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.Rbuildignore

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^vignettes/articles$
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^\.positai$
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^\.claude$
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^README\.qmd$

README.Rmd

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README.md

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<!-- README.md is generated from README.Rmd. Please edit that file -->
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# inti <img src="man/figures/logo.png" align="right" width="200" />
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# inti
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<!-- badges: start -->
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[![CRAN
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status](https://www.r-pkg.org/badges/version/inti)](https://CRAN.R-project.org/package=inti)
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[![CRAN](https://img.shields.io/cran/v/inti.png)](https://cran.r-project.org/package=inti)
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[![DOI](https://zenodo.org/badge/82401374.svg)](https://zenodo.org/badge/latestdoi/82401374)
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[![R-CMD-check](https://github.com/Flavjack/inti/workflows/R-CMD-check/badge.svg)](https://github.com/Flavjack/inti/actions)
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[![CRAN RStudio mirror
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downloads](https://cranlogs.r-pkg.org/badges/grand-total/inti?color=brightgreen)](https://r-pkg.org/pkg/inti)
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<!-- badges: end -->
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[![Downloads](https://cranlogs.r-pkg.org/badges/grand-total/inti?color=brightgreen.png)](https://r-pkg.org/pkg/inti)
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The **inti** package is part of the **inkaverse** project, which
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develops tools and workflows for plant science, experimental design,
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data analysis, and scientific writing. The package supports researchers
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during experiment planning and field data collection through **Tarpuy**,
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statistical analysis and visualization through **Yupana**, and the
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preparation of scientific outputs.
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The ‘inti’ package is part of the ‘inkaverse’ project for developing
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different procedures and tools used in plant science and experimental
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designs. The mean aim of the package is to support researchers during
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the planning of experiments and data collection ‘tarpuy()’, data
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analysis and graphics ‘yupana()’, and technical writing. Learn more
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about the ‘inkaverse’ project at <https://inkaverse.com/>.
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More information about the project is available at
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<https://inkaverse.com/>.
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## Installation
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To install the stable version from
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[CRAN](https://cran.r-project.org/package=inti):
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The stable version of **inti** can be installed from CRAN:
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``` r
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install.packages("inti")
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```
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To install the latest development version directly from
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[GitHub](https://github.com/flavjack/inti):
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To install the latest development version directly from GitHub, it is
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recommended to use **pak**:
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``` r
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if (!requireNamespace("pak", quietly = TRUE)) {
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install.packages("pak")
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}
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pak::pkg_install("flavjack/inti")
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```
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To install a specific version from CRAN (e.g., version 0.4.4):
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``` r
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if (!require("remotes"))
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install.packages("remotes")
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remotes::install_github("flavjack/inti")
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if (!requireNamespace("pak", quietly = TRUE)) {
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install.packages("pak")
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}
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pak::pkg_install("inti@0.4.4")
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```
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If you need install an specific version:
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After installation, load the package:
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``` r
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if (!require("remotes"))
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install.packages("remotes")
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remotes::install_version("inti", version = "0.4.4")
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library(inti)
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```
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## Shiny apps
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## Shiny Applications
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The **inti** package includes two Shiny applications that provide
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graphical interfaces for experimental design, data management,
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statistical analysis, and result visualization.
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If is the first time running any of the apps consider install the app
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### Installing Application Dependencies
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The first time you run any of the applications, install the required
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dependencies:
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``` r
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inti::yupana(dependencies = TRUE)
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```
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After install the package and the app dependencies also you can access
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to the apps through the Addins list in Rstudio or running the following
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code:
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This step only needs to be performed once.
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### Launching the Applications
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The applications can be accessed directly from the **RStudio Addins**
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menu or launched from the R console.
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### Yupana
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**Yupana** is an interactive environment for statistical analysis and
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visualization of experimental data.
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``` r
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inti::yupana()
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```
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### Tarpuy
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**Tarpuy** is an interactive platform for experimental planning,
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field-book generation, treatment organization, and data management.
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``` r
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inti::tarpuy()

README.qmd

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---
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format:
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gfm:
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output-file: README.md
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editor: source
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---
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```{r}
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#| include: false
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knitr::opts_chunk$set(
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fig.align = "center",
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collapse = TRUE,
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comment = "#>"
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)
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```
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# inti
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[![CRAN](https://img.shields.io/cran/v/inti)](https://cran.r-project.org/package=inti)
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[![DOI](https://zenodo.org/badge/82401374.svg)](https://zenodo.org/badge/latestdoi/82401374)
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[![R-CMD-check](https://github.com/Flavjack/inti/workflows/R-CMD-check/badge.svg)](https://github.com/Flavjack/inti/actions)
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[![Downloads](https://cranlogs.r-pkg.org/badges/grand-total/inti?color=brightgreen)](https://r-pkg.org/pkg/inti)
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The **inti** package is part of the **inkaverse** project, which develops tools and workflows for plant science, experimental design, data analysis, and scientific writing. The package supports researchers during experiment planning and field data collection through **Tarpuy**, statistical analysis and visualization through **Yupana**, and the preparation of scientific outputs.
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More information about the project is available at <https://inkaverse.com/>.
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## Installation
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The stable version of **inti** can be installed from CRAN:
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```{r}
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#| eval: false
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install.packages("inti")
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```
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To install the latest development version directly from GitHub, it is recommended to use **pak**:
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```{r}
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#| eval: false
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if (!requireNamespace("pak", quietly = TRUE)) {
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install.packages("pak")
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}
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pak::pkg_install("flavjack/inti")
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```
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To install a specific version from CRAN (e.g., version 0.4.4):
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```{r}
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#| eval: false
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if (!requireNamespace("pak", quietly = TRUE)) {
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install.packages("pak")
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}
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pak::pkg_install("inti@0.4.4")
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```
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After installation, load the package:
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```{r}
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#| eval: false
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library(inti)
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```
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## Shiny Applications
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The **inti** package includes two Shiny applications that provide graphical interfaces for experimental design, data management, statistical analysis, and result visualization.
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### Installing Application Dependencies
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The first time you run any of the applications, install the required dependencies:
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```{r}
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#| eval: false
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inti::yupana(dependencies = TRUE)
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```
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This step only needs to be performed once.
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### Launching the Applications
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The applications can be accessed directly from the **RStudio Addins** menu or launched from the R console.
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**Yupana** is an interactive environment for statistical analysis and visualization of experimental data.
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```{r}
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#| eval: false
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inti::yupana()
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```
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**Tarpuy** is an interactive platform for experimental planning, field-book generation, treatment organization, and data management.
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```{r}
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#| eval: false
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inti::tarpuy()
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```
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