extract_features

<p>data with feature columns and others</p>

data

<p>Extract feature columns from train/test dataset</p>

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().

Jiwon Min

extract_features: Extract feature columns from train/test dataset

Description

Usage

Arguments

Value