Package: Routliers 0.0.0.3

Routliers: Robust Outliers Detection

Detecting outliers using robust methods, i.e. the Median Absolute Deviation (MAD) for univariate outliers; Leys, Ley, Klein, Bernard, & Licata (2013) <doi:10.1016/j.jesp.2013.03.013> and the Mahalanobis-Minimum Covariance Determinant (MMCD) for multivariate outliers; Leys, C., Klein, O., Dominicy, Y. & Ley, C. (2018) <doi:10.1016/j.jesp.2017.09.011>. There is also the more known but less robust Mahalanobis distance method, only for comparison purposes.

Authors:Olivier Klein [aut], Marie Delacre [aut, cre]

Routliers_0.0.0.3.tar.gz
Routliers_0.0.0.3.zip(r-4.7)Routliers_0.0.0.3.zip(r-4.6)Routliers_0.0.0.3.zip(r-4.5)
Routliers_0.0.0.3.tgz(r-4.6-any)Routliers_0.0.0.3.tgz(r-4.5-any)
Routliers_0.0.0.3.tar.gz(r-4.7-any)Routliers_0.0.0.3.tar.gz(r-4.6-any)
Routliers_0.0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Routliers/json (API)

# Install 'Routliers' in R:

install.packages('Routliers', repos = c('https://mdelacre.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mdelacre/routliers/issues

Datasets:

Attacks - Data collected the day after the terrorist attacks in Brussels (on the morning of 22 March 2016) assessing the Sense of Coherence, anxiety and depression symptoms of 2077 subjects (1056 were in Brussels during the terrorist attacks, and 1021 were not).
Intention - Study five of Rogers, T. & Milkman, K. L. (2016). Reminders through association. Psychological Science, 27, 973-986.
Morality - Replication of Experiments Evaluating Impact of Psychological Distance on Moral Judgment (Eyal, Liberman & Trope, 2008; Gong & Medin, 2012) Study 2

On CRAN:

5.25 score 11 stars 161 scripts 67 downloads 2 mentions 6 exports 18 dependencies

Last updated from:ca09ab5f5d. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	136
source / vignettes	OK	181
linux-release-x86_64	NOTE	128
macos-release-arm64	NOTE	150
macos-oldrel-arm64	NOTE	142
windows-devel	NOTE	93
windows-release	NOTE	85
windows-oldrel	NOTE	80
wasm-release	OK	111

Exports:outliers_mad outliers_mahalanobis outliers_mcd plot_outliers_mad plot_outliers_mahalanobis plot_outliers_mcd

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle MASS R6 RColorBrewer rlang S7 scales vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Data collected the day after the terrorist attacks in Brussels (on the morning of 22 March 2016) assessing the Sense of Coherence, anxiety and depression symptoms of 2077 subjects (1056 were in Brussels during the terrorist attacks, and 1021 were not).	Attacks
Study five of Rogers, T. & Milkman, K. L. (2016). Reminders through association. Psychological Science, 27, 973-986.	Intention
Replication of Experiments Evaluating Impact of Psychological Distance on Moral Judgment (Eyal, Liberman & Trope, 2008; Gong & Medin, 2012) Study 2	Morality
MAD function to detect outliers	outliers_mad
mahalanobis function to detect outliers	outliers_mahalanobis
MCD function to detect outliers	outliers_mcd
Plotting function for the mad	plot_outliers_mad
Plotting function for the Mahalanobis distance approach	plot_outliers_mahalanobis
Plotting function for the MCD	plot_outliers_mcd