lipid Weight Length Age Height Temp Lati Long HCB aHCH gHCH dde ddt pcb28 pcb52 pcb101
21
0 5 10 15 20 0 500 1000 1500 2000 2500 3000 0 5 10 15 20 0 500 1000 1500 2000 2500 3000 0 5 10 15 20 -2 0 2 4 6 0 5 10 15 20 -2 0 2 4 6
description
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20. lipid Weight Length Age Height Temp Lati Long HCB aHCH gHCH dde ddt pcb28 pcb52 pcb101 pcb118 pcb138 pcb153 - PowerPoint PPT Presentation
Transcript of lipid Weight Length Age Height Temp Lati Long HCB aHCH gHCH dde ddt pcb28 pcb52 pcb101
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lipid WeightLengthAge HeightTemp Lati Long HCB aHCH gHCH dde ddt pcb28 pcb52 pcb101pcb118pcb138pcb153pcb180
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Loadings
0 5 10 15 20 25-10
-5
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0 5 10 15 20 25-4
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Øvre Neådalsvtan Fallbekktjørna Nedre Neadalsvatn Øvre Heimdalsvatnet Stavsvatn Lochnagar Maan Zielony Staw GasienicowyVel’ké Hincovo Gossenkoellesee Rotfelsee Oberder Plenderlesee Schwarzsee Lungo Jörisee Paione inferiore Aubé Redo Okoto Bliznaka Cimera Escura
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Scores
nscores(:,1)=scores(:,1)./norm(scores(:,1),2);nscores(:,2)=scores(:,2)./norm(scores(:,2),2);plot(loads(:,1),loads(:,2),'ob')holdplot(nscores(:,1),nscores(:,2),'+r')vline(0)hline(0)text(nscores(:,1),nscores(:,2),lakenames(:,1:3));text(loads(:,1),loads(:,2),namevarall);grid on
-0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3-0.4
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lipid Weight
Length
Age Height
Temp Lati
Long
HCB
aHCH gHCH
dde ddt
pcb28 pcb52
pcb101
pcb118
pcb138 pcb153 pcb180
Loadings for PC# 1
Load
ings
for
PC
# 2
Loadings for PC# 1 versus PC# 2
-10 -8 -6 -4 -2 0 2 4-3
-2
-1
0
1
2
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4
5
Øvre Neådalsvtan Fallbekktjørna
Nedre Neadalsvatn
Øvre Heimdalsvatnet
Stavsvatn
Lochnagar
Maan
Zielony Staw Gasienicowy
Vel’ké Hincovo
Gossenkoellesee Rotfelsee
Oberder Plenderlesee Schwarzsee
Lungo
Jörisee
Paione inferiore
Aubé
Redo
Okoto
Bliznaka
Cimera
Escura
Scores on PC# 1
Sco
res
on P
C#
2
Scores for PC# 1 versus PC# 2
nscores(:,1)=scores(:,1)./norm(scores(:,1),2);nscores(:,2)=scores(:,2)./norm(scores(:,2),2);plot(loads(:,1),loads(:,2),'ob')holdplot(nscores(:,1),nscores(:,2),'+r')vline(0)hline(0)text(nscores(:,1),nscores(:,2),lakenames(:,1:3));text(loads(:,1),loads(:,2),namevarall);grid on
-0.7 -0.6 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3-0.4
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1
ØvrFal
Ned
Øvr
Sta
Loc
Maa
Zie
Vel
GosRot
ObeSch
Lun
Jör
Pai
Aub
Red
Oko
Bli
Cim
Esc
lipid WeightLength
Age Height
Temp Lati
Long
HCB
aHCH gHCH
dde ddt
pcb28 pcb52
pcb101
pcb118
pcb138pcb153pcb180
scores with norm 2
-0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3-0.4
-0.3
-0.2
-0.1
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lipid Weight
Length
Age Height
Temp Lati
Long
HCB
aHCH gHCH
dde ddt
pcb28 pcb52
pcb101
pcb118
pcb138pcb153pcb180 Øvr Fal
Ned
ØvrSta
LocMaa
ZieVel
GosRotObeSch
Lun
Jör
Pai
AubRed
Oko
Bli
