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tashu  

Analysis and Prediction of Bicycle Rental Amount
View on CRAN: Click here


Download and install tashu package within the R console
Install from CRAN:
install.packages("tashu")

Install from Github:
library("remotes")
install_github("cran/tashu")

Install by package version:
library("remotes")
install_version("tashu", "0.1.1")



Attach the package and use:
library("tashu")
Maintained by
Jiwon Min
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-04
Latest Update: 2021-01-13
Description:
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().
How to cite:
Jiwon Min (2019). tashu: Analysis and Prediction of Bicycle Rental Amount. R package version 0.1.1, https://cran.r-project.org/web/packages/tashu. Accessed 28 Jan. 2025.
Previous versions and publish date:
0.1.0 (2019-09-04 11:30)
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