0.000000 0.0000000 0.00000 1.6094379
## ChuvSA3b 0.0000000 0.000000 0.0000000 0.00000 2.0794415
## ChuvMA1b 0.0000000 0.000000 0.0000000 1.94591 2.5649494
## ChuvMA2b 0.0000000 0.000000 0.6931472 0.00000 3.9120230
## ChuvMA3b 0.0000000 0.000000 0.0000000 0.00000 0.0000000
## ChuvIA1b 0.0000000 0.000000 0.0000000 0.00000 3.5835189
## ChuvIA2b 0.0000000 1.098612 1.0986123 0.00000 0.0000000
## ChuvIA3b 0.0000000 0.000000 0.0000000 0.00000 3.3322045
## S.cavalla S.isthmensis S.vomer S.amplum S.radians S.greeleyi
## SecSA1 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA2 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA3 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA1 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.6931472
## SecMA2 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA3 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 2.9957323
## SecIA1 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA2 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.6931472
## SecIA3 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA1b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA2b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA3b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA1b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA2b 0.000000 0.0000000 0.0000000 0.6931472 0.0000000 1.0986123
## SecMA3b 0.000000 0.0000000 0.0000000 0.0000000 0.6931472 2.5649494
## SecIA1b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.6931472
## SecIA2b 0.000000 0.0000000 0.0000000 0.6931472 0.0000000 0.6931472
## SecIA3b 0.000000 0.0000000 0.6931472 0.0000000 0.0000000 0.0000000
## ChuvSA1 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA2 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA3 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA1 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 1.6094379
## ChuvMA2 0.000000 0.0000000 0.0000000 1.0986123 0.0000000 2.1972246
## ChuvMA3 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA1 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA2 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA3 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA1b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA2b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA3b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA1b 0.000000 0.6931472 0.0000000 0.0000000 0.0000000 1.6094379
## ChuvMA2b 1.098612 0.0000000 0.0000000 0.0000000 0.0000000 2.0794415
## ChuvMA3b 0.000000 0.6931472 0.0000000 0.0000000 0.0000000 0.6931472
## ChuvIA1b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA2b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA3b 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S.spengleri S.testudineus S.barracuda S.plagusia S.tessellatus
## SecSA1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA2 0.0000000 0.6931472 0.6931472 0.0000000 0.0000000
## SecSA3 0.0000000 0.6931472 0.0000000 0.0000000 0.6931472
## SecMA1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecSA1b 0.0000000 0.0000000 0.0000000 0.0000000 0.6931472
## SecSA2b 0.0000000 2.3978953 0.0000000 0.0000000 0.0000000
## SecSA3b 0.0000000 1.0986123 0.0000000 0.0000000 1.3862944
## SecMA1b 0.0000000 0.0000000 0.0000000 0.6931472 0.0000000
## SecMA2b 0.6931472 0.0000000 0.0000000 0.0000000 0.0000000
## SecMA3b 2.0794415 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA1b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA2b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## SecIA3b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA1 0.0000000 0.6931472 0.0000000 0.6931472 0.6931472
## ChuvSA2 0.0000000 1.0986123 0.6931472 0.0000000 0.6931472
## ChuvSA3 0.0000000 0.0000000 0.6931472 0.0000000 0.6931472
## ChuvMA1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvSA1b 0.0000000 0.6931472 0.0000000 0.0000000 0.0000000
## ChuvSA2b 0.0000000 2.5649494 0.0000000 0.0000000 0.0000000
## ChuvSA3b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA1b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA2b 0.6931472 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvMA3b 0.0000000 0.0000000 0.0000000 0.6931472 0.0000000
## ChuvIA1b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S.foetens T.nenattereri
## SecSA1 0.0000000 1.3862944
## SecSA2 0.0000000 1.0986123
## SecSA3 0.0000000 0.0000000
## SecMA1 0.0000000 0.0000000
## SecMA2 0.0000000 0.0000000
## SecMA3 0.0000000 0.0000000
## SecIA1 0.0000000 0.0000000
## SecIA2 0.0000000 0.0000000
## SecIA3 0.0000000 0.0000000
## SecSA1b 0.0000000 0.0000000
## SecSA2b 0.0000000 0.0000000
## SecSA3b 0.0000000 0.0000000
## SecMA1b 0.0000000 0.0000000
## SecMA2b 0.6931472 0.0000000
## SecMA3b 0.6931472 0.0000000
## SecIA1b 0.0000000 0.0000000
## SecIA2b 0.0000000 0.0000000
## SecIA3b 0.0000000 0.0000000
## ChuvSA1 0.0000000 0.0000000
## ChuvSA2 0.0000000 0.0000000
## ChuvSA3 0.0000000 0.6931472
## ChuvMA1 0.0000000 0.0000000
## ChuvMA2 0.0000000 0.0000000
## ChuvMA3 0.0000000 0.0000000
## ChuvIA1 0.0000000 0.0000000
## ChuvIA2 0.0000000 0.0000000
## ChuvIA3 0.0000000 0.0000000
## ChuvSA1b 0.0000000 0.0000000
## ChuvSA2b 0.0000000 0.0000000
## ChuvSA3b 0.0000000 0.0000000
## ChuvMA1b 0.0000000 0.6931472
## ChuvMA2b 0.6931472 0.0000000
## ChuvMA3b 0.0000000 0.0000000
## ChuvIA1b 0.0000000 0.0000000
## ChuvIA2b 0.0000000 0.0000000
## ChuvIA3b 0.0000000 0.0000000mdados<-vegdist(dadost, "bray")
mdados## SecSA1 SecSA2 SecSA3 SecMA1 SecMA2 SecMA3
