## ICEtree ## **ICEtree v. 1.0** ICEtree is an interactive web application written in R and Shiny for exploring components of the International Corpus of English from a quantitative perspective. The app allows the user to apply a range of methods for visually exploring similarities between (groups of) texts on various levels of granularity. The app comes in three formats: i) source code, ii) a standalone version and iii) a browser-based version. When running ICEtree from source code, you need to install R and all necessary packages (a list of all required packages is listed in the file app.r). The standalone version comes prepackaged with a portable version of R and all required packages are pre-installed. This standalone version is only compatible with Windows. And finally, ICEtree can also be accessed via this link: [https://eng-ling.uni-bamberg.de/shiny/ICEtree/][1] ### References ### #### Corpora #### International Corpus of English - ICE Canada (ICE-CAN) - ICE Jamaica (ICE-JA) - ICE Great Britain (ICE-GB) - ICE Hong Kong (ICE-HK) - ICE India (ICE-IND) - ICE Singapore (ICE-SIN) - ICE USA (ICE-USA) #### Software #### - Anthony, Laurence. 2018. AntConc. Tokyo, Japan: Waseda University. Bird, Steven, Ewan Klein & Edward Loper. 2009. Natural Language Processing with Python: Analyzing text with the natural language toolkit, 1st edn. Beijing: O'Reilly. - Garside, R. & N. Smith. 1997. A hybrid grammatical tagger: CLAWS4. In Roger Garside, Geoffrey N. Leech & Tony McEnery (eds.), Corpus annotation: Linguistic information from computer text corpora, 102–121. London [u.a.]: Longman. - Nini, Andrea. 2019. The Multi-Dimensional Analysis Tagger. In Tony B. Sardinha & Marcia Veirano Pinto (eds.), Multi-Dimensional Analysis: Research Methods and Current Issues, 67–94. London: Bloomsbury. - R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. - RStudio Team. 2019. RStudio: Integrated Development Environment for R. Boston, MA. #### R packages #### - Attali, Dean. 2018. shinyjs: Easily Improve the User Experience of Your Shiny Apps in Seconds. - Chang, Winston & Barbara Borges Ribeiro. 2018. shinydashboard: Create Dashboards with 'Shiny'. - Chang, Winston, Joe Cheng, JJ Allaire, Yihui Xie & Jonathan McPherson. 2019. shiny: Web Application Framework for R: 1.4.0. - Dowle, Matt & Arun Srinivasan. 2019. data.table: Extension of 'data.frame'. - Handcock, Mark S. 2016. Relative Distribution Methods. - Hope, Ryan M. 2013. Rmisc: Ryan Miscellaneous. - Liaw, Andy & Matthew Wiener. 2002. Classification and Regression by randomForest. R News 2(3). 18–22. - Mahto, Ananda. 2019. splitstackshape: Stack and Reshape Datasets After Splitting Concatenated Values. - Neuwirth, Erich. 2014. RColorBrewer: ColorBrewer Palettes. - Ooms, Jeroen. 2020. The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects. - Paradis, Emmanuel & Klaus Schliep. 2019. ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R. Bioinformatics 35(3). 526–528. - Sali, Andras. 2017. shinycssloaders: Add CSS Loading Animations to 'shiny' Outputs. - Sievert, Carson. 2020. plotly for R. - Slowikowski, Kamil. 2019. ggrepel: Automatically Position Non-Overlapping Text Labels with. - Trestle Technology, LLC & Jeff Allen. 2019. shinyTree: jsTree Bindings for Shiny. - Warnes, George R., Ben Bolker, Gregor Gorjanc, Gabor Grothendieck, Ales Korosec, Thomas Lumley, Don MacQueen, Arni Magnusson & Jim Rogers. 2017. gdata: Various R Programming Tools for Data Manipulation. - Wickham, Hadley. 2011. The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software 40(1). 1–29. - Wickham, Hadley. 2016. ggplot2: Elegant graphics for data analysis (Use R!), 2nd edn. Cham: Springer. - Wickham, Hadley. 2018. scales: Scale Functions for Visualization. - Wickham, Hadley, Jim Hester & Francois Romain. 2018. readr: Read Rectangular Text Data. - Xie, Yihui, Joe Cheng & Xianying Tan. 2019. DT: A wrapper of the JavaScript Library 'DataTables'. - Yu, Guangchuang, David Smith, Huachen Zhu, Yi Guan, Tommy T.-Y. Lam & (Keine Angabe). 2017. ggtree: an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution 8(1). 28–36. [1]: https://eng-ling.uni-bamberg.de/shiny/ICEtree/