Aggregations & Statistics

1 Overview

Column and row aggregations (sums, means, variances, SDs, min, max), correlation, normalization, and block-wise apply operations on HDF5Matrix objects.

2 Functions

2.1 scale

scale

2.2 colSums

colSums

2.3 rowSums

rowSums

2.4 colMeans

colMeans

2.5 rowMeans

rowMeans

2.6 var

var

2.7 sd

sd

2.8 colMins

colMins

2.9 rowMins

rowMins

2.10 colMaxs

colMaxs

2.11 rowMaxs

rowMaxs

2.12 colVars

colVars

2.13 rowVars

rowVars

2.14 colSds

colSds

2.15 rowSds

rowSds

2.16 cor

S3 generic for . Dispatches to for objects, and to for all others.

2.17 sweep

S3 generic for . Dispatches to for objects, and to for all others.

2.18 reduce

Generic function for reducing (accumulating) all datasets in the same HDF5 group as into a single dataset using a binary operation.

2.19 apply_function

Generic function that applies one of BigDataStatMeth’s algebraic or statistical functions to a list of datasets in the same HDF5 group as .

Valid values: , , , , , , , , , , .

2.20 split_dataset

Splits an into equal-sized sub-matrices stored as separate datasets in the same HDF5 file.

Output datasets are named , , (0-based index).

Exactly one of or must be provided.

2.21 hdf5_reduce

Applies a binary reduction ( or ) across all datasets stored in a given HDF5 group and writes the result as a new dataset. Delegates to .

2.22 hdf5_apply

Applies one of several supported operations to a list of datasets stored in an HDF5 group. Delegates to .