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2010 Jan 13
1
Problem fitting a non-linear regression model with nls
...as 0.000488281 est devenu inf?rieur ? 'minFactor' de 0.000976562\n" - "Error in nls(formule, data = cbind.data.frame(x, y), start = list(miny = min(y), : \n gradient singulier\n" - "Error in numericDeriv(form[[3]], names(ind), env) : \n Valeur manquante ou infinie obtenue au cours du calcul du mod?le\n") - "Error in nlsModel(formula, mf, start, wts) : \n singular gradient matrix at initial parameter estimates\n" So it seems that I reach a local extremum each time. I know that most of the problem comes from the choice of the initial values of the...
2011 Aug 16
0
exponential with decreasing
...t;-Regress$MSI7 plot(y ~ x) fm <- nls(y ~ f(x,a,b), data =Regress, start = c(a=1, b=1)) co <- coef(fm) curve(f(x, a=co[1], b=co[2]), add = TRUE) But in the line 7, it blocks with the following message: Erreur dans numericDeriv(form[[3L]], names(ind), env) : Valeur manquante ou infinie obtenue au cours du calcul du mod?le De plus : Messages d'avis : 1: In min(x) : aucun argument trouv? pour min ; Inf est renvoy? 2: In max(x) : aucun argument pour max ; -Inf est renvoy? - Please where is the problem? - What I can do to obtain R^2? - Is the method to verify homoscedasticity and norma...
2020 Oct 09
1
Aide pour finaliser ce code
...} } } } # D?terminations des valeurs propres de sigma epsilon pa=SqrtMatrice0(GSigma) mq= pa %*% GGamma %*% pa u=Re(eigen(mq)$values) # d?termination de d?gr? de libert? et valeur c not? va dl=(sum(u)^2)/(sum(u^2)) va=(sum(u^2))/(sum(u)) pc=1-pchisq(tr1/va, df= dl) # Test de la valeur obtenue if (pc>m1) d1=0 else d1=1 if (pc>m2) d2=0 else d2=1 if (pc>m3) d3=0 else d3=1 l1=l1+d1 l2=l2+d2 l3=l3+d3 } K=K+1 MV[K,1]=n MV[K,2]=l1/nbrefoissim MV[K,3]=l2/nbrefoissim MV[K,4]=l3/nbrefoissim } [[alternative HTML version deleted]]