Random Rotation Methods for High Dimensional Data with Batch Structure

Documentation for package ‘randRotation’ version 1.4.0

randRotation-package	randRotation: Random Rotation Methods for High Dimensional Data with Batch Structure
contrastModel	Create transformed model matrix for contrast rotation
df_estimate	Defunct functions in package 'randRotation'
dim-method	Dimensions of an Object
dimnames-method	Dimnames of an Object
initBatchRandrot	Initialisation of a random rotation Object
initBatchRandrot-class	Initialised random rotation batch object
initBatchRandrot-method	Initialisation of a random rotation Object
initRandrot	Initialisation of a random rotation Object
initRandrot-class	Initialised random rotation class
initRandrot-method	Initialisation of a random rotation Object
initRandrotW-class	Initialised random rotation class
pFdr	Calculate resampling based p-values and FDRs
qqunif	Quantile-Quantile plot of data sample against uniform theoretical quantiles
randorth	Random orthogonal matrix
randpermut	Generate random permutation matrix for n samples
randrot	Random rotation of initialised object
randrot-method	Random rotation of initialised object
randRotation	randRotation: Random Rotation Methods for High Dimensional Data with Batch Structure
rotateStat	Generate data rotations and calculate statistics on it
rotateStat-class	Rotated object containing rotated and non-rotated statistics
show-method	Show an Object
weights-method	Extract model weights
X_decomp	Decomposition of the design matrix for random rotation generation