Contact

• emi.tanaka@anu.edu.au
• github.com/emitanaka
• @statsgen
• For more information, please contact me via email.

Skills

• Expert: R, HTML/CSS, LaTeX
• Intermediate: Git/GitHub, Python, Bash, JS
• Languages: English (fluent) and Japanese (conversational)

Interests

• Research: experimental design, mixed models, data visualisation, visual inference, bioinformatics, statistical genetics, selective breeding, software development, statistical workflow
• Non-Research: drawing (but not good at it), reading (manga, manhwa and non-fiction books)

Emi Tanaka

1. Li, W, Cook, D, Tanaka, E, & VanderPlas, S (2024) A plot is worth a thousand tests: Assessing residual diagnostics with the lineup protocol. Journal of Computational and Graphical Statistics, 1-19. 10.1080/10618600.2024.2344612 Citations: 2.
2. Tanaka, E (2023) edibble: An R package to encapsulate elements of experimental designs for better planning, management and workflow. 10.48550/arxiv.2311.09705
3. Tanaka, E (2023) Towards a unified language in experimental designs propagated by a software framework. 10.48550/arxiv.2307.11593
4. Tanaka, E (2022) Getting the most out of your experimental data with design. Biometric Bulletin, 39 (4), 9-13.
5. Tanaka, E & Amaliah, D (2022) Current state and prospects of R-packages for the design of experiments. 10.48550/arxiv.2206.07532 Citations: 1.
6. Amaliah, D, Cook, D, Tanaka, E, Hyde, K, & Tierney, N (2022) A journey from wild to textbook data to reproducibly refresh the wages data from the national longitudinal survey of youth database. Journal of Statistics and Data Science Education, 0 (ja), 1-27. 10.1080/26939169.2022.2094300 Citations: 2.
7. Tanaka, E, Leung, J, & Cook, D (2022) Commentary on “visualization in operations management research”: Incorporating statistical thinking into visualization practices for decision making in operational management. INFORMS Journal on Data Science 10.1287/ijds.2021.0008 Citations: 1.
8. Cook, D, Reid, N, & Tanaka, E (2021) The foundation is available for thinking about data visualization inferentially. Harvard Data Science Review 10.1162/99608f92.8453435d Citations: 10.
9. Morota, G, Cheng, H, Cook, D, & Tanaka, E (2021) ASAS-NANP SYMPOSIUM: Prospects for interactive and dynamic graphics in the era of data-rich animal science. Journal of animal science, 99 (2) 10.1093/jas/skaa402 Citations: 12.
10. Tanaka, E (2020) Simple outlier detection for a multi-environmental field trial. Biometrics, 76 (4), 1374-1382. 10.1111/biom.13216 Citations: 13.
11. Tanaka, E & Hui, F (2019) Symbolic formulae for linear mixed models. Statistics and data science, 3-21. 10.1007/978-981-15-1960-4_1 Citations: 3.
12. Hui, F, Tanaka, E, & Warton, D (2018) Order selection and sparsity in latent variable models via the ordered factor LASSO. Biometrics, 74 (4), 1311-1319. 10.1111/biom.12888 Citations: 30.
13. Norman, A, Taylor, J, Tanaka, E, Telfer, P, Edwards, J, Martinant, J, & Kuchel, H (2017) Increased genomic prediction accuracy in wheat breeding using a large Australian panel. Theoretical and applied genetics, 130 (12), 2543-2555. 10.1007/s00122-017-2975-4 Citations: 42.
14. Tanaka, E, Ral, J, Li, S, Gaire, R, Cavanagh, C, Cullis, B, & Whan, A (2017) Increased accuracy of starch granule type quantification using mixture distributions. Plant methods, 13, 107. 10.1186/s13007-017-0259-2 Citations: 9.
15. Tanaka, E (2014) Statistical methods for improving motif evaluation. PhD Thesis
16. Tanaka, E, Bailey, T, & Keich, U (2014) Improving MEME via a two-tiered significance analysis. Bioinformatics, 30 (14), 1965-1973. 10.1093/bioinformatics/btu163 Citations: 26.
17. Liachko, I, Tanaka, E, Cox, K, Chung, S, Yang, L, Seher, A, Hallas, L, Cha, E, Kang, G, Pace, H, Barrow, J, Inada, M, Tye, B, & Keich, U (2011) Novel features of ARS selection in budding yeast lachancea kluyveri. BMC genomics, 12, 633. 10.1186/1471-2164-12-633 Citations: 26.
18. Tanaka, E, Bailey, T, Grant, C, Noble, W, & Keich, U (2011) Improved similarity scores for comparing motifs. Bioinformatics, 27 (12), 1603-1609. 10.1093/bioinformatics/btr257 Citations: 64.

