README.md

In colbyford/quilt: A Patchwork of Efficient and Tidy Multidimensional Data Operations

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)
• [x] Class-specific Transpose transpose()
• [ ] Enhanced Dataset Operations
• [x] 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.)
• [x] easily digestible information about a variable/object about()
• [x] rename_columns, rename_rows, and reset_rownames functions for pipes
• [x] 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")
• [x] returns multiple objects from loop returns()
• [ ] ID'd Directional Pipe %>%(1,2) for object<1> and function()<2>
• [ ] Automatic Parallelism
• [x] 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

colbyford/quilt documentation built on May 27, 2019, 2:08 p.m.