<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# FarmDynR
Developed by Hugo Scherer and Marc Müller at Wageningen Economic Research.
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The goal of FarmDynR is to give the user the ability to aggregate FADN Data from GDX files to create representative farms for any grouping, generate descriptive statistics, and to run FarmDyn from R.
## Requirements
This package requires that you have GAMS and FarmDyn installed. Additionally, the package imports from:
- gdxrrw (remember to load GAMS with `igdx()` with the path to your version of GAMS)
- tidyverse
It also suggests:
- stringr
## Installation
You can install the development version of FarmDynR like so:
groupstats(filename = 'FarmDynRexampledata.gdx', BINDir = 'inst/extdata/GAMS/', gdxmap = 'gdxmapping', mapping = 'mapping', cols = c('a','b','c'), w = 'Weight', writegdx = FALSE, filtern = FALSE) # Good, there can also be more than one mapping with c('mapping1', 'mapping2'...)
To make it easy for you to get started with GitLab, here's a list of recommended next steps.
Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
## Add your files
-[ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
-[ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
<!-- README.md is generated from README.Rmd. Please edit that file -->
-[ ] [Set up project integrations](https://gitlab.iiasa.ac.at/mind-step/farmdynr/-/settings/integrations)
# FarmDynR
## Collaborate with your team
-[ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
-[ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
-[ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
-[ ] [Automatically merge when pipeline succeeds](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
## Test and Deploy
Use the built-in continuous integration in GitLab.
-[ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
-[ ] [Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
-[ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
-[ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
-[ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
***
# Editing this README
When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thank you to [makeareadme.com](https://www.makeareadme.com/) for this template.
Developed by Hugo Scherer and Marc Müller at Wageningen Economic
Research.
## Suggestions for a good README
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Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
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## Name
The goal of FarmDynR is to give the user the ability to aggregate FADN
Choose a self-explaining name for your project.
Data from GDX files to create representative farms for any grouping,
generate descriptive statistics, and to run FarmDyn from R.
## Description
## Requirements
Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
## Badges
This package requires that you have GAMS and FarmDyn installed.
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
Additionally, the package imports from: - gdxrrw (remember to load GAMS
with `igdx()` with the path to your version of GAMS) - tidyverse
## Visuals
It also suggests: - stringr
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
## Installation
## Installation
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
## Usage
Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
## Support
You can install the development version of FarmDynR like so:
Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
## Roadmap
``` r
If you have ideas for releases in the future, it is a good idea to list them in the README.
State if you are open to contributions and what your requirements are for accepting them.
For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
1. Create GDX files with the mappings, global settings per farm, farm
data, and weights
2. Load everything into R with `gdxbinwider()`
3. Use `samplr()` to create sample farms based on your selected mapping
4. Write batch file with `writeBatch()` and run FarmDyn with
`runFarmDynfromBatch()` using the created batch file
- Optional: Create descriptive statistics for reporting with
`groupstats()`
You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
## Example
## Authors and acknowledgment
This is a basic example which shows you how to solve a common problem:
Show your appreciation to those who have contributed to the project.
## License
``` r
For open source projects, say how it is licensed.
library(FarmDynR)
## basic example code
groupstats(filename='FarmDynRexampledata.gdx',BINDir='inst/extdata/GAMS/',gdxmap=gdxmapping,mapping=mapping,cols=c(a,b,c),w=Weight,writegdx=FALSE,filtern=FALSE)# Bad, won't work
## Project status
groupstats(filename='FarmDynRexampledata.gdx',BINDir='inst/extdata/GAMS/',gdxmap='gdxmapping',mapping='mapping',cols=c('a','b','c'),w='Weight',writegdx=FALSE,filtern=FALSE)# Good, there can also be more than one mapping with c('mapping1', 'mapping2'...)
If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.