tsbox

tsbox: Class-Agnostic Time Series in R

https://github.com/ropensci/tsbox

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

○
CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
○
DOI references
○
Academic publication links
○
Committers with academic emails
○
Institutional organization owner
○
JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (17.2%) to scientific vocabulary

Keywords

graphics r time-series

Last synced: 6 months ago · JSON representation

Repository

tsbox: Class-Agnostic Time Series in R

Basic Info

Host: GitHub
Owner: ropensci
Language: R
Default Branch: main
Homepage: https://docs.ropensci.org/tsbox
Size: 22.3 MB

Statistics

Stars: 150
Watchers: 6
Forks: 12
Open Issues: 13
Releases: 5

Topics

graphics r time-series

Created almost 9 years ago · Last pushed 8 months ago

Metadata Files

Readme Changelog Contributing Codemeta

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# tsbox: Class-Agnostic Time Series in R


[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
[![Codecov test coverage](https://codecov.io/gh/ropensci/tsbox/branch/main/graph/badge.svg)](https://app.codecov.io/gh/ropensci/tsbox?branch=main)
[![Status at rOpenSci Software Peer
Review](https://badges.ropensci.org/464_status.svg)](https://github.com/ropensci/software-review/issues/464)
[![R-CMD-check](https://github.com/ropensci/tsbox/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ropensci/tsbox/actions/workflows/R-CMD-check.yaml)


The R ecosystem knows a [vast
number](https://CRAN.R-project.org/view=TimeSeries)  of time series
standards. Instead of creating the ultimate [15th](https://xkcd.com/927/) time
series class, tsbox provides a set of tools that are **agnostic towards the
existing standards**. The tools also allow you to handle time series as plain
data frames, thus making it easy to deal with time series in a
[dplyr](https://CRAN.R-project.org/package=dplyr) or
[data.table](https://CRAN.R-project.org/package=data.table) workflow.

See [tsbox.help](https://docs.ropensci.org/tsbox/) for the full documentation of
the package.

To install the stable version from CRAN:
```r
install.packages("tsbox")
```

To install the development version:
```r
# install.packages("remotes")
remotes::install_github("ropensci/tsbox")
install.packages("ropensci/tsbox", repos = "https://ropensci.r-universe.dev")
```

### Convert everything to everything

tsbox is built around a set of converters, which convert time series stored as
**ts**, **xts**, **data.frame**, **data.table**, **tibble**, **zoo**,
**zooreg**, **tsibble**,  **tibbletime**, **timeSeries**, **irts** or **tis** to
each other:

```r
library(tsbox)
x.ts <- ts_c(fdeaths, mdeaths)
x.xts <- ts_xts(x.ts)
x.df <- ts_df(x.xts)
x.dt <- ts_dt(x.df)
x.tbl <- ts_tbl(x.dt)
x.zoo <- ts_zoo(x.tbl)
x.zooreg <- ts_zoo(x.zoo)
x.tsibble <- ts_tsibble(x.zooreg)
x.tibbletime <- ts_tibbletime(x.tsibble)
x.timeSeries <- ts_timeSeries(x.tibbletime)
x.irts <- ts_irts(x.tibbletime)
x.tis <- ts_tis(x.irts)
all.equal(ts_ts(x.tis), x.ts)
#> [1] TRUE
```

### Use same functions for time series classes

Because this works reliably, it is easy to write
functions that work for all classes. So whether we want to **smooth**,
**scale**, **differentiate**, **chain**, **forecast**, **regularize** or
**seasonally adjust** a time series, we can use the same commands to whatever
time series class at hand:

```r
ts_trend(x.ts)
ts_pc(x.xts)
ts_pcy(x.df)
ts_lag(x.dt)
```

### Time series of the world, unite!

A set of helper functions makes it easy to combine or align multiple time
series of all classes:

```r
# collect time series as multiple time series
ts_c(ts_dt(EuStockMarkets), AirPassengers)
ts_c(EuStockMarkets, mdeaths)

# combine time series to a new, single time series
ts_bind(ts_dt(mdeaths), AirPassengers)
ts_bind(ts_xts(AirPassengers), ts_tbl(mdeaths))
```

### And plot just about everything

Plotting all kinds of classes and frequencies is as simple as it should be. And
we finally get a legend!

```
ts_plot(ts_scale(ts_c(mdeaths, austres, AirPassengers, DAX = EuStockMarkets[ ,'DAX'])))
```

![](https://raw.githubusercontent.com/ropensci/tsbox/master/vignettes/fig/myfig.png)


### Cheatsheet

Owner

Name: rOpenSci
Login: ropensci
Kind: organization
Email: info@ropensci.org
Location: Berkeley, CA