## SecSA2 0.35345152
## SecSA3 0.72731415 0.60165305
## SecMA1 0.82133240 0.85049420 0.84058237
## SecMA2 0.68408471 0.60367536 0.42275028 0.57221789
## SecMA3 0.75427744 0.74778493 0.62398986 0.42747206 0.41995831
## SecIA1 1.00000000 0.87696087 0.84001283 1.00000000 0.83609692 0.82857075
## SecIA2 0.93697993 0.95433389 0.88267122 0.92323467 0.86819709 0.81652220
## SecIA3 1.00000000 0.87494277 0.83658380 1.00000000 0.83351633 0.83853100
## SecSA1b 0.65918822 0.67773433 0.56550822 1.00000000 0.71065999 0.89764328
## SecSA2b 0.85475358 0.73398308 0.59913818 0.88164464 0.59464172 0.80256741
## SecSA3b 0.90313954 0.67932087 0.59451115 1.00000000 0.72307951 0.84151316
## SecMA1b 1.00000000 0.90723149 0.84527742 0.87507860 0.78115949 0.80570630
## SecMA2b 0.87421496 0.81033853 0.64425145 0.53449415 0.40287537 0.42532006
## SecMA3b 0.84829450 0.84555740 0.75671641 0.70019343 0.65182359 0.52896254
## SecIA1b 0.95144600 1.00000000 0.90814640 0.44406021 0.64513386 0.64358076
## SecIA2b 1.00000000 1.00000000 0.82451342 0.49573528 0.57676623 0.65388572
## SecIA3b 0.94580804 1.00000000 0.84718109 0.77036659 0.71712055 0.85299075
## ChuvSA1 0.83106568 0.74407444 0.47647103 0.79501653 0.46644079 0.58617672
## ChuvSA2 0.82859336 0.70155701 0.46098988 1.00000000 0.58321895 0.74234823
## ChuvSA3 0.79201443 0.73974191 0.65742163 0.95067243 0.70007183 0.82786477
## ChuvMA1 0.95537357 0.96483623 0.95760268 0.38127641 0.60540498 0.54724345
## ChuvMA2 1.00000000 0.92199347 0.75581781 0.49895303 0.61332832 0.46491139
## ChuvMA3 0.84811399 0.84498730 0.79205177 0.39566978 0.65812026 0.60789490
## ChuvIA1 1.00000000 1.00000000 0.92880594 1.00000000 0.94939593 0.91569798
## ChuvIA2 1.00000000 1.00000000 0.95336544 0.44893171 0.68389369 0.62116449
## ChuvIA3 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000
## ChuvSA1b 0.83746850 0.72006373 0.59692548 0.80657499 0.61364417 0.70486203
## ChuvSA2b 0.71269046 0.63541210 0.48985040 0.89120173 0.53414890 0.69275820
## ChuvSA3b 0.73175037 0.71308833 0.74452198 0.85525487 0.67170738 0.77678377
## ChuvMA1b 0.96042067 0.93609372 0.83656219 0.61616344 0.61755018 0.60920581
## ChuvMA2b 1.00000000 0.88060103 0.77933290 0.57566741 0.59973331 0.54410265
## ChuvMA3b 0.81018868 0.77676532 0.77714198 0.68869204 0.71068168 0.68308154
## ChuvIA1b 1.00000000 1.00000000 1.00000000 0.41868731 0.72749269 0.69974490
## ChuvIA2b 0.93178923 0.95166877 0.93686309 1.00000000 0.95360434 1.00000000
## ChuvIA3b 1.00000000 1.00000000 1.00000000 0.48575090 0.76675208 0.69854215
## SecIA1 SecIA2 SecIA3 SecSA1b SecSA2b SecSA3b
## SecSA2
## SecSA3
## SecMA1
## SecMA2
## SecMA3
## SecIA1
## SecIA2 0.70132130
## SecIA3 0.06200003 0.68539226
## SecSA1b 1.00000000 1.00000000 1.00000000
## SecSA2b 0.89781115 0.93902043 0.89552749 0.52187836
## SecSA3b 0.86743723 0.94566544 0.86482068 0.56574799 0.40597255
## SecMA1b 1.00000000 1.00000000 1.00000000 0.75840054 0.83904243 0.85691130
## SecMA2b 0.93114611 0.89978560 0.93033295 0.86268153 0.79240161 0.79636517
## SecMA3b 0.93720649 0.82157743 0.93584058 1.00000000 1.00000000 1.00000000
## SecIA1b 0.86125813 0.70883852 0.85701461 1.00000000 0.87764418 1.00000000
## SecIA2b 0.92996364 0.69770345 0.92826019 0.94629588 0.80880914 0.91064913
## SecIA3b 1.00000000 0.80334172 1.00000000 0.92659672 0.89464756 0.90471405
## ChuvSA1 0.78347659 0.88756721 0.80723098 0.66057869 0.48387935 0.45871863
## ChuvSA2 0.69232053 0.89880332 0.72327479 0.56196101 0.49665786 0.44236725
## ChuvSA3 0.78482415 0.86514632 0.77946121 0.49016858 0.56988860 0.66530906
## ChuvMA1 1.00000000 0.85840955 1.00000000 0.88622589 0.80012561 0.91982289
## ChuvMA2 0.80012310 0.78751271 0.79627209 0.91022574 0.77676444 0.82560070
## ChuvMA3 1.00000000 1.00000000 1.00000000 0.93765924 0.89150577 1.00000000
## ChuvIA1 0.57118657 0.78189571 0.52788068 1.00000000 1.00000000 1.00000000
## ChuvIA2 0.81971208 0.78426592 0.81402841 1.00000000 0.87569991 1.00000000
## ChuvIA3 1.00000000 0.63325936 1.00000000 1.00000000 1.00000000 1.00000000
## ChuvSA1b 0.94747316 0.94981605 0.94652077 0.63679194 0.57501608 0.59142153
## ChuvSA2b 0.87604514 0.96014533 0.90269888 0.59740722 0.51323523 0.60604477
## ChuvSA3b 0.88989899 0.93457353 0.88724340 0.47128791 0.60611952 0.61397225
## ChuvMA1b 0.87572941 0.76446641 0.87305518 0.95106713 0.79369725 0.88051583
## ChuvMA2b 0.94535283 0.89576825 0.94432125 0.79749702 0.67252590 0.72773760
## ChuvMA3b 1.00000000 0.88265680 1.00000000 0.72465592 0.60259392 0.70133282
## ChuvIA1b 1.00000000 1.00000000 1.00000000 1.00000000 0.84878923 1.00000000
## ChuvIA2b 1.00000000 1.00000000 1.00000000 0.89827980 0.93417336 1.00000000
## ChuvIA3b 1.00000000 1.00000000 1.00000000 1.00000000 0.89970251 1.00000000
## SecMA1b SecMA2b SecMA3b SecIA1b SecIA2b SecIA3b
## SecSA2
## SecSA3
## SecMA1
## SecMA2
## SecMA3
## SecIA1
## SecIA2
## SecIA3
## SecSA1b
## SecSA2b
## SecSA3b
## SecMA1b
## SecMA2b 0.83420864
## SecMA3b 0.85906338 0.56889503
## SecIA1b 0.86762847 0.69837630 0.83358018
## SecIA2b 0.89311064 0.52038023 0.78808444 0.37393948
## SecIA3b 0.76381301 0.76676566 0.81519839 0.62510963 0.57272786
## ChuvSA1 0.86391509 0.60069481 0.85603771 0.76805669 0.75712857 0.86332996
## ChuvSA2 0.86692229 0.71873031 0.93101676 0.93528430 0.87852071 0.91050836
## ChuvSA3 0.93099571 0.86552540 0.95843714 0.86783467 0.86614928 0.88516209
## ChuvMA1 0.83157604 0.52363265 0.66681255 0.52949626 0.45848442 0.66577542
## ChuvMA2 0.82029663 0.43510523 0.63361532 0.55608078 0.42905545 0.61839931
## ChuvMA3 1.00000000 0.65639627 0.88151330 0.65218958 0.68656098 0.93409079
## ChuvIA1 1.00000000 0.94115781 0.92760976 0.82980499 0.91781116 1.00000000
## ChuvIA2 1.00000000 0.62734376 0.95285515 0.46915303 0.40785222 0.93135231
## ChuvIA3 1.00000000 1.00000000 1.00000000 1.00000000 0.87841263 1.00000000
## ChuvSA1b 0.86803102 0.73114989 0.93140288 0.84990724 0.85797684 0.95557856
## ChuvSA2b 0.89556604 0.68904398 0.88906378 0.83544320 0.79665795 0.85547110
## ChuvSA3b 0.86617865 0.77189001 0.95920597 0.77088932 0.82507141 0.94403809
## ChuvMA1b 0.86049191 0.56141316 0.70838077 0.55747755 0.47366845 0.66347758
## ChuvMA2b 0.84084016 0.53933001 0.75366915 0.61174409 0.55521765 0.77035751
## ChuvMA3b 0.80114152 0.71260404 0.74936461 0.86220635 0.81381740 0.94905493
## ChuvIA1b 1.00000000 0.73957671 