rotationtest {ffmanova} | R Documentation |
The functions perform rotation testing based on a matrix of hypothesis observations and a matrix of error observations. Adjusted p-values according to familywise error rates and false discovery rates are calculated.
rotationtest(modelData, errorData, simN = 999, dfE = -1, dispsim = TRUE) rotationtests(xyObj, nSim, verbose = TRUE)
modelData |
matrix of hypothesis observations |
errorData |
matrix of error observations |
simN |
Number of simulations for each test. Can be a single value or a list of values for each term. |
dfE |
Degrees of freedom for error needs to be specified if errorData is incomplete |
dispsim |
When TRUE , dots are displayed to illustrate simulation progress. |
xyObj |
a design-with-responses object created by xy_Obj |
nSim |
vector of nonnegative integers. The number of simulations to use for each term. |
verbose |
logical. Whether rotationtests (and
rotationtest ) should be verbose. |
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 that rotationtest
can be viewed as a generalised F-test function.
rotationtests
is a wrapper function that calls
rotationtest
for each term in the xyObj
and collects the results.
Both functions return a list with components
pAdjusted |
adjusted p-values according to familywise error rates |
pAdjFDR |
adjusted p-values according to false discovery rates |
simN |
number of simulations performed for each term |
Øyvind Langsrud and Bjørn-Helge Mevik
Langsrud, Ø. (2005) Rotation Tests. Statistics and Computing, 15, 53–60.
Moen, B., Oust, A., Langsrud, Ø., Dorrell, N., Gemma, L., Marsden, G.L., Hinds, J., Kohler, A., Wren, B.W. and Rudi, K. (2005) An explorative multifactor approach for investigating global survival mechanisms of Campylobacter jejuni under environmental conditions. Applied and Environmental Microbiology, 71, 2086-2094.