View source: R/bothsidesmodel.hotelling.R
bothsidesmodel.hotelling | R Documentation |
\beta
are zero.Performs tests of the null hypothesis H0 : \beta^*
= 0, where
\beta^*
is a block submatrix of \beta
as in Section 7.2.
bothsidesmodel.hotelling(x, y, z, rows, cols)
x |
An |
y |
The |
z |
A |
rows |
The vector of rows to be tested. |
cols |
The vector of columns to be tested. |
A list with the following components:
A list with the components of the Lawley-Hotelling T^2
test (7.22)
The T^2
statistic (7.19).
The F
version (7.22) of the T^2
statistic.
The degrees of freedom for the F
.
The p
-value of the F
.
A list with the components of the Wilks \Lambda
test (7.37)
The \Lambda
statistic (7.35).
The \chi ^2
version (7.37) of the \Lambda
statistic, using Bartlett's correction.
The degrees of freedom for the \chi ^2
.
The p-value of the \chi ^2
.
bothsidesmodel
, bothsidesmodel.chisquare
,
bothsidesmodel.df
, bothsidesmodel.lrt
,
and bothsidesmodel.mle
.
# Finds the Hotelling values for example 7.3.1
data(mouths)
x <- cbind(1, mouths[, 5])
y <- mouths[, 1:4]
z <- cbind(c(1, 1, 1, 1), c(-3, -1, 1, 3), c(1, -1, -1, 1), c(-1, 3, -3, 1))
bothsidesmodel.hotelling(x, y, z, 1:2, 3:4)
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