vignettes: timeseries - ordered observations
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- r
- Domain
- documentation
Research direction
Use the issue's ordered-observation topic list as the scope for a timeseries vignette. Begin by reviewing the listed data.table features, including joins, rolling functions, date-time helpers, and xts or nanotime support. Done means the relevant timeseries capabilities are documented in a coherent vignette, including any noted rolling-function gaps.
Written by the indexing model from the issue text.
Description
There is wide range of features that data.table has in context of ordered observations, if one works with timeseries data it is definitely worth to be aware of those:
key - clustered index
rleid
shift
rolling funs (yet to be completed)
nafill, setnafill
between
inrange
rolling join
non-equi .EACHI join
foverlaps
IDate, ITime, IDateTime
hour, isoweek, mday, minute, month, quarter, second, wday, week, yday, year
as.data.table.xts, as.xts.data.table
nanotime pkg support in fwrite
- Dominant language
- R
- Stars
- 3.9k
- Forks
- 1.1k
- Avg merge
- 14h 4m
- Merged PRs (30d)
- 4
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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