3 datasets found

q
Tutorial: Data Manipulation with dplyr
qubeshub.org
Updated Nov 11, 2025
Share
Facebook
Twitter
Email
Click to copy link
Link copied
Cite
Drew LaMar (2025). Tutorial: Data Manipulation with dplyr [Dataset]. http://doi.org/10.25334/H0V0-M514
Explore at:
Unique identifier
https://doi.org/10.25334/H0V0-M514
Dataset updated
Nov 11, 2025
Dataset provided by
QUBES
Authors
Drew LaMar
Description
In this tutorial, we will explore the tidyverse data manipulation package dplyr.
q
REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
qubeshub.org
Updated Aug 28, 2019
Share
Facebook
Twitter
Email
Click to copy link
Link copied
Cite
Jessica Joyner (2019). REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19 [Dataset]. http://doi.org/10.25334/M13H-XT81
Explore at:
Unique identifier
https://doi.org/10.25334/M13H-XT81
Dataset updated
Aug 28, 2019
Dataset provided by
QUBES
Authors
Jessica Joyner
Description
Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
r
Data from: Working with a linguistic corpus using R: An introductory note...
researchdata.edu.au
bridges.monash.edu
Updated May 5, 2022
Share
Facebook
Twitter
Email
Click to copy link
Link copied
Cite
Gede Primahadi Wijaya Rajeg; I Made Rajeg; Karlina Denistia (2022). Working with a linguistic corpus using R: An introductory note with Indonesian Negating Construction [Dataset]. http://doi.org/10.4225/03/5a7ee2ac84303
Explore at:
Unique identifier
https://doi.org/10.4225/03/5a7ee2ac84303
Dataset updated
May 5, 2022
Dataset provided by
Monash University
Authors
Gede Primahadi Wijaya Rajeg; I Made Rajeg; Karlina Denistia
License
Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
Description
This is a repository for codes and datasets for the open-access paper in Linguistik Indonesia, the flagship journal for the Linguistic Society of Indonesia (Masyarakat Linguistik Indonesia [MLI]) (cf. the link in the references below).

To cite the paper (in APA 6th style):
Rajeg, G. P. W., Denistia, K., & Rajeg, I. M. (2018). Working with a linguistic corpus using R: An introductory note with Indonesian negating construction. Linguistik Indonesia, 36(1), 1–36. doi: 10.26499/li.v36i1.71

To cite this repository:
Click on the Cite (dark-pink button on the top-left) and select the citation style through the dropdown button (default style is Datacite option (right-hand side)

This repository consists of the following files:
1. Source R Markdown Notebook (.Rmd file) used to write the paper and containing the R codes to generate the analyses in the paper.
2. Tutorial to download the Leipzig Corpus file used in the paper. It is freely available on the Leipzig Corpora Collection Download page.
3. Accompanying datasets as images and .rds format so that all code-chunks in the R Markdown file can be run.
4. BibLaTeX and .csl files for the referencing and bibliography (with APA 6th style).
5. A snippet of the R session info after running all codes in the R Markdown file.
6. RStudio project file (.Rproj). Double click on this file to open an RStudio session associated with the content of this repository. See here and here for details on Project-based workflow in RStudio.
7. A .docx template file following the basic stylesheet for Linguistik Indonesia

Put all these files in the same folder (including the downloaded Leipzig corpus file)!

To render the R Markdown into MS Word document, we use the bookdown R package (Xie, 2018). Make sure this package is installed in R.

Yihui Xie (2018). bookdown: Authoring Books and Technical Documents with R Markdown. R package version 0.6.
Not seeing a result you expected?
Learn how you can add new datasets to our index.