| unitest {ffmanova} | R Documentation |
The functions perform F or t testing for several responses based on a matrix of hypothesis observations and a matrix of error observations.
unitest(modelData, errorData, dfError = dim(errorData)[1]) unitests(xyObj)
modelData |
matrix of hypothesis observations |
errorData |
matrix of error observations |
dfError |
Degrees of freedom for error needs to be specified if errorData is incomplete |
xyObj |
a design-with-responses object created by xy_Obj |
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.
unitest returns a list with components
pValues |
p-values |
stat |
The test statistics as t-statistics (when single degree of freedom) or F-statistics |
pRaw |
Matrix of p-values from unitest, one row for
each term. |
stat |
Matrix of test statistics from unitest, one row for
each term. |
The function calculates the p-values by making a call to pf.
Øyvind Langsrud and Bjørn-Helge Mevik