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rwalkr  

API to Melbourne Pedestrian Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rwalkr", "0.5.7")



Attach the package and use:
library("rwalkr")
Maintained by
Earo Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-01
Latest Update: 2022-11-15
Description:
Provides API to Melbourne pedestrian and weather data in tidy data form.
How to cite:
Earo Wang (2017). rwalkr: API to Melbourne Pedestrian Data. R package version 0.5.7, https://cran.r-project.org/web/packages/rwalkr. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2017-08-01 10:32), 0.2.0 (2017-08-09 10:01), 0.3.0 (2017-09-02 10:59), 0.3.1 (2017-09-24 10:24), 0.3.2 (2017-11-12 05:14), 0.3.3 (2018-03-19 06:20), 0.3.4 (2018-07-19 12:20), 0.4.0 (2018-12-13 06:50), 0.5.0 (2019-11-18 07:00), 0.5.1 (2020-01-08 07:50), 0.5.2 (2020-03-20 09:10), 0.5.3 (2020-06-19 10:20), 0.5.4 (2021-01-15 11:50), 0.5.5 (2021-02-05 11:10), 0.5.6 (2021-08-16 17:30)
Other packages that cited rwalkr R package
View rwalkr citation profile
Other R packages that rwalkr depends, imports, suggests or enhances
Complete documentation for rwalkr
Functions, R codes and Examples using the rwalkr R package
Some associated functions: melb_shine . melb_walk . melb_walk_directional . melb_walk_fast . melb_weather . pull_sensor . pull_weather_sensors . pull_weather_types . 
Some associated R codes: scrape.R . shiny.R . soda.R . weather.R .  Full rwalkr package functions and examples
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