(courtesy: Liza Konopelko of Kaggle)
We live in an era where there is a surplus of information flowing in every second. Sometimes this leads to stress.
A dataset of lengthy multi-domain social media data for identifying stress from five different categories of Reddit communities.
Turcan, E., & McKeown, K. (2019). Dreaddit: A Reddit dataset for stress analysis in social media. arXiv preprint arXiv:1911.00133.
citation(package = "faraway")
To cite package ‘faraway’ in publications use:
Julian Faraway (2016). faraway: Functions and Datasets for Books by Julian Faraway. R package version 1.0.7. https://CRAN.R-project.org/package=faraway
A BibTeX entry for LaTeX users is
@Manual{, title = {faraway: Functions and Datasets for Books by Julian Faraway}, author = {Julian Faraway}, year = {2016}, note = {R package version 1.0.7}, url = {https://CRAN.R-project.org/package=faraway}, }
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
citation(package = "readr")
To cite package ‘readr’ in publications use:
Hadley Wickham and Jim Hester (2021). readr: Read Rectangular Text Data. R package version 2.0.1. https://CRAN.R-project.org/package=readr
A BibTeX entry for LaTeX users is
@Manual{, title = {readr: Read Rectangular Text Data}, author = {Hadley Wickham and Jim Hester}, year = {2021}, note = {R package version 2.0.1}, url = {https://CRAN.R-project.org/package=readr}, }
citation(package = "mlbench")
To cite package mlbench in publications use:
Friedrich Leisch & Evgenia Dimitriadou (2021). mlbench: Machine Learning Benchmark Problems. R package version 2.1-3.
To cite data sets from the UCI repository (as indicated in the help pages) use:
Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
To see these entries in BibTeX format, use 'print(, bibtex=TRUE)', 'toBibtex(.)', or set 'options(citation.bibtex.max=999)'.
citation(package = "corrplot")
To cite corrplot in publications use:
Taiyun Wei and Viliam Simko (2021). R package 'corrplot': Visualization of a Correlation Matrix (Version 0.90). Available from https://github.com/taiyun/corrplot
A BibTeX entry for LaTeX users is
@Manual{corrplot2021, title = {R package 'corrplot': Visualization of a Correlation Matrix}, author = {Taiyun Wei and Viliam Simko}, year = {2021}, note = {(Version 0.90)}, url = {https://github.com/taiyun/corrplot}, }
citation(package = "car")
To cite the car package in publications use:
John Fox and Sanford Weisberg (2019). An {R} Companion to Applied Regression, Third Edition. Thousand Oaks CA: Sage. URL: https://socialsciences.mcmaster.ca/jfox/Books/Companion/
A BibTeX entry for LaTeX users is
@Book{, title = {An {R} Companion to Applied Regression}, edition = {Third}, author = {John Fox and Sanford Weisberg}, year = {2019}, publisher = {Sage}, address = {Thousand Oaks {CA}}, url = {https://socialsciences.mcmaster.ca/jfox/Books/Companion/}, }
citation(package = "caret")
To cite package ‘caret’ in publications use:
Max Kuhn (2021). caret: Classification and Regression Training. R package version 6.0-88. https://CRAN.R-project.org/package=caret
A BibTeX entry for LaTeX users is
@Manual{, title = {caret: Classification and Regression Training}, author = {Max Kuhn}, year = {2021}, note = {R package version 6.0-88}, url = {https://CRAN.R-project.org/package=caret}, }
citation(package = "Cubist")
To cite package ‘Cubist’ in publications use:
Max Kuhn and Ross Quinlan (2021). Cubist: Rule- And Instance-Based Regression Modeling. R package version 0.3.0. https://CRAN.R-project.org/package=Cubist
A BibTeX entry for LaTeX users is
@Manual{, title = {Cubist: Rule- And Instance-Based Regression Modeling}, author = {Max Kuhn and Ross Quinlan}, year = {2021}, note = {R package version 0.3.0}, url = {https://CRAN.R-project.org/package=Cubist}, }
Copyright (c) 2021 Robert (Christian) Paul & Liza Konopelko
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