-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathTaylor_diagram_MeHg_new.r
213 lines (194 loc) · 6.67 KB
/
Taylor_diagram_MeHg_new.r
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
##
# output nuove simulazioni (10 genn 2017)
# sa2 is the new sa1!
## meglio con met in UAL1 e UAL2
#
# !!! controllare output wh1b in dissmehg_out.txt
# !!!!
#
setwd("C:/Users/Ginevra/Google Drive/MERCURIO/BlackSea/implementazione/new_sim0/_met")
#
#
#----- model out
mheg_out<-read.table('dissmehg_out.txt', header=T); str(mheg_out)
o1<-mheg_out$O1
s1<-mheg_out$S1
sa1<-mheg_out$SA1
a1<-mheg_out$A1
#wh1<-mheg_out$Wh1
sed1<-mheg_out$Sed1
nomet<-mheg_out$Nomet
wh1<-mheg_out$Wh1
#----- DATI 9 LAYER
medie_mehg_pM<-c (0.116285714,
0.1408125,
0.120611111,
0.108857143,
0.157888889,
0.767916667,
0.551913043,
0.751090909,
0.737428571)
sd(medie_mehg_pM)
mheg_out<-data.frame(mheg_out,medie_mehg_pM, sa2)
# SAVE as SVG and modify with inkscape
library('plotrix')
#svg(filename="meHg_m1_m6-m7.svg", pointsize = 18)
#win.graph()
par(oma=c(1,1,1,1))
taylor.diagram(medie_mehg_pM, nomet,add=FALSE,col="black",bg='gray',pos.cor=T,
xlab="",ylab="",main=" ",show.gamma=TRUE,ngamma=3,
gamma.col="gray50",sd.arcs=0,ref.sd=T, mar=c(1.5,3,3,1.3),
sd.method="sample",pcex=4.2, pch=21,
grad.corr.lines=c(0.2,0.4,0.6,0.8,0.9, .95,0.99),
cex.axis=1,normalize=FALSE)
text(0.035,0.04, labels = "m7", font=4, cex=1)
taylor.diagram(medie_mehg_pM,o1,add=T,col='#80b1d3', pos.cor=T,
xlab="",ylab="",main="T ",show.gamma=TRUE,ngamma=3,
gamma.col="gray50",sd.arcs=0,ref.sd=T,
sd.method="sample",pcex=4.2, pch=22,
grad.corr.lines=c(0.2,0.4,0.6,0.8,0.9, 0.99),cex.axis=1,normalize=FALSE)
text(0.08,0.01, labels = "m1", col="#80b1d3", font=4, cex=1)
taylor.diagram(medie_mehg_pM,s1,add=T,col='#b3de69',pos.cor=T,
xlab="", ylab="",main="T ", show.gamma=TRUE,ngamma=3,
gamma.col="gray50", sd.arcs=0, ref.sd=T,
sd.method="sample", pcex=4.2, pch=23,
grad.corr.lines=c(0.2,0.4,0.6,0.8,0.9, 0.99), cex.axis=1, normalize=FALSE)
text(0.09,0.03, labels = "m2", col='#b3de69', font=4,cex=1)
taylor.diagram(medie_mehg_pM,sa1,add=T,col='#ffed6f',pos.cor=T,
xlab="", ylab="",main="T ", show.gamma=TRUE,ngamma=3,
gamma.col="gray50", sd.arcs=0, ref.sd=T,
sd.method="sample", pcex=3.9, pch=24,
grad.corr.lines=c(0.2,0.4,0.6,0.8,0.9, 0.99), cex.axis=1, normalize=FALSE)
text(0.18,0.06, labels = "m3", col='#ffd757', font=4, cex=1)
taylor.diagram(medie_mehg_pM,a1,add=T,col='#f6b740',pos.cor=T,
xlab="",ylab="",main="T ",show.gamma=TRUE,ngamma=3,
gamma.col="gray50",sd.arcs=0,ref.sd=T,
sd.method="sample",pcex=3.9,pch=25,
grad.corr.lines=c(0.2,0.4,0.6,0.8,0.9, 0.99),cex.axis=1,normalize=FALSE)
text(0.18,0.1, labels = "m4", col='#fdb462', font=4,cex=1)
taylor.diagram(medie_mehg_pM,wh1,add=T,col='#FA5340',pos.cor=T,
xlab="",ylab="",main="T ",show.gamma=TRUE,ngamma=3,
gamma.col="gray50",sd.arcs=0,ref.sd=T,
sd.method="sample",pcex=4.2,pch=21,
grad.corr.lines=c(0.2,0.4,0.6,0.8,0.9, 0.99),cex.axis=1,normalize=FALSE)
text(0.28,0.06, labels = "m5", col='#FA5340', font=4, cex=1)
taylor.diagram(medie_mehg_pM,sed1,add=T,col='#85518c',pos.cor=T,
xlab="",ylab="",main="T ",show.gamma=TRUE,ngamma=3,
gamma.col="gray50",sd.arcs=0,ref.sd=T,
sd.method="sample",pcex=4.2,pch=3,
grad.corr.lines=c(0.2,0.4,0.6,0.8,0.9, 0.99),cex.axis=1,normalize=FALSE)
text(0.035,0.05,labels = "m6", col='#85518c', font=4, cex=1)
#dev.off()
# --------- No met out
x <- medie_mehg_pM
y <- nomet
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#No met out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y); sd(x)
#------O1 out
x <- medie_mehg_pM
y <- o1
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#----O1 out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y); sd(x)
#------S1 out
x <- medie_mehg_pM
y <- s1
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#----S1 out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y); sd(x)
#------SA 1 out
x <- medie_mehg_pM
y <- sa1
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#----SA 1 out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y); sd(x)
#------SA 2 out
x <- medie_mehg_pM
y <- sa2
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#----SA 2 out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y); sd(x)
#------A1 out
x <- medie_mehg_pM
y <- a1
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#----A1 out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y); sd(x)
(sd(y)-sd(x))/sd(x)
#------Wh1 out
x <- medie_mehg_pM
y <- wh1
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#----Wh1 out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y); sd(x)
(sd(y)-sd(x))/sd(x)
#------Sed1 out
x <- medie_mehg_pM
y <- sed1
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#----Sed1 out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y)
(sd(y)-sd(x))/sd(x)
#------Wh1 out
x <- medie_mehg_pM
y <- wh1
E <- mean(x, na.rm = TRUE) - mean(y, na.rm = TRUE)
xprime <- x- mean(x, na.rm = TRUE)
yprime <- y - mean(y, na.rm = TRUE)
sumofsquares <- (xprime - yprime)^2
Eprime <- sqrt(sum(sumofsquares)/length(complete.cases(x)))
#----Wh1 out
E2 <- E^2 + Eprime^2; E2
R <- cor(x, y); R
sd(y); sd(x)
(sd(y)-sd(x))/sd(x)