# massstat

**Repository Path**: tidymass/massstat

## Basic Information

- **Project Name**: massstat
- **Description**: massstat repo
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-09-17
- **Last Updated**: 2024-03-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<!-- README.md is generated from README.Rmd. Please edit that file -->

# massstat <img src="man/figures/massstat_logo.png" align="right" alt="" width="120" />

[![](https://www.r-pkg.org/badges/version/massstat?color=green)](https://cran.r-project.org/package=massstat)
[![](https://img.shields.io/github/languages/code-size/tidymass/massstat.svg)](https://github.com/tidymass/massstat)
[![Dependencies](https://tinyverse.netlify.com/badge/massstat)](https://cran.r-project.org/package=massstat)
[![](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)

`massstat` is a part of [tidymass](https://www.tidymass.org/).

------

## **About**

`massstat` is a R package which is used for untargeted metabolomics data
statistical analysis.

-----

# **Installation**

You can install `massstat` from
[GitLab](https://gitlab.com/tidymass/massstat).

``` r
if(!require(remotes)){
install.packages("remotes")
}
remotes::install_gitlab("tidymass/massstat")
```

or [GitHub](https://github.com/tidymass/massstat).

``` r
remotes::install_github("tidymass/massstat")
```

# **Usage**

Please see the `Help documents` page to get the instruction of `massstat`.

# **Need help?**

If you have any quesitions about `massstat`, please don’t hesitate to
email me (<shenxt@stanford.edu>).

<i class="fa fa-weixin"></i>
[shenzutao1990](https://www.shenxt.info/files/wechat_QR.jpg)

<i class="fa fa-envelope"></i> <shenxt@stanford.edu>

<i class="fa fa-twitter"></i>
[Twitter](https://twitter.com/JasperShen1990)

<i class="fa fa-map-marker-alt"></i> [M339, Alway building, Cooper Lane,
Palo Alto,
CA 94304](https://www.google.com/maps/place/Alway+Building/@37.4322345,-122.1770883,17z/data=!3m1!4b1!4m5!3m4!1s0x808fa4d335c3be37:0x9057931f3b312c29!8m2!3d37.4322345!4d-122.1748996)


# **Citation**

If you use `massstat` in your publications, please cite this paper:

Shen, X., Yan, H., Wang, C. et al. TidyMass an object-oriented reproducible analysis framework for LC–MS data. Nat Commun 13, 4365 (2022). 

[Weblink](https://www.nature.com/articles/s41467-022-32155-w)

Thanks very much!