1.00000000 0.51683402 0.57087290 0.90797052
## ChuvIA2b 1.00000000 1.00000000 0.93592412 0.90995134 1.00000000 0.82315436
## ChuvIA3b 1.00000000 0.78212585 1.00000000 0.54888484 0.61670118 0.89554611
## ChuvSA1 ChuvSA2 ChuvSA3 ChuvMA1 ChuvMA2 ChuvMA3
## SecSA2
## SecSA3
## SecMA1
## SecMA2
## SecMA3
## SecIA1
## SecIA2
## SecIA3
## SecSA1b
## SecSA2b
## SecSA3b
## SecMA1b
## SecMA2b
## SecMA3b
## SecIA1b
## SecIA2b
## SecIA3b
## ChuvSA1
## ChuvSA2 0.42965444
## ChuvSA3 0.57787955 0.46619173
## ChuvMA1 0.78930190 0.96198265 0.85962399
## ChuvMA2 0.67908263 0.76873588 0.76985554 0.32660720
## ChuvMA3 0.69749277 0.95962199 0.84873963 0.47530704 0.63558350
## ChuvIA1 0.93307483 0.90545155 0.86603183 1.00000000 0.89984221 1.00000000
## ChuvIA2 0.74259822 0.91722095 0.79197109 0.41237968 0.55303422 0.40438250
## ChuvIA3 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000
## ChuvSA1b 0.46005051 0.55725833 0.64725653 0.81460325 0.81047237 0.73958787
## ChuvSA2b 0.44587311 0.43386340 0.53343163 0.83175198 0.75483950 0.75104849
## ChuvSA3b 0.56914112 0.66609731 0.57457383 0.81672073 0.78943761 0.85212056
## ChuvMA1b 0.74993688 0.85179207 0.79363268 0.41902716 0.42417437 0.72607145
## ChuvMA2b 0.58268236 0.73953378 0.75088984 0.45057732 0.48028347 0.54668996
## ChuvMA3b 0.61051006 0.83208550 0.75298424 0.78799460 0.81721195 0.79203202
## ChuvIA1b 0.78085207 1.00000000 0.87119251 0.39430305 0.65396487 0.36072569
## ChuvIA2b 0.96074597 0.94610901 0.92659672 1.00000000 1.00000000 1.00000000
## ChuvIA3b 0.80832840 1.00000000 0.92974848 0.52750732 0.64931970 0.46691157
## ChuvIA1 ChuvIA2 ChuvIA3 ChuvSA1b ChuvSA2b ChuvSA3b
## SecSA2
## SecSA3
## SecMA1
## SecMA2
## SecMA3
## SecIA1
## SecIA2
## SecIA3
## SecSA1b
## SecSA2b
## SecSA3b
## SecMA1b
## SecMA2b
## SecMA3b
## SecIA1b
## SecIA2b
## SecIA3b
## ChuvSA1
## ChuvSA2
## ChuvSA3
## ChuvMA1
## ChuvMA2
## ChuvMA3
## ChuvIA1
## ChuvIA2 0.82354348
## ChuvIA3 1.00000000 0.83910077
## ChuvSA1b 1.00000000 0.79826873 1.00000000
## ChuvSA2b 0.92825355 0.81952451 1.00000000 0.53152835
## ChuvSA3b 0.87097693 0.76704252 1.00000000 0.39688186 0.51773335
## ChuvMA1b 0.92848314 0.67154384 1.00000000 0.83970915 0.83635739 0.83793916
## ChuvMA2b 1.00000000 0.56630386 1.00000000 0.68040281 0.69813180 0.75509099
## ChuvMA3b 1.00000000 0.86008265 1.00000000 0.62305483 0.78807869 0.65680321
## ChuvIA1b 1.00000000 0.29191932 1.00000000 0.76206532 0.87117979 0.81227112
## ChuvIA2b 1.00000000 1.00000000 1.00000000 0.89315766 0.95813034 0.92896121
## ChuvIA3b 1.00000000 0.43857344 1.00000000 0.79788843 0.90520746 0.79575180
## ChuvMA1b ChuvMA2b ChuvMA3b ChuvIA1b ChuvIA2b
## SecSA2
## SecSA3
## SecMA1
## SecMA2
## SecMA3
## SecIA1
## SecIA2
## SecIA3
## SecSA1b
## SecSA2b
## SecSA3b
## SecMA1b
## SecMA2b
## SecMA3b
## SecIA1b
## SecIA2b
## SecIA3b
## ChuvSA1
## ChuvSA2
## ChuvSA3
## ChuvMA1
## ChuvMA2
## ChuvMA3
## ChuvIA1
## ChuvIA2
## ChuvIA3
## ChuvSA1b
## ChuvSA2b
## ChuvSA3b
## ChuvMA1b
## ChuvMA2b 0.55690450
## ChuvMA3b 0.77308634 0.73522729
## ChuvIA1b 0.65934665 0.54852128 0.83089236
## ChuvIA2b 1.00000000 0.94438417 0.93685474 1.00000000
## ChuvIA3b 0.67745177 0.65617339 0.90363622 0.16818674 1.00000000ddados<-hclust(mdados, method="complete")
ddados##
## Call:
## hclust(d = mdados, method = "complete")
##
## Cluster method : complete
## Distance : bray
## Number of objects: 36plot(ddados, hang=-1,ann=FALSE, cex.axis=1.1,col=1)
title(ylab="Dissimilaridade",
main="Dendrograma dados",xlab="Amostras",cex.lab=1.2)
rect.hclust(ddados,6, border=2:7)
gdados<- cutree(ddados,6)
gdados## SecSA1 SecSA2 SecSA3 SecMA1 SecMA2 SecMA3 SecIA1 SecIA2
## 1 1 2 3 1 1 4 5
## SecIA3 SecSA1b SecSA2b SecSA3b SecMA1b SecMA2b SecMA3b SecIA1b
## 4 2 2 2 2 1 1 3
## SecIA2b SecIA3b ChuvSA1 ChuvSA2 ChuvSA3 ChuvMA1 ChuvMA2 ChuvMA3
## 3 2 2 2 2 3 3 3
## ChuvIA1 ChuvIA2 ChuvIA3 ChuvSA1b ChuvSA2b ChuvSA3b ChuvMA1b ChuvMA2b
## 4 3 5 2 2 2 3 3
## ChuvMA3b ChuvIA1b ChuvIA2b ChuvIA3b
## 1 3 6 32) Foram analisados a nematofauna (exeab.xlsx) e os parâmetros do sedimento(exeev.xlsx) 19 pontos do Estuário Exe, na Grã Bretanha. Quais os parâmetros que melhor explicam o gradiente encontrado?
As espécies não são interdependentes do tipo de sedimento, desta forma as espécies de nematoda são mais influenciadas por outros parâmetros. Devido a lacuna de informação a respeito da localiação de cada área amostral em relação ao mapa do estuário, influência das correntes e das marés sobre o ecossistema prejudica na precisão da análise e interpretação. Todavia, houveram grupos que estão presentes em ambos os parâmetros, são eles: A (5 e 10), B (7 e 8) e C (12 e 13). Os parâmetros de sedimentos são, geralmente, mais indicativos para explicação de gradientes de estuário.
dadoex<-read.table("C:/Users/aureo/OneDrive/Área de Trabalho/Rstudio/exeev.txt")
names(dadoex)## [1] "medpartdiam" "depwatertab" "depaguaslayer"
## [4] "shoreheight" "organics" "interstitSalinity"nrow(dadoex);ncol(dadoex)## [1] 19## [1] 6dadoex## medpartdiam depwatertab depaguaslayer shoreheight organics interstitSalinity
## 1 0.060 0.000 2.167 4 6.43 24.833
## 2 0.060 0.000 3.183 3 7.06 22.833
## 3 0.060 0.000 1.817 2 7.99 17.833
## 4 0.060 0.000 2.020 1 7.15 16.200
## 5 1.275 20.000 20.000 5 0.24 10.000
## 6 0.562 3.417 2.950 4 0.37 76.600
## 7 0.060 0.000 2.167 3 1.98 76.000
## 8 0.177 0.000 2.683 2 2.22 81.200
## 9 0.060 0.000 2.660 1 5.88 71.200
## 10 0.451 20.000 20.000 5 0.09 10.000
## 11 0.205 4.417 7.250 4 0.39 88.000
## 12 0.528 20.000 20.000 3 0.09 88.000
## 13 0.598 20.000 20.000 2 0.06 88.000
## 14 0.769 0.000 20.000 1 0.09 88.500
## 15 0.468 14.917 20.000 5 0.06 89.000
## 16 0.837 6.333 20.000 4 0.04 90.875
## 17 0.797 6.750 20.000 3 0.06 91.667
## 18 1.141 3.667 20.000 2 0.07 89.400
## 19 0.223 0.000 20.000 1 0.09 90.833mdadoex<-vegdist(dadoex, "bray")
mdadoex## 1 2 3 4 5 6
