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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().

copied from cf-staging / r-matrixstats
Type Size Name Uploaded Downloads Labels
conda 809.9 kB | win-64/r-matrixstats-0.55.0-r35hda5aaf8_0.tar.bz2  5 years and 11 months ago 1416 main cf202003
conda 821.3 kB | win-64/r-matrixstats-0.55.0-r36hda5aaf8_0.tar.bz2  5 years and 11 months ago 1438 main cf202003
conda 813.5 kB | osx-64/r-matrixstats-0.55.0-r35h159158b_0.tar.bz2  5 years and 11 months ago 2653 main cf202003
conda 810.5 kB | osx-64/r-matrixstats-0.55.0-r36h159158b_0.tar.bz2  5 years and 11 months ago 1094 main cf202003
conda 903.9 kB | linux-64/r-matrixstats-0.55.0-r35hcdcec82_0.tar.bz2  5 years and 11 months ago 16465 main cf202003
conda 912.4 kB | linux-64/r-matrixstats-0.55.0-r36hcdcec82_0.tar.bz2  5 years and 11 months ago 11813 main cf202003

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