- William R. Shadish, Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Wadsworth Cengage learning.
- amazon,UVic Library has a hardcopy.
- Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data: A model comparison perspective (Vol. 1). Psychology Press.
- The book has a website with scripts used in the text, datasets are on the CD that comes with the book. Uvic Library has a hardcopy
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning. New York: Springer.
- Full text, slides and videos are available online for free. Book's website. UVic Library has a hardcopy.
- Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.
- publisher, amazon, Uvic Library has a hardcopy
- Spector, P. (2008). Data manipulation with R. Springer Science & Business Media.
- publisher, amazon, UVic Library has an ecopy
- Venables, W. N., Smith, D. M., & R Development Core Team. (2002). An introduction to R.
- Dalgaard, P. (2008). Introductory Statistics with R. Springer Science & Business Media. Peter Dalgaard walks through the major statistical methods in R.
- publisher, amazon, UVic Library has an ecopy
- Verzani, J. (2014). Using R for introductory statistics. CRC Press.
- publisher, amazon
- Hothorn, T., & Everitt, B. S. (2014). A handbook of statistical analyses using R. CRC press.
- publisher, amazon, UVic Library has an hard copy, direct download link
Introductory Statistics for the Health Sciences covers an undergraduate statistics course and offers a collection of templates for visualizing basic statistical tests in R. See their GitHub repository for scripts and graph examples.
- Chang, W. (2012). R Cookbook. O'Reilly Media, Inc.
- perfect book to get you started producing graphs with ggplot2 in RStudio
- publisher, amazon
- I recommend hardcopy + ecopy bundle from the publisher's website
- Murrell, P. (2011). R graphics. CRC Press.
- publisher, amazon, Uvic Library hard copy,
- see book's website for the R code for all the graphs in the book
- Resources Opinions Will Beasley gives brief reviews of key books and resources
- CRAN books on R
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Appelbaum, M. I., & Cramer, E. M. (1974). Some problems in the nonorthogonal analysis of variance. Psychological Bulletin, 81(6), 335.
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Cramer, E. M., & Appelbaum, M. I. (1980). Nonorthogonal analysis of variance—once again. Psychological Bulletin, 87(1), 51.
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Friendly, M., & Denis, D. (2005).The early origins and development of the scatterplot. Journal of the History of the Behavioral Sciences, 41(2), 103-130.
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Jones, L. V., & Tukey, J. W. (2000). A sensible formulation of the significance test. Psychological methods, 5(4), 411.
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Mook, D. G. (1983). In defense of external invalidity. American psychologist, 38(4), 379.
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Lee Rodgers, J., & Nicewander, W. A. (1988). Thirteen ways to look at the correlation coefficient. The American Statistician, 42(1), 59-66.
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Rodgers, J. L. (1999).The Bootstrap, the Jackknife, and the Randomization Test: A Sampling Taxonomy. Multivariate Behavioral Research, 34(4), 441-456.
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Rodgers, J. L. (2010). The epistemology of mathematical and statistical modeling: a quiet methodological revolution. American Psychologist, 65(1), 1.
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Wickham, H. (2014). Tidy Data. Journal of Statistical Software, 59(10).
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Dalgaard, P. (2008). Introductory Statistics with R. Springer Science & Business Media.
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James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning. New York: Springer.
-
Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press.
-
Maxwell, S. E., & Delaney, H. D. (2004). Designing experiments and analyzing data: A model comparison perspective (Vol. 1). Psychology Press.
-
Murrell, P. (2011). R graphics. CRC Press.
-
William R. Shadish, Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Wadsworth Cengage learning.
-
Venables, W. N., Smith, D. M., & R Development Core Team. (2002). An introduction to R.
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Verzani, J. (2014). Using R for Introductory Statistics. CRC Press.