Pairwise Rescaling of Numeric Matrices

Documentation for package ‘pairscale’ version 1.0

pairdiff_madmean	Distance matrix between columns of a matrix using their MAD-trimmed mean differences
pairdiff_mean	Distance matrix between columns of a matrix using their mean differences
pairdiff_median	Distance matrix between columns of a matrix using their trimmed median differences
pairdiff_mode	Distance matrix between columns of a matrix using their mode differences
pairdiff_trimmedmean	Distance matrix between columns of a matrix using their trimmed mean differences
pairscale_madmean	Normalize matrix columns using their MAD-trimmed mean differences
pairscale_mean	Normalize matrix columns using their mean differences
pairscale_median	Normalize matrix columns using their median differences
pairscale_mode	Normalize matrix columns using their mode differences
pairscale_trimmedmean	Normalize matrix columns using their trimmed-mean differences
solve_graph_laplacian	graph Laplacian approach to finding normalization factors
vector_madmean	Compute MAD-trimmed mean value of a vector, with optional filtering for N datapoints
vector_mean	Compute mean value of a vector, with optional filtering for N datapoints
vector_median	Compute median value of a vector, with optional filtering for N datapoints
vector_mode	Compute mode of a vector, with optional filtering for N datapoints
vector_trimmedmean	Compute trimmed mean value of a vector, with optional filtering for N datapoints