| test.nested.model {EMA} | R Documentation |
The function compute the F-statistic for nested ANOVA model.
test.nested.model(X, X0, Y)
X |
this is the design matrix corresponding to the full model. X must be of full rank. |
X0 |
this is the design matrix corresponding to the sub-model. X0 is such that span(X0) is a vectorial subspace of span(X). X0 must be of full rank. |
Y |
this is a matrix corresponding to the dependent variable (samples in row, variables (e.g. genes) in column. |
The F-statistic is computed and the p-value is returned. The F-statistic has r-r0 and n-r degrees of freedom where r is the rank of matrix X, r0 is the rand of matrix X0 and n is the number of observations.
A list with the following items:
theta |
The estimation of the paratemer of the full model. |
F |
Value of the F-statistic. |
pvalue |
The p-value. |
residuals |
The residuals for the full model. |
sigma2 |
The estimation of the variance for the full model. |
X |
The matrix design X |
...
EMA group
Y <- matrix(rnorm(21), 21, 1) ef <- gl(3,7) X <- lm(Y ~ ef, x = TRUE)$x X0 <- lm(Y ~ 1, x = TRUE)$x res.test <- test.nested.model(X, X0, Y)