Random Rotation Methods for High Dimensional Data with Batch Structure


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Documentation for package ‘randRotation’ version 1.4.0

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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