tigerhitteR: Pre-Process of Time Series Data Set in R (original) (raw)
Pre-process for discrete time series data set which is not continuous at the column of 'date'. Refilling records of missing 'date' and other columns to the hollow data set so that final data set is able to be dealt with time series analysis.
| Version: | 1.1.0 |
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| Depends: | R (≥ 3.3.1) |
| Imports: | openxlsx (≥ 3.0.0), zoo (≥ 1.7-13), Hmisc (≥ 3.17-4), magrittr (≥ 1.5) |
| Published: | 2016-10-03 |
| DOI: | 10.32614/CRAN.package.tigerhitteR |
| Author: | Will Kuan |
| Maintainer: | Will Kuan |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Willdata/tigerhitteR |
| NeedsCompilation: | no |
| CRAN checks: | tigerhitteR results |
Documentation:
| Reference manual: | tigerhitteR.html , <tigerhitteR.pdf> |
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Downloads:
| Package source: | tigerhitteR_1.1.0.tar.gz |
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| Windows binaries: | r-devel: tigerhitteR_1.1.0.zip, r-release: tigerhitteR_1.1.0.zip, r-oldrel: tigerhitteR_1.1.0.zip |
| macOS binaries: | r-release (arm64): tigerhitteR_1.1.0.tgz, r-oldrel (arm64): tigerhitteR_1.1.0.tgz, r-release (x86_64): tigerhitteR_1.1.0.tgz, r-oldrel (x86_64): tigerhitteR_1.1.0.tgz |
| Old sources: | tigerhitteR archive |
Linking:
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