https://github.com/mzarowka/tinypsa

Process data from Beckman Coulter Laser diffraction
https://github.com/mzarowka/tinypsa

Last synced: 11 days ago
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Process data from Beckman Coulter Laser diffraction

• Host: GitHub
• URL: https://github.com/mzarowka/tinypsa
• Owner: mzarowka
• License: other
• Created: 2023-05-26T00:55:11.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-17T08:46:49.000Z (2 months ago)
• Last Synced: 2024-10-25T07:34:40.531Z (about 2 months ago)
• Language: R
• Size: 26.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

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%"

)

```

# tinyPSA

[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) [![CRAN status](https://www.r-pkg.org/badges/version/beckman.coulter)](https://CRAN.R-project.org/package=tinyPSA)

The goal of tinyPSA is to make it easier to process large amounts of csv data files produced from Particle Size Analysis output using Shiny interface. Fit specifically for The Sedimentary Records of Environmental Change Laboratory, Northern Arizona University.

## Installation

You can install the development version of tinyPSA from [GitHub](https://github.com/) with:

``` r

# install.packages("pak")

pak::pak("mzarowka/tinyPSA")

```

There are three main functions:

-   `tpsa_read()` - for reading multiple csv files.

-   `tpsa_gstat_populate()` for populating GRADISTAT.

-   `tpsa_gstat_read()` for cleaning GRADISTAT output.

And a helper shiny dashboard

```{r eval=FALSE}

tinyPSA::tpsa_app()

```