View source: R/bothsidesmodel.df.R
bothsidesmodel.df | R Documentation |
Determines the denominators needed to calculate an unbiased estimator of
\Sigma_R
.
bothsidesmodel.df(xx, n, pattern)
xx |
Result of |
n |
Number of rows in observation matrix given |
pattern |
An |
A numeric
matrix of size N \times N
containing
the degrees of freedom for the test.
bothsidesmodel
, bothsidesmodel.chisquare
,
bothsidesmodel.hotelling
, bothsidesmodel.lrt
,
and bothsidesmodel.mle
.
# Find the DF for a likelihood ratio test statistic.
x <- cbind(
1, c(-2, -1, 0, 1, 2), c(2, -1, -2, -1, 2),
c(-1, 2, 0, -2, 1), c(1, -4, 6, -4, 1)
)
# or x <- cbind(1, poly(1:5, 4))
data(skulls)
x <- kronecker(x, rep(1, 30))
y <- skulls[, 1:4]
z <- diag(4)
pattern <- rbind(c(1, 1, 1, 1), 1, 0, 0, 0)
xx <- t(x) %*% x
bothsidesmodel.df(xx, nrow(y), pattern)
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