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Exploratory Data Analysis with SAS and R

Exploratory Data Analysis with SAS and R. Kristin Vanderbilt University of New Mexico. Outline:. SAS Introduction SAS/Insight Guided Data Analysis R Graphics capabilities. SAS windows. Program editor Log Output. Animal brain weight/body weight data. Importing data into SAS.

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Exploratory Data Analysis with SAS and R

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  1. Exploratory Data Analysis with SAS and R Kristin Vanderbilt University of New Mexico

  2. Outline: • SAS • Introduction • SAS/Insight • Guided Data Analysis • R • Graphics capabilities

  3. SAS windows • Program editor • Log • Output

  4. Animal brain weight/body weight data

  5. Importing data into SAS

  6. SAS: Guided Data Analysis

  7. Explore data before doing regression Choose Summarize ….

  8. Normal probability plot of Brain_wt

  9. Histogram of Brain_Wt

  10. Select variables with which to make a matrix plot …

  11. Matrix Plot

  12. Run the regression Choose Analyze ….

  13. Explore Assumptions…..

  14. Outliers

  15. Leverage Points

  16. Other functions available under Guided Data Analysis …. • View and Edit data • Transform variables • Select and view specific observations • Query for subsets of data • Create a “journal” storing analysis results

  17. SAS/Insight • Tool for data exploration and analysis • Analyze univariate distributions, • Investigate multivariate distributions, and • Fit explanatory models using ANOVA and regression

  18. SAS/Insight: Interactive Data Analysis

  19. Create a box plot

  20. Brush a group of points

  21. Label selected points

  22. Run a regression ….

  23. Click on a variable and transform it

  24. Lots of statistics are available

  25. Cook’s Distance

  26. R: an Open Source alternative • There is an important difference in philosophy between S (and hence R) and the other main statistical systems. In S a statistical analysis is normally done as a series of steps, with intermediate results being stored in objects. Thus whereas SAS and SPSS will give copious output from a regression or discriminant analysis, R will give minimal output and store the results in a fit object for subsequent interrogation by further R functions.

  27. R provides a command line interpreter for a dialect of S

  28. Other graphical options in R: Copied from: http://www.r-project.org/

  29. Image and 3D plot of volcano From: http://www.r-project.org/

  30. References • http://www.r-project.org/ • http://cran.r-project.org/doc/contrib/Lemon-kickstart/index.html

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