## 2 0.063102708
## 3 0.162375353 0.126010086
## 4 0.195556946 0.158009142 0.065490825
## 5 0.649656933 0.644191644 0.672516383 0.678823317
## 6 0.498680108 0.528955537 0.624486603 0.656255193 0.706828978
## 7 0.469083739 0.496577093 0.580362599 0.612174722 0.778603226 0.046240342
## 8 0.502584082 0.521026235 0.594338023 0.625141662 0.791429262 0.071058412
## 9 0.426156057 0.445286310 0.518733032 0.530728341 0.796671886 0.107404312
## 10 0.649213703 0.643683803 0.672293849 0.678666846 0.008692083 0.708477412
## 11 0.556267284 0.580250431 0.670055687 0.698986931 0.675177420 0.088868189
## 12 0.643423138 0.652276548 0.729726379 0.754884592 0.429998990 0.211131712
## 13 0.653638461 0.662625754 0.728482520 0.753768588 0.437333376 0.216780977
## 14 0.619206082 0.629120448 0.702982315 0.716790093 0.618167000 0.180845161
## 15 0.627160272 0.648075564 0.726413020 0.751852446 0.457463971 0.194870804
## 16 0.610214633 0.631957831 0.713410416 0.739824260 0.538521837 0.165945977
## 17 0.622943842 0.632144435 0.713503626 0.739885948 0.545755052 0.176021658
## 18 0.621117528 0.630663850 0.701598871 0.728816885 0.573154005 0.161521621
## 19 0.623753642 0.633590051 0.706724194 0.720442212 0.628687130 0.191551901
## 7 8 9 10 11 12
## 2
## 3
## 4
## 5
## 6
## 7
## 8 0.041245109
## 9 0.068247087 0.087532529
## 10 0.779211232 0.792102683 0.797419705
## 11 0.129274707 0.102014106 0.186110601 0.675074936
## 12 0.242946584 0.216454902 0.293751000 0.427855460 0.126996778
## 13 0.249180558 0.213293261 0.290828439 0.435969044 0.132198195 0.004194055
## 14 0.180465578 0.142665841 0.215208282 0.619758891 0.100321031 0.093980006
## 15 0.235492730 0.208910323 0.286736902 0.454791173 0.110578631 0.031306619
## 16 0.208278939 0.181422765 0.261059221 0.540337563 0.081834528 0.070558882
## 17 0.208812494 0.181967571 0.261549977 0.547158564 0.091252604 0.067808359
## 18 0.194957014 0.157891649 0.238981520 0.578766027 0.082325202 0.078121470
## 19 0.187962304 0.150309840 0.222476755 0.626530381 0.107750176 0.103124333
## 13 14 15 16 17 18
## 2
## 3
## 4
## 5
## 6
## 7
## 8
## 9
## 10
## 11
## 12
## 13
## 14 0.090039292
## 15 0.035420583 0.082350586
## 16 0.074387817 0.050876770 0.047103725
## 17 0.071623994 0.051475930 0.052292437 0.009285518
## 18 0.074051576 0.026293147 0.062399531 0.027164451 0.028102887
## 19 0.099825374 0.012939035 0.087027249 0.042859399 0.043460456 0.030811123ddadoex<-hclust(mdadoex, method="complete")
ddadoex##
## Call:
## hclust(d = mdadoex, method = "complete")
##
## Cluster method : complete
## Distance : bray
## Number of objects: 19Gráfico
plot(ddadoex, hang=-1,ann=FALSE, cex.axis=1.1,col=1)
title(ylab="Dissimilaridade",
main="Dendrograma dadoex",xlab="Amostras",cex.lab=1.2)
rect.hclust(ddadoex,4, border=2:6)
Grupos
gdadoex<- cutree(ddadoex,4)
gdadoex## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
## 1 1 1 1 2 3 3 3 3 2 4 4 4 4 4 4 4 4 4dadoexa<-read.table("C:/Users/aureo/OneDrive/Área de Trabalho/Rstudio/exab.txt")
names(dadoexa)## [1] "S1" "S2" "S3" "S4" "S5" "S6" "S7" "S8" "S9" "S10" "S11" "S12"
## [13] "S13" "S14" "S15" "S16" "S17" "S18" "S19"nrow(dadoexa);ncol(dadoexa)## [1] 140## [1] 19dadoexax<- (t(dadoexa))dadoexat<-log1p(dadoexax)
dadoexat## 1 2 3 4 5 6 7
## S1 4.5108595 5.236442 4.510860 3.178054 4.8202816 3.3672958 1.7917595
## S2 4.0073332 5.068904 4.204693 3.951244 3.1354942 2.3978953 1.7917595
## S3 3.8712010 4.770685 3.367296 4.584967 2.3025851 3.2958369 1.3862944
## S4 3.9702919 3.332205 1.945910 4.290459 0.6931472 1.3862944 0.6931472
## S5 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S6 1.7917595 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.6931472
## S7 2.1972246 2.708050 4.983607 0.000000 0.0000000 1.6094379 4.7957905
## S8 1.3862944 2.944439 3.583519 0.000000 0.0000000 2.8903718 4.5538769
## S9 3.9512437 1.098612 5.332719 0.000000 0.0000000 0.6931472 4.3438054
## S10 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S11 0.0000000 0.000000 0.000000 0.000000 1.0986123 0.0000000 0.0000000
## S12 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S13 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S14 0.6931472 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S15 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S16 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S17 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S18 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## S19 0.6931472 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000
## 8 9 10 11 12 13 14
## S1 0.6931472 1.3862944 0.6931472 1.0986123 1.098612 2.9957323 0.6931472
## S2 2.1972246 0.6931472 0.0000000 0.0000000 1.098612 1.0986123 0.0000000
## S3 2.9444390 0.0000000 1.3862944 0.0000000 2.197225 2.1972246 0.0000000
## S4 1.0986123 0.0000000 0.0000000 0.0000000 0.000000 0.6931472 0.0000000
## S5 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## S6 0.0000000 0.0000000 1.0986123 0.6931472 0.000000 0.0000000 0.0000000
## S7 0.0000000 0.0000000 4.2195077 4.9904326 0.000000 0.0000000 0.0000000
## S8 0.0000000 0.0000000 4.7957905 5.5451774 0.000000 1.0986123 0.0000000
## S9 0.0000000 0.0000000 4.1896547 2.9957323 0.000000 0.0000000 0.0000000
## S10 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## S11 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## S12 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.6931472
## S13 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## S14 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## S15 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## S16 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.6931472
## S17 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## S18 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## S19 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000
## 15 16 17 18 19 20 21
## S1 0.6931472 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S2 0.0000000 0.6931472 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S3 