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 ...

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 ...

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: ...

Contents: The R programming language is used for statistical data analysis and visualization. R and the R Studio development environment are a globally used tool set for statistical analysis and data ...

Introduction to Data Visualisation and Web Applications Using R This course introduces the key aspects of data visualisation using R, with applications of powerful R tools to generate clear graphics ...