Other packages > Find by keyword >

TractorTsbox  

Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
View on CRAN: Click here


Download and install TractorTsbox package within the R console
Install from CRAN:
install.packages("TractorTsbox")

Install from Github:
library("remotes")
install_github("cran/TractorTsbox")

Install by package version:
library("remotes")
install_version("TractorTsbox", "0.1.1")



Attach the package and use:
library("TractorTsbox")
Maintained by
Tanguy Barthelemy
[Scholar Profile | Author Map]
First Published: 2025-04-03
Latest Update: 2025-04-03
Description:
The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()). Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant ou trop imprécis selon les arrondis. Cest un compromis entre simplicité, précision et utilisation des fonctions du package 'stats' de création et de gestion des séries temporelles (ts(), window()).
How to cite:
Tanguy Barthelemy (2025). TractorTsbox: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates. R package version 0.1.1, https://cran.r-project.org/web/packages/TractorTsbox. Accessed 05 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited TractorTsbox R package
View TractorTsbox citation profile
Other R packages that TractorTsbox depends, imports, suggests or enhances
Complete documentation for TractorTsbox
Functions, R codes and Examples using the TractorTsbox R package
Full TractorTsbox package functions and examples
Downloads during the last 30 days
04/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/03Downloads for TractorTsbox05101520253035404550TrendBars

Today's Hot Picks in Authors and Packages

pdqr  
Work with Custom Distribution Functions
Create, transform, and summarize custom random variables with distribution functions (analogues of ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
BINCOR  
Estimate the Correlation Between Two Irregular Time Series
Estimate the correlation between two irregular time series that are not necessarily sampled on ident ...
Download / Learn more Package Citations See dependency  
cape  
Combined Analysis of Pleiotropy and Epistasis for Diversity Outbred Mice
Combined Analysis of Pleiotropy and Epistasis infers predictive networks between genetic variants a ...
Download / Learn more Package Citations See dependency  
rsvd  
Randomized Singular Value Decomposition
Low-rank matrix decompositions are fundamental tools and widely used for data analysis, dimension r ...
Download / Learn more Package Citations See dependency  
lifecourse  
Quantification of Lifecourse Fluidity
Provides in built datasets and three functions. These functions are mobility_index, nonStanTest and ...
Download / Learn more Package Citations See dependency  

24,187

R Packages

207,311

Dependencies

65,312

Author Associations

24,143

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA