Are you dealing with massive amounts of data? Maybe you're trying to run some very complicated calculations. If so, you shouldn't be working within the limits of a spreadsheet app -- you should use a ...

Predictive analysis refers to the use of historical data and analyzing it using statistics to predict future events. It takes place in seven steps, and these are: defining the project, data collection ...

C# developers who want to wring more meaningful info from large sets of data should get cozy with the statistical computing language known as R. Let's get familiar with R in this new series. The R ...

This course aims to introduce the statistical software package R, focusing on providing the starting point needed to exploit R’s huge potential for statistical analysis. Please click on the sections ...

R is a powerful, versatile, and free statistical programming language, which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming ...

R is a free computing and graphical software/environment for statistical analysis. Part II of this short course consists of introduction to statistical analysis in R, including t-tests, ANOVA, linear ...

Equal Opportunity and Non-discrimination at Princeton University: Princeton University believes that commitment to equal opportunity for all is favorable to the free and open exchange of ideas, and ...

This course introduces the key aspects of data visualisation using R, with applications of powerful R tools to generate clear graphics and fully reproducible documents (e.g. analysis reports), and to ...

Are you new to R? Curious about applications within the social sciences? All are welcome to attend this introductory-level workshop to learn how to program in R Studio. Attendees will gain hands-on ...