Website: https://ropensci.org/
Twitter: rOpenSci
Repositories: 307
Profile: https://github.com/ropensci

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GitHub Events

Total

Issues event: 5
Watch event: 4
Delete event: 2
Issue comment event: 13
Push event: 4
Pull request event: 4
Fork event: 1
Create event: 3

Last Year

Issues event: 5
Watch event: 4
Delete event: 2
Issue comment event: 13
Push event: 4
Pull request event: 4
Fork event: 1
Create event: 3

Committers

Last synced: over 2 years ago

All Time

Total Commits: 726
Total Committers: 8
Avg Commits per committer: 90.75
Development Distribution Score (DDS): 0.058

Past Year

Commits: 32
Committers: 3
Avg Commits per committer: 10.667
Development Distribution Score (DDS): 0.375

Top Committers

Name	Email	Commits
Christoph Sax	c**x@g**m	684
Christoph Sax	c**h@c**m	33
Thu-G-Hoang	g**g@g**m	2
Matthias Bannert	b**y@h**m	2
Maëlle Salmon	m**n@y**e	2
mbannert	m**t@g**m	1
Kirill Müller	k****r	1
KarolisKoncevicius	k**s@g**m	1

Committer Domains (Top 20 + Academic)

hey.com: 1 cynkra.com: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 75
Total pull requests: 43
Average time to close issues: 5 months
Average time to close pull requests: 5 days
Total issue authors: 25
Total pull request authors: 6
Average comments per issue: 1.84
Average comments per pull request: 0.44
Merged pull requests: 41
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 8
Pull requests: 5
Average time to close issues: N/A
Average time to close pull requests: 15 minutes
Issue authors: 7
Pull request authors: 2
Average comments per issue: 0.13
Average comments per pull request: 0.2
Merged pull requests: 4
Bot issues: 0
Bot pull requests: 0

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Top Authors

Issue Authors

christophsax (32)
DonPipo85 (6)
pollytatouin (4)
mivazq (3)
mbannert (3)
vincentpochon (3)
balthasars (2)
osnofas (2)
andrbachm (2)
fuleky (2)
krlmlr (2)
Layalchristine24 (1)
petersteiner (1)
srlanalytics (1)
felicitaskemeny (1)

Pull Request Authors

christophsax (36)
maelle (3)
stefanfritsch (1)
mbannert (1)
Layalchristine24 (1)
karoliskoncevicius (1)

Top Labels

Issue Labels

bug (10) enhancement (6) feature (2) wontfix (1)

Pull Request Labels

Packages

Total packages: 1
Total downloads:
- cran 1,920 last-month
Total docker downloads: 43,441

Total dependent packages: 4
Total dependent repositories: 12
Total versions: 10
Total maintainers: 1

cran.r-project.org: tsbox

Class-Agnostic Time Series

Homepage: https://docs.ropensci.org/tsbox/
Documentation: http://cran.r-project.org/web/packages/tsbox/tsbox.pdf
License: GPL-3
Latest release: 0.4.2
published over 1 year ago

Versions: 10
Dependent Packages: 4
Dependent Repositories: 12
Downloads: 1,920 Last month
Docker Downloads: 43,441

Rankings

Stargazers count: 2.9%

Downloads: 5.8%

Forks count: 5.8%

Docker downloads count: 6.2%

Average: 6.4%

Dependent repos count: 8.4%

Dependent packages count: 9.1%

Maintainers (1)

christoph.sax@gmail.com

Last synced: 6 months ago

Dependencies

DESCRIPTION cran

R >= 2.10 depends
anytime * imports
data.table >= 1.10.0 imports
dplyr * suggests
dygraphs * suggests
forecast * suggests
ggplot2 * suggests
imputeTS * suggests
knitr * suggests
nycflights13 * suggests
rmarkdown * suggests
scales * suggests
seasonal * suggests
spelling * suggests
testthat * suggests
tibble * suggests
tibbletime * suggests
tidyr * suggests
timeSeries * suggests
tis * suggests
tseries * suggests
tsibble >= 0.8.2 suggests
tsibbledata * suggests
units * suggests
xts * suggests
zoo * suggests

.github/workflows/R-CMD-check.yaml actions

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actions/checkout v2 composite
actions/upload-artifact main composite
r-lib/actions/setup-pandoc v1 composite
r-lib/actions/setup-r v1 composite

.github/workflows/test-coverage.yaml actions

actions/checkout v3 composite
actions/upload-artifact v3 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

ecosyste.ms

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Open Source Science

tsbox

Science Score: 26.0%

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Metadata Files

README.Rmd

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CodeMeta (codemeta.json)

GitHub Events

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Committers

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Committer Domains (Top 20 + Academic)

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cran.r-project.org: tsbox

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Maintainers (1)

Dependencies