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")Adopt this portion of the chapter 10 R Script file: ANOVA.txt...
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.
Files: tannin.txt and regression.txt for scatterplot and simple linear regression.
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.
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.