# Pairwise Rescaling of Numeric Matrices

## Documentation for package ‘pairscale’ version 1.0

- DESCRIPTION file
- Package README

## Help Pages

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