1.0986123 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S4 2.4849066 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S5 0.0000000 0.0000000 1.7917595 1.791759 1.609438 1.0986123 1.386294
## S6 0.0000000 1.3862944 2.0794415 0.000000 0.000000 0.0000000 0.000000
## S7 0.0000000 4.8978398 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S8 0.0000000 3.5263605 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S9 0.0000000 2.1972246 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S10 0.0000000 0.0000000 1.6094379 3.091042 0.000000 0.6931472 0.000000
## S11 0.0000000 0.0000000 2.3025851 1.098612 0.000000 0.0000000 0.000000
## S12 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S13 0.0000000 0.0000000 0.6931472 0.000000 0.000000 0.0000000 0.000000
## S14 0.0000000 0.0000000 0.6931472 0.000000 0.000000 0.0000000 0.000000
## S15 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S16 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S17 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S18 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## S19 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.000000
## 22 23 24 25 26 27 28 29
## S1 0.0000000 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S2 0.0000000 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S3 0.0000000 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S4 0.0000000 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S5 1.3862944 1.0986123 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S6 0.0000000 4.8903491 2.995732 2.708050 3.555348 2.8903718 1.386294 1.098612
## S7 0.0000000 0.0000000 0.000000 2.639057 0.000000 0.6931472 3.526361 0.000000
## S8 0.0000000 0.0000000 0.000000 2.197225 0.000000 0.0000000 1.386294 0.000000
## S9 0.0000000 0.0000000 0.000000 1.386294 0.000000 0.6931472 0.000000 0.000000
## S10 0.6931472 1.0986123 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S11 0.0000000 4.7184989 2.995732 3.295837 4.521789 3.4657359 3.258097 1.609438
## S12 0.0000000 0.0000000 3.044522 0.000000 0.000000 0.0000000 0.000000 0.000000
## S13 0.0000000 0.6931472 2.079442 0.000000 0.000000 0.6931472 0.000000 0.000000
## S14 0.0000000 1.0986123 1.609438 0.000000 0.000000 0.0000000 0.000000 0.000000
## S15 0.0000000 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S16 0.0000000 2.3025851 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S17 0.0000000 0.6931472 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S18 0.0000000 0.0000000 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## S19 0.0000000 0.6931472 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000
## 30 31 32 33 34 35 36
## S1 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S2 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S3 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S4 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S5 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S6 0.6931472 0.6931472 0.0000000 0.000000 0.0000000 0.6931472 0.6931472
## S7 4.9272537 4.5325995 1.0986123 1.945910 0.6931472 0.6931472 0.0000000
## S8 3.6109179 4.1431347 0.0000000 1.791759 1.0986123 3.7612001 1.7917595
## S9 0.0000000 2.4849066 0.0000000 0.000000 1.6094379 1.0986123 0.0000000
## S10 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S11 1.0986123 0.0000000 4.2626799 0.000000 0.0000000 0.6931472 0.0000000
## S12 0.0000000 0.0000000 0.6931472 0.000000 1.9459101 0.0000000 0.0000000
## S13 0.0000000 0.0000000 0.6931472 0.000000 1.0986123 0.0000000 0.0000000
## S14 0.0000000 0.0000000 2.1972246 0.000000 0.6931472 0.0000000 0.0000000
## S15 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S16 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S17 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S18 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S19 0.0000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## 37 38 39 40 41 42 43
## S1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S4 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S6 0.6931472 0.6931472 0.6931472 0.6931472 0.6931472 0.0000000 0.0000000
## S7 1.3862944 1.0986123 0.6931472 0.0000000 0.6931472 1.6094379 0.0000000
## S8 2.1972246 1.7917595 0.0000000 0.0000000 0.0000000 1.3862944 0.0000000
## S9 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S10 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.3862944
## S11 0.0000000 2.0794415 3.4657359 4.2046926 0.0000000 1.0986123 4.9836066
## S12 0.0000000 0.0000000 0.0000000 0.0000000 1.6094379 1.6094379 0.6931472
## S13 0.0000000 0.0000000 1.3862944 0.0000000 1.7917595 1.6094379 0.0000000
## S14 0.0000000 0.0000000 3.1354942 0.0000000 0.0000000 2.3025851 0.0000000
## S15 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S16 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.6931472 0.0000000
## S17 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S18 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S19 0.0000000 0.0000000 1.0986123 0.0000000 0.0000000 0.0000000 0.0000000
## 44 45 46 47 48 49 50 51
## S1 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S2 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S3 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S4 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S5 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S6 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S7 1.098612 1.098612 1.098612 1.945910 2.3978953 0.6931472 0.6931472 2.197225
## S8 0.000000 2.079442 1.386294 0.000000 0.0000000 0.0000000 1.3862944 4.025352
## S9 0.000000 0.000000 1.609438 1.098612 0.6931472 0.0000000 0.0000000 3.951244
## S10 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S11 0.000000 0.000000 1.098612 0.000000 0.0000000 0.0000000 0.0000000 2.944439
## S12 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.6931472 1.098612
## S13 