Showing 7 of total 7 results (show query)
rdatatable
data.table:Extension of `data.frame`
Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Maintained by Tyson Barrett. Last updated 5 days ago.
3.7k stars 23.51 score 230k scripts 4.6k dependentstidyverse
lubridate:Make Dealing with Dates a Little Easier
Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun.
Maintained by Vitalie Spinu. Last updated 4 months ago.
757 stars 20.95 score 135k scripts 1.9k dependentstrinker
wakefield:Generate Random Data Sets
Generates random data sets including: data.frames, lists, and vectors.
Maintained by Tyler Rinker. Last updated 5 years ago.
256 stars 7.13 score 209 scriptsenricoschumann
datetimeutils:Utilities for Dates and Times
Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as 'MATLAB' and 'Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date' and 'POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.
Maintained by Enrico Schumann. Last updated 2 days ago.
calendardatedatetimedatetimeutilstimezone
5 stars 5.95 score 3 dependentsdgkf
parttime:Partial Datetime Handling
Datetimes and timestamps are invariably an imprecise notation, with any partial representation implying some amount of uncertainty. To handle this, 'parttime' provides classes for embedding partial missingness as a central part of its datetime classes. This central feature allows for more ergonomic use of datetimes for challenging datetime computation, including calculations of overlapping date ranges, imputations, and more thoughtful handling of ambiguity that arises from uncertain time zones. This package was developed first and foremost with pharmaceutical applications in mind, but aims to be agnostic to application to accommodate general use cases just as conveniently.
Maintained by Doug Kelkhoff. Last updated 1 years ago.
17 stars 3.93 score 3 scriptsoscarperpinan
solaR:Radiation and Photovoltaic Systems
Calculation methods of solar radiation and performance of photovoltaic systems from daily and intradaily irradiation data sources.
Maintained by Oscar Perpiñán Lamigueiro. Last updated 3 years ago.
1 stars 2.74 score 55 scripts