High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().

Home https://github.com/HenrikBengtsson/matrixStats
Versions 0.50.1, 0.51.0
License Artistic-2.0
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/r-matrixstats


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install r-matrixstats

and update with:

conda update r-matrixstats


A Docker container is available at https://quay.io/repository/biocontainers/r-matrixstats.