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dfStats: Fast and elegant column and row operations for data.frame objects

Source: R/dfStats-package.R
dfStats-package.Rd

This package provides optimized functions for computing descriptive summaries and aggregations on data.frame objects in R. Similar to the existing matrixStats package, but specifically designed for data.frame operations with focus on both elegant and computational efficiency.

Details

dfStats

The apply function has several limitations when working with data.frame objects for row and column operations:

  • Hard to remember the unintuitive syntax with the MARGIN parameter (1 for rows, 2 for columns).

  • Poor computational performance from repeated function calls.

  • Memory inefficiency from creating multiple hard copies.

  • Requires manual handling of mixed column types.

The dfStats package provides a collection of functions for performing efficient row-wise and column-wise computations on data.frame objects with improved performance compared to base R operations. This package address these issues by providing intuitive and consistently named functions using C++ implementations for core operations to minimize hard copies.

References

Inspired by the matrixStats package:

Henrik Bengtsson (2017). matrixStats: Functions that Apply to Rows and Columns of Matrices (and to Vectors). R package version 0.52.2. https://github.com/HenrikBengtsson/matrixStats.

See also

Useful links:

Author

Yinchun Su

Examples

if (!"remotes" %in% as.data.frame(installed.packages())$Package)
  install.packages("remotes")
#> Installing package into ‘/home/runner/work/_temp/Library’
#> (as ‘lib’ is unspecified)

#remotes::install_github("randef1ned/dfStats", upgrade = "always",
#                        build_manual = TRUE, build_vignettes = TRUE)