https://github.com/brunomontezano/strawberry

https://github.com/brunomontezano/strawberry

agronomia agronomy analysis-of-variance data-science ifrs strawberry yield

Last synced: about 1 month ago
JSON representation

• Host: GitHub
• URL: https://github.com/brunomontezano/strawberry
• Owner: brunomontezano
• License: gpl-3.0
• Created: 2021-09-28T19:25:43.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-29T19:18:49.000Z (about 3 years ago)
• Last Synced: 2024-01-28T02:06:12.801Z (11 months ago)
• Topics: agronomia, agronomy, analysis-of-variance, data-science, ifrs, strawberry, yield
• Language: R
• Homepage:
• Size: 351 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# stRawberry 

[![R-CMD-check](https://github.com/brunomontezano/stRawberry/workflows/R-CMD-check/badge.svg)](https://github.com/brunomontezano/stRawberry/actions)

The goal of stRawberry is to store the analyzes referring to strawberry experiments. The data were collected by Filipe Oliveira Mendes.

## Installation

The current version of stRawberry can be installed with:

``` r

# install.packages("remotes")

remotes::install_github("brunomontezano/stRawberry")

```

## Website

The website version of this package can be acessed through

[GitHub Pages](https://brunomontezano.github.io/stRawberry/).

## Language

The vast majority of the material present in the functions, pkgdown articles and command outputs in this repository are in Brazilian Portuguese, although the documentation is in English.

This is because the undergraduate thesis from these analyzes is written in Brazilian Portuguese. Therefore, the communcation between project authors can be simplified. 

## Acknowledgement

I'd like to thank Filipe Oliveira Mendes and Eduardo Montezano 

for providing the data used for the analysis, and also for giving

me the opportunity to participate in this project. 

I thank designer [Guilherme Bueno](https://guilhermebuenodesign.github.io/) for creating a logo for the repository here on GitHub.