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S14 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S15 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S16 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S17 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S18 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S19 0.000000 0.000000 0.000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## 52 53 54 55 56 57 58 59
## S1 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S2 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S3 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S4 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S5 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S6 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S7 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S8 1.386294 1.098612 1.098612 1.0986123 1.098612 1.386294 0.6931472 0.0000000
## S9 1.791759 1.098612 0.000000 0.0000000 6.073045 0.000000 0.0000000 0.6931472
## S10 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S11 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S12 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S13 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S14 0.000000 0.000000 0.000000 0.6931472 0.000000 0.000000 0.0000000 0.0000000
## S15 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S16 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S17 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S18 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S19 0.000000 0.000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## 60 61 62 63 64 65 66 67
## S1 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S2 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S3 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S4 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S5 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S6 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S7 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S8 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S9 0.6931472 1.386294 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S10 0.0000000 0.000000 0.6931472 1.098612 0.000000 0.6931472 0.6931472 0.000000
## S11 0.0000000 0.000000 0.0000000 0.000000 0.000000 2.9444390 0.0000000 1.791759
## S12 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S13 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S14 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S15 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S16 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S17 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S18 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000 0.000000
## S19 0.0000000 0.000000 0.0000000 0.000000 1.386294 0.0000000 0.0000000 0.000000
## 68 69 70 71 72 73 74 75
## S1 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S2 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S3 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S4 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S5 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S6 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S7 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S8 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S9 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S10 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S11 0.6931472 4.343805 1.3862944 3.218876 1.386294 1.94591 1.3862944 1.3862944
## S12 1.0986123 0.000000 0.0000000 0.000000 0.000000 0.00000 1.3862944 0.0000000
## S13 0.6931472 0.000000 0.0000000 0.000000 0.000000 0.00000 0.6931472 0.0000000
## S14 1.6094379 0.000000 0.6931472 0.000000 0.000000 0.00000 1.0986123 0.6931472
## S15 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S16 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## S17 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.6931472
## S18 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.6931472 0.0000000
## S19 0.0000000 0.000000 0.0000000 0.000000 0.000000 0.00000 0.0000000 0.0000000
## 76 77 78 79 80 81 82
## S1 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S2 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S3 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S4 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S5 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S6 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S7 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S8 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S9 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S10 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S11 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S12 3.367296 3.4657359 3.6888795 1.945910 1.3862944 1.0986123 0.6931472
## S13 1.945910 3.0910425 1.7917595 1.386294 1.3862944 1.3862944 0.6931472
## S14 1.609438 2.5649494 0.6931472 0.000000 2.9444390 0.6931472 0.0000000
## S15 0.000000 0.0000000 1.7917595 0.000000 2.0794415 0.0000000 0.0000000
## S16 0.000000 1.6094379 0.6931472 0.000000 0.0000000 0.0000000 0.0000000
## S17 0.000000 1.7917595 0.0000000 0.000000 0.6931472 0.0000000 0.0000000
## S18 0.000000 0.6931472 0.0000000 0.000000 1.0986123 0.0000000 0.0000000
## S19 0.000000 1.0986123 0.6931472 0.000000 2.5649494 1.0986123 0.0000000
## 83 84 85 86 87 88 89
## S1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S4 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S6 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S7 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S8 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S9 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S10 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S11 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S12 3.4339872 0.6931472 1.9459101 0.6931472 1.0986123 1.0986123 1.098612
## S13 2.3025851 