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Package LMWire : Linear models for Wide responses
Suppose le jeu de données suivant:
y <- matrix(runif(100), 10)
x <- data.frame(discrete = factor(rep(letters[1:2], 5)),
numeric = 1:10)
Modeliser la variable discrète fonctionne nickel:
lmwList <- list(design = x,
outcomes = y,
formula = ~ 1 + discrete)
resLMM <- lmwModelMatrix(lmwList)
resEM <- lmwEffectMatrices(resLMM)
resEM$varPercentagesPlot
Par contre lorsque j'ajoute une variable continue, le pourcentage de variabilité expliquée ne s'additione pas jusque 100%
lmwList <- list(design = x,
outcomes = y,
formula = ~ 1 + discrete + numeric)
resLMM <- lmwModelMatrix(lmwList)
resEM <- lmwEffectMatrices(resLMM)
resEM$varPercentagesPlot
La somme est +/- 65%. Je sais qu'ASCA+ est conçu à la base pour des variable catégorielles. Puisque le pourcentage de variance est calculé sur base des résidus, ASCA+ devrait aussi fonctionner avec des variables numériques non?
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