Provides functions for analyzing citizens' bicycle usage pattern and predicting rental amount on specific conditions. Functions on this package interacts with data on 'tashudata' package, a 'drat' repository. 'tashudata' package contains rental/return history on public bicycle system('Tashu'), weather for 3 years and bicycle station information. To install this data package, see the instructions at <https://github.com/zeee1/Tashu_Rpackage>. top10_stations(), top10_paths() function visualizes image showing the most used top 10 stations and paths. daily_bike_rental() and monthly_bike_rental() shows daily, monthly amount of bicycle rental. create_train_dataset(), create_test_dataset() is data processing function for prediction. Bicycle rental history from 2013 to 2014 is used to create training dataset and that on 2015 is for test dataset. Users can make random-forest prediction model by using create_train_model() and predict amount of bicycle rental in 2015 by using predict_bike_rental().
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2, lubridate, dplyr, randomForest, plyr, reshape2, RColorBrewer, drat |
| Suggests: | knitr, rmarkdown, tashudata |
| Published: | 2019-09-04 |
| Author: | Jiwon Min [aut, cre] |
| Maintainer: | Jiwon Min <miw5281 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | tashu results |
| Reference manual: | tashu.pdf |
| Vignettes: |
tashu |
| Package source: | tashu_0.1.0.tar.gz |
| Windows binaries: | r-devel: tashu_0.1.0.zip, r-release: tashu_0.1.0.zip, r-oldrel: tashu_0.1.0.zip |
| macOS binaries: | r-release: tashu_0.1.0.tgz, r-oldrel: tashu_0.1.0.tgz |
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