0.6931472 0.6931472 0.6931472 1.0986123 0.6931472 0.000000
## S14 0.0000000 1.3862944 0.0000000 1.0986123 0.6931472 1.3862944 0.000000
## S15 0.6931472 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S16 0.6931472 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S17 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S18 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S19 0.0000000 0.0000000 0.0000000 0.0000000 0.6931472 0.0000000 0.000000
## 90 91 92 93 94 95 96
## S1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S4 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S6 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S7 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S8 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S9 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S10 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S11 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S12 1.6094379 0.6931472 0.6931472 0.6931472 0.6931472 0.0000000 1.609438
## S13 0.6931472 0.6931472 2.3025851 1.0986123 0.6931472 0.0000000 1.098612
## S14 0.6931472 1.3862944 1.0986123 1.6094379 2.4849066 0.6931472 1.945910
## S15 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S16 0.0000000 0.6931472 0.0000000 0.0000000 0.0000000 0.0000000 0.000000
## S17 0.0000000 0.6931472 0.0000000 0.0000000 0.6931472 0.0000000 0.000000
## S18 0.0000000 0.0000000 0.0000000 0.0000000 0.6931472 0.0000000 0.000000
## S19 0.0000000 0.0000000 0.0000000 0.6931472 0.6931472 0.0000000 0.000000
## 97 98 99 100 101 102 103
## S1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S4 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S6 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S7 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S8 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S9 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S10 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S11 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S12 0.0000000 0.6931472 0.6931472 0.6931472 0.6931472 0.0000000 0.6931472
## S13 0.0000000 0.6931472 1.3862944 0.6931472 0.0000000 0.6931472 1.3862944
## S14 0.0000000 1.7917595 4.2341065 2.8332133 1.7917595 0.6931472 0.6931472
## S15 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S16 0.6931472 1.0986123 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S17 0.0000000 1.6094379 0.0000000 0.6931472 0.0000000 0.0000000 0.0000000
## S18 0.0000000 1.0986123 0.0000000 0.6931472 0.0000000 0.0000000 0.0000000
## S19 0.0000000 2.3978953 0.0000000 2.9444390 0.0000000 0.0000000 0.0000000
## 104 105 106 107 108 109 110
## S1 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S2 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S3 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S4 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S5 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S6 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S7 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S8 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S9 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S10 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S11 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S12 0.000000 0.0000000 0.0000000 0.0000000 0.6931472 0.0000000 0.0000000
## S13 0.000000 0.0000000 0.0000000 0.0000000 1.0986123 0.6931472 1.0986123
## S14 1.098612 0.6931472 0.6931472 0.6931472 0.6931472 0.0000000 0.6931472
## S15 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S16 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S17 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S18 0.000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## S19 1.098612 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## 111 112 113 114 115 116 117
## S1 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S2 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S3 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S4 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S5 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S6 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S7 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S8 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S9 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S10 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S11 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S12 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000 0.000000
## S13 0.0000000 0.0000000 0.000000 0.0000000 1.3862944 0.6931472 0.000000
## S14 0.6931472 0.6931472 3.178054 1.6094379 2.1972246 2.0794415 0.000000
## S15 0.0000000 0.0000000 0.000000 0.6931472 0.6931472 0.0000000 0.000000
## S16 0.0000000 0.0000000 0.000000 0.0000000 3.0445224 0.0000000 0.000000
## S17 0.0000000 0.0000000 1.098612 0.0000000 2.8332133 0.0000000 0.000000
## S18 0.0000000 0.0000000 1.945910 0.0000000 1.7917595 0.6931472 0.000000
## S19 0.0000000 0.0000000 1.945910 0.0000000 0.0000000 2.0794415 1.609438
## 118 119 120 121 122 123 124
## S1 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S2 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S3 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S4 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S5 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S6 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S7 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S8 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S9 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S10 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S11 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S12 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S13 0.6931472 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S14 1.0986123 0.6931472 0.6931472 1.098612 1.098612 0.6931472 0.6931472
## S15 