knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of bikr is to present statistical analysis functionality for a sample BikeShare Dataset for the city of Pittsburgh, PA, retrieved from . This dataset presents trip data for BikeShare rides during the period _. The bikr package provides high-level analysis capabilities for BikeShare trip data, to compare trip lengths, time durations, as well as trip characteristics by rider characteristics. A number of additional data visualization components are also available, including scatterplots, histograms and line charts.
You can install the most recent version of bikr via:
if(!require(remotes)){ install.packages("remotes") library(remotes) } remotes::install_github("vanveghd/bikr")
Various functions are available in the bikr package for data visualization, statistical analysis and cross-referencing. The code below is one function, which gives visual presentations of BikeShare trip distances (histograms, length by date, etc.)
library(bikr) ## basic example code bikr::visualize_route_durations()
compare_means() visualize_route_durations()
To access/download the initial dataset from Pittsburgh BikeShare:
https://www.kaggle.com/adamscarroll/pittsburgh-healthy-ride-bikeshare-rentals-2021-q1
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