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Making graphs with academic software tools (SPSS, Stata and R)

Making graphs with academic software tools (SPSS, Stata and R). Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar 6 on ‘Methods of data analysis: Approaches to visualisation’ www.thinkdata.org.uk , 7 Apr 2016.

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Making graphs with academic software tools (SPSS, Stata and R)

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  1. Making graphs with academic software tools (SPSS, Stata and R) Paul Lambert, University of Stirling Presentation to the Scottish Civil Society Data Partnership Project (S-CSDP), Webinar 6 on ‘Methods of data analysis: Approaches to visualisation’ www.thinkdata.org.uk, 7 Apr 2016

  2. Making graphs with academic software tools • Graphical summaries of statistical data… • ‘Classical’ or routinised tools of graphical summary (e.g. scatterplot, bar chart, line plot) • Integration of quantitative data with graphical summary via analytical software • Used in analysis and/or publication • Recent developments in graphical options via standard academic software • Innovations in presentation modes (e.g. multiple ‘trellis’ plots; representations of uncertainty) • Analytical innovations with their implications for displaying results (e.g. Bayesianism) • Online appendix options (e.g. interactive graphs) • Standard academic software doesn’t cater to all aspects of visualisation (cf. artwork) S-CSDP, 7 Apr 2016

  3. Academic software and ‘documentation for replication’ • Ideally work with ‘command scripts’ or ‘syntax’ • For graphs, benefit is reproducibility, adaptability, and collaboration capacity Next: Some brief examples of making selected graphical displays in Stata, SPSS & R: scsdp_webinar6.{sps/do/R} S-CSDP, 7 Apr 2016

  4. Classical Stata: crisp display options with considerable control over formating Stata scsdp_webinar6.do; [Mitchell 2012] Innovative Stata: e.g. trellis plots; summaries of summary statistics; predicted values… S-CSDP, 7 Apr 2016

  5. Classical SPSS: accessible defaults, with editing options for colours, patterns, text SPSS scsdp_webinar6.sps Innovative SPSS: e.g. of model-oriented interactive graphics S-CSDP, 7 Apr 2016

  6. R scsdp_webinar6.R; www.statmethods.net/graphs/ Innovative R: plausible simulated regression lines (using simulation functions and ‘qqplot’ extension library) Classical R: combined plots; matrix plots S-CSDP, 7 Apr 2016

  7. Summary: Graphing with academic tools • Wide range of statistical summary graphs available across software packages • Attractions of syntax-based graph construction • Academic software tools are not comprehensive (cf. popular and specialist visualisations) References cited • Bulmer, M., Gibbs, J., & Hyman, L. (Eds.). (2010). Social Measurement through Social Surveys: An Applied Approach. Aldershot: Ashgate. • Dorling, D. (2013). The Population of the UK, 2nd Edition. London: Sage. • Huff, D. (1954). How to Lie with Statistics. London: Gollancz. • Mitchell, M. N. (2012). A Visual Guide to Stata Graphics, Third Edition. College Station, Tx: Stata Press. S-CSDP, 7 Apr 2016

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