ANOVA for the log-contrast regression versus the uncostrained linear regression | R Documentation |
ANOVA for the log-contrast regression versus the uncostrained linear regression.
lcreg.aov(mod0, mod1)
mod0 |
The log-contrast regression model. The object returned by |
mod1 |
The unconstrained linear regression model. The object returned by |
An F-test is performed to test the zero-to-sum constraints of the regression coefficients.
A vector with two values, the F test statistic and its associated p-value.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
lc.reg, ulc.reg, alfa.pcr, alfa.knn.reg
y <- iris[, 1]
x <- as.matrix(iris[, 2:4])
x <- x / rowSums(x)
mod0 <- lc.reg(y, x)
mod1 <- ulc.reg(y, x)
lcreg.aov(mod0, mod1)
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