ffmanovatest: 50-50 MANOVA testing

In ffmanova: Fifty-Fifty MANOVA

50-50 MANOVA testing

Description

The function performs 50-50 MANOVA testing based on a matrix of hypothesis observations and a matrix of error observations.

Usage

ffmanovatest(
  modelData,
  errorData,
  stand = 0,
  part = c(0.9, 0.5),
  partBufDim = 0.5,
  minBufDim = 0,
  maxBufDim = 1e+08,
  minErrDf = 3,
  cp = -1
)

Arguments

modelData	matrix of hypothesis observations
errorData	matrix of error observations
stand	Standardisation (0 or 1) of responses
part	The variance explained required when choosing the number of components for testing. The default value is 0.5, but to choose a single component 0.9 is required.
partBufDim	tuning parameter for the number of buffer components
minBufDim	minimum (if possible) number of buffer components
maxBufDim	maximum number of buffer components
minErrDf	minimum number of "free dimensions"
cp	correction parameter when "few" responses

Details

modelData and errorObs correspond to hypObs and errorObs calculated by xy_Obj.

Value

A list with components

exVar1	variance explained by dimY components
exVar2	variance explained by dimY+bufferDim components
dim	dimension of final "MANOVA-space"
dimX	the ordinary degrees of freedom for the test
dimY	number of components for testing
bufferDim	number of buffer components
D	test statistic: Wilks' Lambda
E	test statistic: Roy's Largest Root
A	test statistic: Hotelling-Lawley Trace Statistic
M	test statistic: Pillay-Bartlett Trace Statistic
pD	p-value: Wilks' Lambda
pE	p-value: LOWER BOUND for Roy's Largest Root
pA	p-value: Hotelling-Lawley Trace Statistic
pM	p-value: Pillay-Bartlett Trace Statistic

Author(s)

Øyvind Langsrud and Bjørn-Helge Mevik

See Also

ffmanova

ffmanova documentation built on Oct. 18, 2023, 5:08 p.m.