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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
```{r echo=FALSE, results="hide", message=FALSE}
library("badger")
```
# specmine
<!-- badges: start -->
```{r, echo = FALSE, results = 'asis'}
cat(
badge_cran_release("specmine", "green")
)
```
<!-- badges: end -->
The goal of *specmine* is to provide a set of methods for metabolomics
data analysis, including data loading in different formats,
pre-processing, metabolite identification, univariate and multivariate
data analysis, machine learning, feature selection and pathway analysis.
Case studies can be found on the website:
<http://bio.di.uminho.pt/metabolomicspackage/index.html>. This package
suggests ‘rcytoscapejs’, a package not in mainstream repositories. If
you need to install it, use:
`devtools::install_github('cytoscape/[email protected]')`.
## Installation
You can install the released version of *specmine* from [CRAN](https://CRAN.R-project.org) with:
``` r
install.packages("specmine")
```
And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("BioSystemsUM/specmine")
```
## Example
This is a basic example which shows you how to load the namespace of
*specmine* and add it to your search list:
``` r
library(specmine)
```