![]() Given the diversity in educational background of our students we have divided the series into seven parts. By using R scripts to analyze data, you will learn the basics of conducting reproducible research. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. We will use visualization techniques to explore new data sets and determine the most appropriate approach. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We provide R programming examples in a way that will help make the connection between concepts and implementation. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. ![]()
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