essence50.ls_lm(fuel ~ ., data=essence50)
plot(1:50,lm.influence(essence50.ls)$h,main="h_ii pour les donnees d'essence")
abline(h=5/50)
outhess_identify(1:50,lm.influence(essence50.ls)$h)
plot(essence50.ls,ask=T) # Distance de Cook
plot(fitted.values(essence50.ls),
residuals(essence50.ls)/(lm.influence(essence50.ls)$sigma *
(1-lm.influence(essence50.ls)$h)^0.5),
xlab="Valeurs predites",ylab="Residus studentizes",
main="Graphique de residus LS",sub="Donnees d'essence")
abline(h=qt(.025,50-5-1),lty=2)
abline(h=qt(1-.025,50-5-1),lty=2)
abline(h=qt(.025/50,50-5-1))
abline(h=qt(1-.025/50,50-5-1))
points(fitted.values(essence50.ls)[outhess],
residuals(essence50.ls)[outhess]/(lm.influence(essence50.ls)$sigma[outhess] *
(1-lm.influence(essence50.ls)$h[outhess])^0.5),pch=18,cex=2)
outyess_identify(fitted.values(essence50.ls),
residuals(essence50.ls)/(lm.influence(essence50.ls)$sigma *
(1-lm.influence(essence50.ls)$h)^0.5))
essence50.lms_lmsreg(as.matrix(essence50[,-5]),essence50[,5])
plot(cbind(1,as.matrix(essence50[,-5])) %*% essence50.lms$coef,
essence50.lms$resid,
xlab="Valeurs predites",ylab="Residus",main="Graphique de residus LMS",
sub="Donnees d'essence")
abline(h=0)
abline(h=-2.5*essence50.lms$scale)
abline(h=2.5*essence50.lms$scale)
points(cbind(1,as.matrix(essence50[outhess,-5])) %*% essence50.lms$coef,
essence50.lms$resid[outhess],pch=18,cex=2)
points(cbind(1,as.matrix(essence50[outyess,-5])) %*% essence50.lms$coef,
essence50.lms$resid[outyess],pch=0,cex=2)
outlmsess_identify(cbind(1,as.matrix(essence50[,-5])) %*% essence50.lms$coef,
essence50.lms$resid)
dimnames(essence50)[[1]][outlmsess]
foret.ls_lm(LPIN ~ ., data=sally)
plot(1:94,lm.influence(foret.ls)$h,main="h_ii pour les donnees de foresterie")
abline(h=20/94)
outh1_identify(1:94,hat(sally[,-1]))
outh2_identify(1:94,hat(sally[,-1]))
plot(foret.ls,ask=T)
plot(fitted.values(foret.ls),
residuals(foret.ls)/(lm.influence(foret.ls)$sigma *
(1-lm.influence(foret.ls)$h)^0.5),
xlab="Valeurs predites",ylab="Residus studentizes",
main="Graphique de residus LS",sub="Donnees de foresterie")
abline(h=qt(.025,94-20-1),lty=2)
abline(h=qt(1-.025,94-20-1),lty=2)
abline(h=qt(.025/94,94-20-1))
abline(h=qt(1-.025/94,94-20-1)) # 35, 15 et 79 sont des valeurs aberrantes
# au niveau 5%, mais pas avec un ajustement
# de Bonferroni
outy_identify(fitted.values(foret.ls),
residuals(foret.ls)/(lm.influence(foret.ls)$sigma *
(1-lm.influence(foret.ls)$h)^0.5))
points(fitted.values(foret.ls)[outh1],
residuals(foret.ls)[outh1]/(lm.influence(foret.ls)$sigma[outh1] *
(1-lm.influence(foret.ls)$h[outh1])^0.5),pch=18,cex=2)
points(fitted.values(foret.ls)[outh2],
residuals(foret.ls)[outh2]/(lm.influence(foret.ls)$sigma[outh2] *
(1-lm.influence(foret.ls)$h[outh2])^0.5),pch=5,cex=2)
points(fitted.values(foret.ls)[outy],
residuals(foret.ls)[outy]/(lm.influence(foret.ls)$sigma[outy] *
(1-lm.influence(foret.ls)$h[outy])^0.5),pch=0,cex=2)
foret.l1_l1fit(sally[,-1],sally[,1])
plot(cbind(1,as.matrix(sally[,-1])) %*% foret.l1$coef, foret.l1$residuals,
