Overview
iramuteqlike is an R package with tools to reproduce the IRaMuTeQ 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 software.
Please note that iramuteqlike is not related in any way with the IRaMuTeQ developer team.
Prerequisites
You need to have some familiarity with the R programming language 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 and the Coursera course from John Hopkins University Data Science: Foundations using R (free for audit students).
Installation
You can install iramuteqlike with:
# 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.
citation("iramuteqlike")
#>
#> To cite {iramuteqlike} in publications use:
#>
#> Vartanian, D., & Souza, A. A. (2023). {iramuteqlike}: tools to
#> reproduce the IRaMuTeQ software analyzes. R package version
#> 0.1.0.9000. https://giperbio.github.io/iramuteqlike/
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Unpublished{,
#> title = {{iramuteqlike}: tools to reproduce the IRaMuTeQ software analyzes},
#> author = {Daniel Vartanian and Alesandra {Araujo de Souza}},
#> year = {2023},
#> url = {https://giperbio.github.io/iramuteqlike/},
#> note = {R package version 0.0.0.9000},
#> }Contributing
We welcome contributions, including bug reports.
Take a moment to review our Guidelines for Contributing.
Become an iramuteqlike supporter!
Click here to make a donation. Please indicate the iramuteqlike package in your donation message.
