Abstract
The rich statistical computing environments which are available for data analysis also provide very flexible tools for practical work in the teaching and learning of statistics. R is an outstanding example of this, with an enormous variety of data exploration and modelling tools which are easily accessible. However, there is also a need to support students in the understanding and intuition of key statistical concepts and models. The tools available within R to create interactive graphical controls can be used for this to very good effect. This is explored through the rpanel package, which aims to make the creation of this type of control as straightforward as possible. Examples of interacting with data (in windowing time series), concepts (random variation and correlation) and models (analysis of covariance and logistic regression) are described. The mechanism for coding this type of interactive display is also outlined.
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Bowman, A.W. (2014). Interacting with Data, Concepts and Models: Illustrations from the rpanel Package for R . In: MacGillivray, H., Phillips, B., Martin, M. (eds) Topics from Australian Conferences on Teaching Statistics. Springer Proceedings in Mathematics & Statistics, vol 81. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0603-1_1
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