Mitmene regressioonanalüüs ja mittelineaarne regressioonanalüüs
3+(PD.KU$d_k/
(Mnsld.1$coefficients[1]+Mnsld.1$coefficients[2]*PD.KU$d_k))^3
with(PD.KU, sqrt(sum((h-h.nsld)^2)/(length(h)-2)))
curve(1.3+(x/(Mnsld.1$coefficients[1]+Mnsld.1$coefficients[2]*x))^3, from=0, to=35,
col="red",add=T,lwd=2,lty=2)
rect(19,1,30,6,border=2,lty=2,col=0)
ac1 <- round(Mnsld.1$coefficients,3)
valem1 <- substitute(h==1.3+(frac(d, b0+b1*d))^3, list(b0=ac1[1],b1=ac1[2]))
text(20,4,valem1,pos=4)
s1 = round(with(PD.KU, sqrt(sum((h-h.nsld)^2)/(length(h)-2))),2)
subr1 = substitute(s[e]==s1,list(s1=s1))
text(20,2,subr1,pos=4)
# mittelineaarne
Mnsld.2<-nls(h~1.3+(d_k/(a+b*d_k))^3, PD.KU, start=list(a=1,b=0.4))
summary(Mnsld.2)
curve(1.3+(x/(coefficients(summary(Mnsld.2))[1]+coefficients(summary(Mnsld.2))[2]*x))^3,
from=0, to=35, col=3,add=T,lwd=2)
rect(22,7,33,12,border=3,col=0)
ac2 <- round(coefficients(summary(Mnsld.2))[1:2],3)
valem2 <- substitute(h==1.3+(frac(d, b0+b1*d))^3, list(b0=ac2[1],b1=ac2[2]))
text(23,10,valem2,pos=4)