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## S16 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.6931472 2.3025851
## S17 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 1.0986123
## S18 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.6931472
## S19 0.0000000 0.0000000 0.0000000 0.000000 0.000000 0.0000000 0.0000000
## 125 126 127 128 129 130 131
## S1 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S2 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S3 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S4 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S5 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S6 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S7 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S8 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S9 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S10 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S11 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S12 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S13 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S14 0.6931472 0.6931472 0.6931472 0.6931472 0.6931472 0.000000 0.6931472
## S15 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S16 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S17 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S18 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.000000 0.0000000
## S19 0.0000000 1.0986123 2.0794415 0.0000000 0.0000000 1.791759 0.0000000
## 132 133 134 135 136 137 138
## S1 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S2 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S3 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S4 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S5 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S6 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S7 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S8 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S9 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S10 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S11 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S12 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S13 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S14 0.000000 0.6931472 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S15 0.000000 0.0000000 0.6931472 0.000000 0.0000000 0.0000000 0.0000000
## S16 0.000000 0.0000000 0.6931472 1.098612 0.0000000 0.0000000 0.0000000
## S17 0.000000 0.0000000 0.0000000 1.098612 0.6931472 0.0000000 0.6931472
## S18 0.000000 0.0000000 0.0000000 0.000000 0.0000000 0.0000000 0.0000000
## S19 2.079442 0.0000000 1.6094379 0.000000 0.0000000 0.6931472 0.0000000
## 139 140
## S1 0.0000000 0.000000
## S2 0.0000000 0.000000
## S3 0.0000000 0.000000
## S4 0.0000000 0.000000
## S5 0.0000000 0.000000
## S6 0.0000000 0.000000
## S7 0.0000000 0.000000
## S8 0.0000000 0.000000
## S9 0.0000000 0.000000
## S10 0.0000000 0.000000
## S11 0.0000000 0.000000
## S12 0.0000000 0.000000
## S13 0.0000000 0.000000
## S14 0.0000000 0.000000
## S15 0.0000000 0.000000
## S16 0.0000000 0.000000
## S17 0.0000000 0.000000
## S18 0.0000000 0.000000
## S19 0.6931472 2.302585mdadoexa<-vegdist(dadoexat, "bray")
mdadoexa## S1 S2 S3 S4 S5 S6 S7
## S2 0.1843390
## S3 0.2148437 0.1703374
## S4 0.3974950 0.3023629 0.2923705
## S5 1.0000000 1.0000000 1.0000000 1.0000000
## S6 0.8898237 0.9004424 0.8928824 0.9081257 0.8676214
## S7 0.7207271 0.7310539 0.7500514 0.7980480 1.0000000 0.6994193
## S8 0.7158018 0.7290138 0.7261980 0.8049867 1.0000000 0.7540778 0.2853461
## S9 0.6852650 0.6949094 0.7208596 0.7663573 1.0000000 0.7843661 0.4330728
## S10 1.0000000 1.0000000 1.0000000 1.0000000 0.4627630 0.8803210 1.0000000
## S11 0.9803019 0.9790971 0.9796892 0.9854634 0.9060757 0.5401299 0.7803183
## S12 0.9841005 1.0000000 1.0000000 1.0000000 1.0000000 0.9120954 0.9073266
## S13 1.0000000 1.0000000 1.0000000 1.0000000 0.9515586 0.8623661 0.9116809
## S14 0.9879380 0.9872233 0.9875743 0.9859618 0.9594287 0.9142557 0.9344262
## S15 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## S16 0.9742176 1.0000000 1.0000000 1.0000000 0.9191135 0.9088212 0.9836631
## S17 1.0000000 1.0000000 1.0000000 1.0000000 0.9450716 0.9714642 1.0000000
## S18 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## S19 0.9809042 0.9790487 0.9799761 0.9754279 0.9698580 0.9400173 0.9732593
## S8 S9 S10 S11 S12 S13 S14
## S2
## S3
## S4
## S5
## S6
## S7
## S8
## S9 0.4249127
## S10 1.0000000 1.0000000
## S11 0.8325299 0.8917642 0.8639482
## S12 0.9302576 0.9466849 0.9777028 0.8616837
## S13 0.9583389 0.9635214 0.9528655 0.8568211 0.3010380
## S14 0.9539075 0.9785613 0.9601447 0.8298617 0.5930938 0.4861468
## S15 1.0000000 1.0000000 1.0000000 1.0000000 0.8643289 0.8300594 0.9019217
## S16 0.9844620 1.0000000 0.9235782 0.9347187 0.8288972 0.7766790 0.8009855
## S17 1.0000000 1.0000000 0.9483211 0.9691431 0.8394636 0.7638906 0.7522697
## S18 1.0000000 1.0000000 1.0000000 0.9836659 0.8491560 0.7675655 0.7712650
## S19 0.9871696 0.9840642 0.9708633 0.9676013 0.8204722 0.7532689 0.6359521
## S15 S16 S17 S18
## S2
## S3
## S4
## S5
## S6
## S7
## S8
## S9
## S10
## S11
## S12
## S13
## S14
## S15
## S16 0.7654852
## S17 0.8723440 0.4310693
## S18 0.7858997 0.6843243 0.4076316
## S19 0.8368031 0.8380995 0.7415071 0.6988125ddadoexa<-hclust(mdadoexa, method="complete")
ddadoexa##
## Call:
## hclust(d = mdadoexa, method = "complete")
##
## Cluster method : complete
## Distance : bray
## Number of objects: 19Gráfico
plot(ddadoexa, hang=-1,ann=FALSE, cex.axis=1.1,col=1)
title(ylab="Dissimilaridade",
main="Dendrograma dadoexa",xlab="Amostras",cex.lab=1.2)
rect.hclust(ddadoexa,3, border=2:6)
Grupos
gdadoexa<- cutree(ddadoexa,3)
gdadoexa## S1 S2 S3 S4 S5 S6 S7 S8 S9 S10 S11 S12 S13 S14 S15 S16 S17 S18 S19
## 1 1 1 1 2 2 1 1 1 2 2 3 3 3 3 3 3 3 3