Package: DTSg 1.1.3.9000
Gerold Hepp
DTSg: A Class for Working with Time Series Data Based on 'data.table' and 'R6' with Largely Optional Reference Semantics
Basic time series functionalities such as listing of missing values, application of arbitrary aggregation as well as rolling (asymmetric) window functions and automatic detection of periodicity. As it is mainly based on 'data.table', it is fast and (in combination with the 'R6' package) offers reference semantics. In addition to its native R6 interface, it provides an S3 interface for those who prefer the latter. Finally yet importantly, its functional approach allows for incorporating functionalities from many other packages.
Authors:
DTSg_1.1.3.9000.tar.gz
DTSg_1.1.3.9000.zip(r-4.5)DTSg_1.1.3.9000.zip(r-4.4)DTSg_1.1.3.9000.zip(r-4.3)
DTSg_1.1.3.9000.tgz(r-4.4-any)DTSg_1.1.3.9000.tgz(r-4.3-any)
DTSg_1.1.3.9000.tar.gz(r-4.5-noble)DTSg_1.1.3.9000.tar.gz(r-4.4-noble)
DTSg_1.1.3.9000.tgz(r-4.4-emscripten)DTSg_1.1.3.9000.tgz(r-4.3-emscripten)
DTSg.pdf |DTSg.html✨
DTSg/json (API)
NEWS
# Install 'DTSg' in R: |
install.packages('DTSg', repos = c('https://gisler.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gisler/dtsg/issues
- flow - Daily river flows
classreference-semanticstime-series-data
Last updated 11 months agofrom:da1f831730. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win | OK | Nov 03 2024 |
R-4.5-linux | OK | Nov 03 2024 |
R-4.4-win | OK | Nov 03 2024 |
R-4.4-mac | OK | Nov 03 2024 |
R-4.3-win | OK | Nov 03 2024 |
R-4.3-mac | OK | Nov 03 2024 |
Exports:alterby______by_____Sby____M_by___H__by_m____by_Q____byFasttime______byFasttime_____SbyFasttime____M_byFasttime___H__byFasttime_m____byFasttime_Q____byFasttimeY_____byFasttimeYm____byFasttimeYmd___byFasttimeYmdH__byFasttimeYmdHM_byFasttimeYmdHMSbyFasttimeYQ____byY_____byYm____byYmd___byYmdH__byYmdHM_byYmdHMSbyYQ____clonecolapplycolsDTSggetColinterpolateLinearnasrefreshrollapplyrollbackrowaggregaterowbindS3WrapperGeneratorsetColNamessetColsvalues
Dependencies:backportscheckmatedata.tableR6
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Aggregate values | aggregate aggregate.DTSg |
Alter time series | alter alter.DTSg |
Clone object | clone clone.DTSg |
Apply function column-wise | colapply colapply.DTSg |
Get column names | cols cols.DTSg |
DTSg class | DTSg new |
Daily river flows | flow |
Get column vector | getCol getCol.DTSg [.DTSg |
Linear interpolation | interpolateLinear |
Merge two objects | merge merge.DTSg |
List missing values | nas nas.DTSg |
Plot time series data | plot plot.DTSg |
Print object | print print.DTSg |
Object integrity | refresh refresh.DTSg |
Rolling window function | rollapply rollapply.DTSg |
Rollback of months | rollback |
Aggregate values row-wise | raggregate rowaggregate rowaggregate.DTSg |
Combine rows | rbind rowbind rowbind.DTSg |
S3 wrapper method generator | S3WrapperGenerator |
Set column names | setColNames setColNames.DTSg setnames |
Set column values | set setCols setCols.DTSg |
Subset time series data | subset subset.DTSg |
Summarise time series data | summary summary.DTSg |
Temporal Aggregation Level Functions (TALFs) | byFasttimeYmdHMS byFasttimeYmdHM_ byFasttimeYmdH__ byFasttimeYmd___ byFasttimeYm____ byFasttimeYQ____ byFasttimeY_____ byFasttime_m____ byFasttime_Q____ byFasttime___H__ byFasttime____M_ byFasttime_____S byFasttime______ byYmdHMS byYmdHM_ byYmdH__ byYmd___ byYm____ byYQ____ byY_____ by_m____ by_Q____ by___H__ by____M_ by_____S by______ TALFs |
Get values | values values.DTSg |