unitests {ffmanova} | R Documentation |
Univariate F or t testing
Description
The functions perform F
or t
testing for several responses based
on a matrix of hypothesis observations and a matrix of error observations.
Usage
unitests(xyObj)
unitest(modelData, errorData, dfError = dim(errorData)[1])
Arguments
xyObj |
a design-with-responses object created by |
modelData |
matrix of hypothesis observations |
errorData |
matrix of error observations |
dfError |
Degrees of freedom for error needs to be specified if
|
Details
modelData
and errorObs
correspond to hypObs
and
errorObs
calculated by xy_Obj
. These matrices are efficient
representations of sums of squares and cross-products (see
xy_Obj
for details). This means the univariate
F
-statistics can be calculated straightforwardly from these input
matrices. Furthermore, in the single-degree-of-freedom case,
t
-statistics with correct sign can be obtained.
unitests
is a wrapper function that calls unitest
for each
term in the xyObj
(see xy_Obj
for details) and collects
the results.
Value
unitest
returns a list with components
pValues |
|
stat |
The test statistics as
|
unitests
returns a list with components
pRaw |
Matrix of
|
stat |
Matrix of test statistics from |
Note
The function calculates the p
-values by making a call to
pf
.
Author(s)
Øyvind Langsrud and Bjørn-Helge Mevik