Describe the project here: introduction, methodology, results, recommended form of citation etc.
Remember that github is the place where we exchange code. So this is the place where interested people look for instructions: How was the analysis carried out? What has to be considered when running the code? What do the variable names mean?
E.g.:
R version 3.5.0 (2018-04-23)
RStudio version 1.1.453
Deppendencies:
| package name | version number |
|---|---|
| dplyr | 0.8.3 |
| sf | 0.8-1 |
R Code to obtain above listed information :
# R version
print(version[['version.string']])
# R Studio Version
require(rstudioapi)
RStudioversionInfo <- versionInfo()
print(paste("RStudio version", RStudioversionInfo$version))
# list names of loaded libraries with version number
print(subset(data.frame(sessioninfo::package_info()), attached==TRUE, c(package, loadedversion)), row.names = FALSE)Thanks to the following people who have contributed to this project
first name last name
firstname.lastname@ji.statistik.zh.ch
phone number
This project uses the following license:
- Data license: Attribution 4.0 International
- Code license: Copyright (c) <2019> <Statistisches Amt Kanton Zürich>
We welcome contributions. Please see our CONTRIBUTING.md file for detailed guidelines of how to contribute.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.