Cim
Esc
scores with norm 1
-0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4
-0.4
-0.3
-0.2
-0.1
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0.2
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lipWei
Len
AgeHei
TemLat
Lon
HCB
aHCgHC
ddeddt
pcbpcb
pcb
pcb
pcbpcbpcb
Component 1
Com
pone
nt 2
biplot(loads(:,1:2), 'scores',scores(:,1:2), 'varlabels',namevarall(:,1:3), 'ObsLabels', lakenames);
-10 -8 -6 -4 -2 0 2 4-2.5
-2
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-1
-0.5
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0.5
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2
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Øvre Neådalsvtan
Fallbekktjørna
Nedre Neadalsvatn
Øvre Heimdalsvatnet Stavsvatn
Lochnagar
Maan
Zielony Staw Gasienicowy
Vel’ké Hincovo
Gossenkoellesee
Rotfelsee
Oberder Plenderlesee
Schwarzsee Lungo
Jörisee
Paione inferiore
Aubé
Redo
Okoto
Bliznaka
Cimera
Escura
Scores on PC# 1
Sco
res
on P
C#
3Scores for PC# 1 versus PC# 3
-10 -8 -6 -4 -2 0 2 4-4
-3
-2
-1
0
1
2
Øvre Neådalsvtan Fallbekktjørna
Nedre Neadalsvatn
Øvre Heimdalsvatnet
Stavsvatn Lochnagar Maan
Zielony Staw Gasienicowy Vel’ké Hincovo
Gossenkoellesee
Rotfelsee
Oberder Plenderlesee
Schwarzsee
Lungo
Jörisee
Paione inferiore
Aubé
Redo
Okoto
Bliznaka
Cimera Escura
Scores on PC# 1
Sco
res
on P
C#
4
Scores for PC# 1 versus PC# 4
-10 -8 -6 -4 -2 0 2 4-3
-2
-1
0
1
2
3
Øvre Neådalsvtan
Fallbekktjørna
Nedre Neadalsvatn
Øvre Heimdalsvatnet Stavsvatn
Lochnagar
Maan Zielony Staw Gasienicowy
Vel’ké Hincovo
Gossenkoellesee Rotfelsee Oberder Plenderlesee
Schwarzsee
Lungo
Jörisee Paione inferiore
Aubé
Redo
Okoto Bliznaka
Cimera
Escura
Scores on PC# 1
Sco
res
on P
C#
5Scores for PC# 1 versus PC# 5
y=meanpcb180xo=meanvar;axo=auto(x);ay=auto(y);[b,ssq,p,q,w,t,u,bin] = pls(axo,ay,5,1);vip_scores = vipr(t(:,1),p(:,1),w(:,1),b(1,:)',1,8,namevarpar);
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-0.15
-0.1
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lipid
Weight
Length
Age
Height
Temp
Lati
Long
b with 1 PLS componentsy=meanpcb180
1 2 3 4 5 6 7 8-0.5
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0.3
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0.5lipid
Weight
Length
Age
Height
Temp
Lati
Long
weights with 1 PLS components
1 2 3 4 5 6 7 80
0.2
0.4
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0.8
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lipid
Weight
Length
Age
HeightTemp
Lati
Long
VIP with 1 PLS components
1 2 3 4 5 6 7 80
0.5
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3
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lipid
Weight
Length
Age
Height
Temp
Lati
Long
VIP with 2 PLS components
[press,cumpress]=crossval(axo,ay,'sim','loo',5); Percent Variance Captured by PLS Model -----X-Block----- -----Y-Block----- LV # This LV Total This LV Total ---- ------- ------- ------- ------- 1 35.98 35.98 61.20 61.20 2 8.84 44.82 15.90 77.10 3 14.86 59.67 1.78 78.88 4 11.85 71.52 0.60 79.48 5 9.77 81.29 0.13 79.61
1 1.5 2 2.5 3 3.5 4 4.5 50.4
0.45
0.5
0.55
0.6
0.65
0.7
0.75
0.8
Latent Variable
RM
SE
CV
(o)
, RM
SE
C (s
)
CV for PLS via SIMPLS, leave-one-out.
