Tools and Statistical Procedures in Plant Science

The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and scientific writing. Learn more about the 'inkaverse' project at < https://inkaverse.com/>.

inti

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.

More information about the project is available at https://inkaverse.com/.

Installation

The stable version of inti can be installed from CRAN:

install.packages("inti")

To install the latest development version directly from GitHub, it is recommended to use pak:

if (!requireNamespace("pak", quietly = TRUE)) {
  install.packages("pak")
}

pak::pkg_install("flavjack/inti")

After installation, load the package:

library(inti)

Shiny Applications

The inti package includes two Shiny applications that provide graphical interfaces for experimental design, data management, statistical analysis, and result visualization.

Installing Application Dependencies

The applications can be accessed directly from the RStudio Addins menu or launched from the R console.

Yupana is an interactive environment for statistical analysis and visualization of experimental data.

inti:::yupana_full()

Tarpuy is an interactive platform for experimental planning, field-book generation, treatment organization, and data management.

inti:::tarpuy_full()