xlab="Valeurs predites",ylab="Residus",main="Graphique de residus L1",
sub="Donnees de foresterie")
abline(h=0)
points(cbind(1,as.matrix(sally[outh1,-1])) %*% foret.l1$coef,
foret.l1$residuals[outh1],pch=18,cex=2)
points(cbind(1,as.matrix(sally[outh2,-1])) %*% foret.l1$coef,
foret.l1$residuals[outh2],pch=5,cex=2)
points(cbind(1,as.matrix(sally[outy,-1])) %*% foret.l1$coef,
foret.l1$residuals[outy],pch=0,cex=2)
foret.rreg_rreg(as.matrix(sally[,-1]),sally[,1])
plot(cbind(1,as.matrix(sally[,-1])) %*% foret.rreg$coef, foret.rreg$residuals,
xlab="Valeurs predites",ylab="Residus",main="Graphique de residus rreg",
sub="Donnees de foresterie")
abline(h=0)
points(cbind(1,as.matrix(sally[outh1,-1])) %*% foret.rreg$coef,
foret.rreg$residuals[outh1],pch=18,cex=2)
points(cbind(1,as.matrix(sally[outh2,-1])) %*% foret.rreg$coef,
foret.rreg$residuals[outh2],pch=5,cex=2)
points(cbind(1,as.matrix(sally[outy,-1])) %*% foret.rreg$coef,
foret.rreg$residuals[outy],pch=0,cex=2)
foret.lms_lmsreg(as.matrix(sally[,-1]),sally[,1])
plot(cbind(1,as.matrix(sally[,-1])) %*% foret.lms$coef, foret.lms$resid,
xlab="Valeurs predites",ylab="Residus",main="Graphique de residus LMS",
sub="Donnees de foresterie")
abline(h=0)
abline(h=-2.5*foret.lms$scale)
abline(h=2.5*foret.lms$scale)
points(cbind(1,as.matrix(sally[outh1,-1])) %*% foret.lms$coef,
foret.lms$resid[outh1],pch=18,cex=2)
points(cbind(1,as.matrix(sally[outh2,-1])) %*% foret.lms$coef,
foret.lms$resid[outh2],pch=5,cex=2)
points(cbind(1,as.matrix(sally[outy,-1])) %*% foret.lms$coef,
foret.lms$resid[outy],pch=0,cex=2)
outlms_identify(cbind(1,as.matrix(sally[,-1])) %*% foret.lms$coef,
foret.lms$resid)
foret.lts_ltsreg(as.matrix(sally[,-1]),sally[,1])
plot(cbind(1,as.matrix(sally[,-1])) %*% foret.lts$coef, foret.lts$residuals,
xlab="Valeurs predites",ylab="Residus",main="Graphique de residus LTS",
sub="Donnees de foresterie")
abline(h=0)
points(cbind(1,as.matrix(sally[outh1,-1])) %*% foret.lts$coef,
foret.lts$residuals[outh1],pch=18,cex=2)
points(cbind(1,as.matrix(sally[outh2,-1])) %*% foret.lts$coef,
foret.lts$residuals[outh2],pch=5,cex=2)
points(cbind(1,as.matrix(sally[outy,-1])) %*% foret.lts$coef,
foret.lts$residuals[outy],pch=0,cex=2)
points(cbind(1,as.matrix(sally[outlms,-1])) %*% foret.lts$coef,
foret.lts$residuals[outlms],pch=8,cex=2)
outlts_identify(cbind(1,as.matrix(sally[,-1])) %*% foret.lts$coef,
foret.lts$residuals)
plot(cbind(1,as.matrix(sally[,-1])) %*% foret.lms$coef, foret.lms$resid,
xlab="Valeurs predites",ylab="Residus",main="Graphique de residus LMS",
sub="Donnees de foresterie")
abline(h=0)
abline(h=-2.5*foret.lms$scale)
abline(h=2.5*foret.lms$scale)
points(cbind(1,as.matrix(sally[outlts,-1])) %*% foret.lms$coef,
foret.lms$resid[outlts],pch=17,cex=2)
plot(foret.ls,ask=T)
points(fitted.values(foret.ls)[outlms],residuals(foret.ls)[outlms],pch=8,cex=2)
points(fitted.values(foret.ls)[outlts],residuals(foret.ls)[outlts],pch=17,cex=2)
identify(fitted.values(foret.ls),residuals(foret.ls))