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################################## | |
## Suggestion of output plot: #### | |
################################## | |
## Supplementary functions: ##### | |
reset <- function(){ | |
par(mfrow=c(1, 1), oma=rep(0, 4), mar=rep(0, 4), new=TRUE) | |
plot(0:1, 0:1, type="n", xlab="", ylab="", axes=FALSE)} | |
poly_fit<-function(x,y,n){ | |
formule<-lm(as.formula(paste('y~',paste('I(x^',1:n,')', sep='',collapse='+')))) | |
res1<-coef(formule) | |
poly.res<-res1[length(res1):1] | |
allres<-list(polyfit=poly.res, model1=formule) | |
return(allres)} | |
################################## | |
##################### | |
## Output plots: #### | |
dev.new() | |
layout(matrix(c(1,2,3,4), 2, 2, byrow = TRUE),heights=c(4, 4)) | |
## b : mfdfa output | |
b <- mfdfa | |
par(mai=rep(0.8, 4)) | |
## 1st plot: Scaling function order Fq (q-order RMS) | |
p1<-c(1,which(q==0),which(q==q[length(q)])) | |
plot(log2(scale),log2(b$Fqi[,1]), pch=16, col=1, axes = F, xlab = "s (days)", | |
ylab=expression('log'[2]*'(F'[q]*')'), cex=1, cex.lab=1.6, cex.axis=1.6, | |
main= "Fluctuation functionFq", | |
ylim=c(min(log2(b$Fqi[,c(p1)])),max(log2(b$Fqi[,c(p1)])))) | |
lines(log2(scale),b$line[,1], type="l", col=1, lwd=2) | |
grid(col="midnightblue") | |
axis(2) | |
lbl<-scale[c(1,floor(length(scale)/8),floor(length(scale)/4), | |
floor(length(scale)/2),length(scale))] | |
att<-log2(lbl) | |
axis(1, at=att, labels=lbl) | |
for (i in 2:3){ | |
k<-p1[i] | |
points(log2(scale), log2(b$Fqi[,k]), col=i,pch=16) | |
lines(log2(scale),b$line[,k], type="l", col=i, lwd=2) | |
} | |
legend("bottomright", c(paste('q','=',q[p1] , sep=' ' )),cex=2,lwd=c(2,2,2), | |
bty="n", col=1:3) | |
## 2nd plot: q-order Hurst exponent | |
plot(q, b$Hq, col=1, axes= F, ylab=expression('h'[q]), pch=16, cex.lab=1.8, | |
cex.axis=1.8, main="Hurst exponent", ylim=c(min(b$Hq),max(b$Hq))) | |
grid(col="midnightblue") | |
axis(1, cex=4) | |
axis(2, cex=4) | |
## 3rd plot: q-order Mass exponent | |
plot(q, b$tau_q, col=1, axes=F, cex.lab=1.8, cex.axis=1.8, | |
main="Mass exponent", | |
pch=16,ylab=expression(tau[q])) | |
grid(col="midnightblue") | |
axis(1, cex=4) | |
axis(2, cex=4) | |
## 4th plot: Multifractal spectrum | |
plot(b$spec$hq, b$spec$Dq, col=1, axes=F, pch=16, #main="Multifractal spectrum", | |
ylab=bquote("f ("~alpha~")"),cex.lab=1.8, cex.axis=1.8, | |
xlab=bquote(~alpha)) | |
grid(col="midnightblue") | |
axis(1, cex=4) | |
axis(2, cex=4) | |
x1=b$spec$hq | |
y1=b$spec$Dq | |
rr<-poly_fit(x1,y1,4) | |
mm1<-rr$model1 | |
mm<-rr$polyfit | |
x2<-seq(0,max(x1)+1,0.01) | |
curv<-mm[1]*x2^4+mm[2]*x2^3+mm[3]*x2^2+mm[4]*x2+mm[5] | |
lines(x2,curv, col="red", lwd=2) | |
reset() | |
legend("top", legend="MFDFA Plots", bty="n", cex=2) |
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