This repository contains example data used in SticsRPacks.

If you don't have a GIT client installed, or if you don't even know what GIT is, you can download all the template files at once using this link.

To clone the repository, use this command:

git clone https://github.com/SticsRPacks/data.git

All steps are made using R directly in this example.

1. The first step is to download (or clone) this repository to get the data. For this example, we will download the repository into a temporary directory created from R.

   • If you have the SticsRFiles package installed:

   # install.packages("SticsRFiles")
   data_dir = download_data(example_dirs = "study_case_1", version_name = "V9.0")

   • If you have GIT installed on your computer:

   # install.packages("git2r")
   data_dir= normalizePath(tempdir(), winslash = "/", mustWork = FALSE)
   git2r::clone("https://github.com/SticsRPacks/data.git",data_dir)

   • or else, downloading the ZIP archive:

   data_dir= normalizePath(tempdir(), winslash = "/", mustWork = FALSE)
   data_dir_zip= normalizePath(file.path(data_dir,"master.zip"), winslash = "/", mustWork = FALSE)
   download.file("https://github.com/SticsRPacks/data/archive/master.zip", data_dir_zip)
   unzip(data_dir_zip, exdir = data_dir)
   unlink(data_dir_zip)
   data_dir= normalizePath(list.dirs(data_dir)[2])

And now the data is available at the data_dir path for further use.

Some details about the data.

A simple parameter estimation with a single situation and a single observed variable. This data comes from a maize crop experiment (see description in Wallach et al., 2011).

A folder with the outputs for an intercrop simulation along with the observation files, the plant files and the usms.xml file.