• edibble

  An R-package that implements the grammar of experimental design.
  Creator and maintainer. GitHub stars: 216
  Source: https://github.com/emitanaka/edibble
  Documentation: https://edibble.emitanaka.org

• flipbookr

  An R-package that parses code, creates partial code builds, delivers code movie
  Author. GitHub stars: 198
  Source: https://github.com/EvaMaeRey/flipbookr
  Documentation: https://evamaerey.github.io/flipbookr/

• anicon

  An R-package to insert animated icons for R markdown and Shiny apps.
  Creator. GitHub stars: 121
  Source: https://github.com/emitanaka/anicon
  

• simulate

  An R-package for a parametric simulation framework to generate complex multivariate and multilevel data.
  Creator and maintainer. GitHub stars: 1
  Source: https://github.com/emitanaka/simulate
  

• nestr

  An R-package to build hierarchical or nested sturctures.
  Creator and maintainer. GitHub stars: 13
  Source: https://github.com/emitanaka/nestr
  Documentation: https://nestr.emitanaka.org

• monash

  A utility R-package with consolidated tools and templates for staffs at Monash University.
  Creator and maintainer. GitHub stars: 22
  Source: https://github.com/numbats/monash
  

• sugar

  An R-package for instructors to create a shiny app for particular unit to review grade and attendance of students.
  Supervisor.GitHub stars: 2
  Source: https://github.com/numbats/sugar
  Documentation: https://numbats.github.io/sugar/

• xaringan

  An R package for creating slideshows with remark.js through R Markdown.
  Contributor. My contribution is the adaptation of the ninja-theme shown in the Documentation. GitHub stars: 1494
  Source: https://github.com/yihui/xaringan
  Documentation: https://github.com/emitanaka/ninja-theme

• anidb

  An R-package to fetch data from the anime database at AniDB.
  Creator and maintainer. GitHub stars: 1
  Source: https://github.com/emitanaka/anidb
  

• ggmatplot

  Plot Columns of Two Matrices Against Each Other Using ‘ggplot2’
  Author. GitHub stars: 5
  Source: https://github.com/xuan-liang/ggmatplot
  Documentation: https://xuan-liang.github.io/ggmatplot/

• gghdr

  Plots of highest density regions (HDR) for ggplot2.
  Listed as author but my contribution is small. GitHub stars: 50
  Source: https://github.com/ropenscilabs/gghdr
  Documentation: https://ropenscilabs.github.io/gghdr

• shinycustomloader

  Add a custom loader for R shiny.
  Creator. GitHub stars: 119
  Source: https://github.com/emitanaka/shinycustomloader
  

• datalegreyar

  Datalegreya, the typeface that melts text and data visualisation, for R markdown.
  Creator. GitHub stars: 45
  Source: https://github.com/emitanaka/datalegreyar
  

• Tomtom

  A motif comparison tool part of the MEME Suite.
  The -incomplete-scores is an implementation as a result of Tanaka et al. (2011).
  

  Documentation: https://meme-suite.org/meme/doc/tomtom.html