Fall 2013 - Computational Statistics - STAT 4772/STAT 5772 - Fall 2013

Fall 2013

Final Exam Study Guide

Final Exam: 3-4:50 pm Tuesday: Test Study Guide...

Chapter 10 ANOVA assignment: Educ, Life, dummy1, dummy2. This is a .csv (comma separated values) file. You can look at it in Excel.

educLife <- read.csv("C:/R/EducLifeForAnova.csv")

The codes for the Life variable are:
   1   Exciting
   2   Routine
   3   Dull

   You can use these SPSS gss2000.sav value labels for your R factors:

      Placebo, Low Dose and High Dose in chapter 10 example.
      Exciting, Routine, and Dull for this general social survey 2000 
      --------  -------      ----                    gss2000.sav data.

1. Oct 17th: Bootstrapping with R Script file and assignment .csv Excel file (.csv and .xls). (Assignment to follow soon).

2. DSUR: Chapter 7 Code for Discovering Statistics Using R.

3. Week #7 files: Glastonbury Music Festival last 3 days.

4. Plotting and finding best fit models.

5. SAS JMP introduction.

6. Week 5 resources: 09/24 and 09/26... Logistic Regression, Stack and Melt Reshaping, .csv input, Histograms, and Exploring Assumption chapter.

7. Class #8 Thursday 09/19 Excel VBA, R graphs, R linear regression.

8. Exploring Data With Graphs: Assignment #1 R Graphs help, suggestions, and extended due date ...

9. DSUR: Andy Field Discovering Statistics Using R textbook resources/readings/resources.

10. Regression PDF from Crawley Stats with R book...

    Files: tannin.txt and regression.txt for scatterplot and simple linear regression.

11. Weka = Waikato Environment for Knowledge Analysis...

12. Class #3 Lynda tutorials R and R-Studio files...

13. Playing with R and R-Studio - based on examples from Peter Dalgaard book.

14. SPSS example files for week one introduction to SPSS.

    Crosstabs and CHI SQUARE, recoding variables from interval to ordinal (birthrate and female life expectancy for 15 and for 122 countries), linear regression, scatter plots. The best fitting linear regression line goes through the point that is the mean for the DV and the mean for the IV. DV = dependendent variable = y. IV = independent variable = x.

    SPSS Statistics Essential Training with Barton Poulson. This is another lynda.uni.edu resource. (5 hours and 5 minutes).

    In this course, author Barton Poulson takes a practical, visual, and non-mathematical approach to the basics of statistical concepts and data analysis in SPSS, the statistical package for business, government, research, and academic organization. From importing spreadsheets to creating regression models to exporting presentation graphics, this course covers all the basics, with an emphasis on clarity, interpretation, communicability, and application.

15. Go to lynda.uni.edu and login with your UNI CatID and password. Watch some of the R tutorial material to prepare for class #2. We will use RStudio as the interface to R statistical software.

    Up and Running with R with Barton Poulson. (2 hours 25 minutes).

    Join author Barton Poulson as he introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions.

    The course continues with examples on how to create charts and plots, check statistical assumptions and the reliability of your data, look for data outliers, and use other data analysis tools. Finally, learn how to get charts and tables out of R and share your results with presentations and web pages.

16. Michael J. Crawley book: Statistics: An Introduction Using R.

17. STAT 497C - Topics in R Statistical Language course.

18. Verzani Simple R book - online PDF version.

19. Practical Regression and ANOVA using R by Faraway.