quilt - A patchwork of efficient and tidy multidimensional data operations

Colby T. Ford, Ph.D.

Installation

You can install the latest stable version from GitHub using the following command:

library(devtools)
install_github("colbyford/quilt")
library(quilt)

To Do List

• n-dimensional Matrix Pattern Search
• Multidimensional Run Length Encoding
  • 2-dimensional RLE rle_2()
  • n-dimensional RLE rle_n(., n)
• Class-specific Transpose transpose()
• Enhanced Dataset Operations
  • not in %notin%
  • shuffle order of a vector shuffle()
  • drillable hierarchical lists group_by() %>% set_hierarchy() %>% as.list()
  • enhance tibbles/dataframes with pre-computed summary values (mean, sum, sd, etc.)
  • easily digestible information about a variable/object about()
  • rename_columns, rename_rows, and reset_rownames functions for pipes
  • reorder_columns and reorder_rows functions for pipes
  • unlist_all function to unlist each column in a data frame.
  • Split dataset into n parts (training, testing, and validation sets, etc.) using split_2 and split_n
• New set operations
  • Create new set type using as.set()
  • Introduce subset/superset logic
• Fancy loops
  • automatically-binding loop bloop(i in 1:100, method = "cbind", parmethod = "doParallel")
  • returns multiple objects from loop returns()
• ID'd Directional Pipe %>%(1,2) for object<1> and function()<2>
• Automatic Parallelism
  • inherently set up local parallel parkour() or parcore() using .onLoad or .onAttach
  • recognize loop operations to parallelize for(){}
• Specialized Imputation Methods for NAs.
  • Statistics-based methods: distribution, mean, mode, etc.
  • Directional-based methods
  • Time series methods
• Replacement of Slow Functions
  • TBD

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details