Exemples:

  • Modele Logistique, approche lentement la saturation [2.18]
  • Modele Logistique, approche rapidement la saturation [ 2.18_2]

1.                               a=10

2.                               b=-2

3.                               c=0.3

4.                               d=3

5.                               x<-seq(0,10,1)

6.                               y<-a*(1/(1+exp(-b-c*(x))))+d

7.                               df<-data.frame(Effort=x, Ventes=y)

8.                               c=0.6

9.                               y<-a*(1/(1+exp(-b-c*(x))))+d

10.                             df$Ventes2=y

11.                             df

12.                             matplot(x, df[,2:3], pch = 1:2, type = "o", col = 1:2,xlab="Valeurs de x", ylab="Ventes et/ou Profits")

13.                             legend(min(x), max(df[,2:3]),names(df)[2:3], lwd=3, col=1:2, pch=1:2)

  • Modele Logistique, décroissant applicable aux prix [ 2.18_3]

1.                               a=10

2.                               b=-2

3.                               c=-0.3

4.                               d=3

5.                               x<-seq(0,10,1)

6.                               y<-a*(1/(1+exp(-b-c*(x))))+d

7.                               df<-data.frame(Effort=x, Ventes=y)

8.                               df

9.                               matplot(x, y, type="l", xlab="Valeurs de x", ylab="Ventes et/ou Profits")

Michel Calciu calciu@iae.univ-lille1.fr; - Cours IAE de Lille 2004 - -