M <- matrix(c(1,1,1,1,1,1,0,0,0,0,1,1), nrow=4)
null_basis(M)
MASS::Null(t(M))
M <- c(1,1,1,1)
null_basis(M)
MASS::Null(t(M))
m0 <- lm(breaks ~ wool + tension, data=warpbreaks)
null_basis(m0)
MASS::Null(t(model.matrix(m0)))
## Make balanced dataset
dat.bal <- expand.grid(list(A=factor(1:2), B=factor(1:3), C=factor(1:3)))
dat.bal$y <- rnorm(nrow(dat.bal))
## Make unbalanced dataset: 'B' is nested within 'C' so B=1 is only
## found when C=1 and B=2,3 are found in each C=2,3,4
dat.nst <- dat.bal
dat.nst$C <-factor(c(1,1,2,2,2,2,1,1,3,3,3,3,1,1,4,4,4,4))
xtabs(y ~ C+B+A , data=dat.nst)
mod.bal <- lm(y ~ A + B*C, data=dat.bal)
mod.nst <- lm(y ~ A + B*C, data=dat.nst)
null_basis( mod.bal )
null_basis( mod.nst )
null_basis( model.matrix(mod.bal) )
null_basis( model.matrix(mod.nst) )
MASS::Null( t(model.matrix(mod.bal)) )
MASS::Null( t(model.matrix(mod.nst)) )
Run the code above in your browser using DataLab