4.11 – Chapter 4 – References

References and suggested readings

Anscombe, F. J. (1973). Graphs in statistical analysis. The American Statistician, 27(1), 17-21.

Chang W (2013) R graphics cookbook. O’Reilly Media, Sebastopol, CA.

Cumming G. Error bars in experimental biology. Journal of Cell Biology 177(1):7-11.

Cummings P (2003) Reporting statistical information in medical journals. Archives of Pediatrics & Adolescent Medicine 157:321-323.

Drummond, G. B., & Vowler, S. L. (2011). Show the data, don’t conceal them. Advances in physiology education, 35(2), 130-132.

Enattah, N. S., Sahi, T., Savilahti, E., Terwilliger, J. D., Peltonen, L., & Järvelä, I. (2002). Identification of a variant associated with adult-type hypolactasia. Nature genetics, 30(2), 233-237.

Few, S. Are mosaic plots worthwhile? http://www.perceptualedge.com/articles/visual_business_intelligence/are_mosaic_plots_worthwhile.pdf

Fienberg SE (1979) Graphical methods in statistics. The American Statistician 33:165-178.

Friendly, M. (1994) Mosaic Displays for Multi-Way Contingency Tables. Journal of the American Statistical Association 89(425):190-200

Galton F. Regression towards mediocrity in hereditary stature. The Journal of the Anthropological Institute of Great Britain and Ireland 1886;15:246–263.

Gelman, A., Pasarica, C., & Dodhia, R. (2002). Let’s practice what we preach: turning tables into graphs. The American Statistician, 56(2), 121-130.

Glazer, N. (2011). Challenges with graph interpretation: A review of the literature. Studies in science education, 47(2), 183-210.

Kampstra, P. (2008). Beanplot: A Boxplot Alternative for Visual Comparison of Distributions. Journal of Statistical Software, Code Snippets, 28(1), 1–9. https://doi.org/10.18637/jss.v028.c01

Klass GM (2012) Just Plain Data Analysis: Finding, presenting, and interpreting social science data, 2nd ed. Rowman & Littlefield

Kumaravel, T. S., Vilhar, B., Faux, S. P., & Jha, A. N. (2009). Comet assay measurements: a perspective. Cell biology and toxicology, 25(1), 53-64.

Meloncon, L., & Warner, E. (2017). Data visualizations: A literature review and opportunities for technical and professional communication. 2017 IEEE International Professional Communication Conference (ProComm), 1–9. https://doi.org/10.1109/IPCC.2017.8013960

Ovecka GD, Miller G, Medeiros DM. Fatty acids of liver, cardiac and adipose tissues from copper-deficient rats. Journal of Nutrition 1988; 118:480-488

Pietta, P., Simonetti, P., & Mauri, P. (1998). Antioxidant Activity of Selected Medicinal Plants. Journal of Agricultural and Food Chemistry, 46(11), 4487–4490. 

Scott (2009) Sturge’s rule. WIREs Computational Statistics 1(3):303-306.

Streit M, Gehlenborg N. Points of View: Bar charts and box plots. Nature Methods 2014;11(2):117.

Thring, T. S., Hili, P., & Naughton, D. P. (2011). Antioxidant and potential anti-inflammatory activity of extracts and formulations of white tea, rose, and witch hazel on primary human dermal fibroblast cells. Journal of Inflammation, 8(1), 27.

Tufte ER (1983) The Visual Display of Quantitative Information. Graphics Press, Chesire, Connecticut 06410

Weissgerber, T. L., Milic, N. M., Winham, S. J., & Garovic, V. D. (2015). Beyond bar and line graphs: time for a new data presentation paradigm. PLoS biology, 13(4), e1002128.

Wickham H (2016) ggplot2: elegant graphics for data analysis, 2nd edition. Springer, New York, NY.

Wickham H, Grolemund G (2016) R for data science: import, tidy, transform, visualize, and model data. O’Reilly Media, Sebastopol, CA.

Wickham, H. (2010). A Layered Grammar of Graphics. Journal of Computational and Graphical Statistics, 19(1), 3–28. 

Wilkinson L, Friendly M (2009) The history of the cluster heat map. American Statistician 63:179-184

Chapter 4 contents