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.
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).
You can install iramuteqlike with:
# install.packages("remotes")
remotes::install_github("giperbio/iramuteqlike")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 @Unpublished{,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},
#> }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.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent