Showing 4 of total 4 results (show query)
winvector
rquery:Relational Query Generator for Data Manipulation at Scale
A piped query generator based on Edgar F. Codd's relational algebra, and on production experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as 'Spark', databases, and 'data.table'. Package features include: data processing trees or pipelines as observable objects (able to report both columns produced and columns used), optimized 'SQL' generation as an explicit user visible table modeling step, plus explicit query reasoning and checking.
Maintained by John Mount. Last updated 2 years ago.
110 stars 9.53 score 126 scripts 3 dependents
bioc
MetMashR:Metabolite Mashing with R
A package to merge, filter sort, organise and otherwise mash together metabolite annotation tables. Metabolite annotations can be imported from multiple sources (software) and combined using workflow steps based on S4 class templates derived from the `struct` package. Other modular workflow steps such as filtering, merging, splitting, normalisation and rest-api queries are included.
Maintained by Gavin Rhys Lloyd. Last updated 5 months ago.
2 stars 5.75 score 5 scripts
ropensci
excluder:Checks for Exclusion Criteria in Online Data
Data that are collected through online sources such as Mechanical Turk may require excluding rows because of IP address duplication, geolocation, or completion duration. This package facilitates exclusion of these data for Qualtrics datasets.
Maintained by Jeffrey R. Stevens. Last updated 25 days ago.
datacleaningexclusionmturkqualtrics
9 stars 5.51 score 18 scripts
