id	feature	desc
0	Core functionality	This includes data access and management, programmability options, Custom Dialog Builder, and report creation, charting, and deployment functionality.
1	Presentation-quality output	Use IBM SPSS Statistics' superior graphical and output capabilities to deliver higher standard output.
2	Superior data management.	Work with IBM SPSS Statistics' data handling capabilities, and larger datasets – no in-memory limitations.
3	Nearly 2,000 free statistical functions	Available on The Comprehensive R Archive Network
4	Pre-wrapped R functions	Perform advanced procedures such as the Breusch-Pagan heteroscedasticity test. Pre-wrapped packages include: Estimate a linear model and carry out the Breusch-Pagan heteroscedasticity test, using the ncv.test function from the R car package. Estimate conditional quantiles for a linear model, using the rq function from the R quantreg package. Estimate a Rasch model for item response data, using the rasch function from the R ltm package. Estimate a linear regression model, robustly with an M estimator, using the rlm function from the R MASS package. Estimate a regression model with optional fixed upper and/or lower bounds for the dependent variable, using the tobit function from the R AER package. Calculate correlations for nominal, ordinal, and scale variables - accounting for the measurement levels of the variables - using the hector function from the R polycor package. Create boxplots with different options from standard IBM SPSS Statistics boxplots, using the R boxplot function.
5	More at SPSS Developer Central	Available at no cost. Visit www.spss.com/devcentral for more information.