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iramuteqlike

💬⛏️ IRaMuTeQ Software Analyses in R

https://github.com/danielvartan/iramuteqlike

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (21.2%) to scientific vocabulary

Keywords

iramuteq qualitative-analysis r r-package rstats text-analysis text-mining
Last synced: 6 months ago · JSON representation

Repository

💬⛏️ IRaMuTeQ Software Analyses in R

Basic Info
Statistics
  • Stars: 7
  • Watchers: 0
  • Forks: 2
  • Open Issues: 6
  • Releases: 1
Topics
iramuteq qualitative-analysis r r-package rstats text-analysis text-mining
Created over 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog Contributing Funding License Code of conduct Citation Codemeta

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

library(iramuteqlike)
```

# iramuteqlike 


[![Project Status: Active  The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![R-CMD-check](https://github.com/giperbio/iramuteqlike/workflows/R-CMD-check/badge.svg)](https://github.com/giperbio/iramuteqlike/actions)
[![Codecov test coverage](https://codecov.io/gh/giperbio/iramuteqlike/branch/main/graph/badge.svg)](https://app.codecov.io/gh/giperbio/iramuteqlike?branch=main)
[![License: MIT](https://img.shields.io/badge/license-MIT-green)](https://choosealicense.com/licenses/mit/)
[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg)](https://giperbio.github.io/iramuteqlike/CODE_OF_CONDUCT.html)


## Overview

`iramuteqlike` is an R package with tools to reproduce the [IRaMuTeQ](http://www.iramuteq.org/) software analyses in R. Its aim is to facilitate text analyses and to improve reproducibility in research.

The package use different methods to compute some analyses, hence, the results can differ from the [IRaMuTeQ](http://www.iramuteq.org/) software.

Please note that `iramuteqlike` is not related in any way with the [IRaMuTeQ](http://www.iramuteq.org/) developer team.

## Prerequisites

You need to have some familiarity with the [R programming language](https://www.r-project.org/) to use `iramuteqlike` main functions.

If you don't feel comfortable with R, we strongly recommend checking Hadley Wickham and Garrett Grolemund's free and online book [R for Data Science](https://r4ds.had.co.nz/) and the Coursera course from John Hopkins University [Data Science: Foundations using R](https://www.coursera.org/specializations/data-science-foundations-r) (free for audit students).

## Installation

You can install `iramuteqlike` with:

``` {r, eval = FALSE}
# install.packages("remotes")
remotes::install_github("giperbio/iramuteqlike")
```

## Citation

If you use `iramuteqlike` in your research, please consider citing it. We put a lot of work to build and maintain a free and open-source R package. You can find the citation below.

```{r}
citation("iramuteqlike")
```

## Contributing

We welcome contributions, including bug reports.

Take a moment to review our [Guidelines for Contributing](https://giperbio.github.io/iramuteqlike/CONTRIBUTING.html).




Become an `iramuteqlike` supporter!

Click [here](https://github.com/sponsors/danielvartan) to make a donation. Please indicate the `iramuteqlike` package in your donation message.

Owner

  • Name: Daniel Vartanian
  • Login: danielvartan
  • Kind: user
  • Location: São Paulo, Brazil
  • Company: @sustentarea

Academic. Passionate about #opendata and #openscience.

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Dependencies

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