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| #Plot et regression Loess
plot(nb_taxon~score, data=enjeux, type="l")
loessMod25 <- loess(nb_taxon~score, data=enjeux, span=0.25)
smoothed25 <- predict(loessMod25)
lines(smoothed25, x=enjeux$score, col="black")
#Coloration des classes sur la courbe de distribution
i <- score >= 6 & score <= 10
polygon(c(6,score[i],10), c(0,nb_taxon[i],0), col="lightblue")
c <- score >= 10 & score <= 15
polygon(c(10,score[a],15), c(0,nb_taxon[a],0), col="red")
b <- score >= 15 & score <= 20
polygon(c(15,score[b],20), c(0,nb_taxon[b],0), col="yellow") |
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