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R (Computer program language)
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Video
The concepts behind linear regression, fitting a line to data with least squares and Rsquared, are pretty darn simple, so let's get down to it
 Course related:
 BRE366 Analytical Skills and Methods (Quantitative Research Methods)
 Subjects:
 Mathematics and Statistics
 Keywords:
 Regression analysis R (Computer program language)
 Resource Type:
 Video

ebook
Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.
 Subjects:
 Psychology and Statistics and Research Methods
 Keywords:
 R (Computer program language) Psychology  Statistical methods Information visualization Textbooks
 Resource Type:
 ebook

ebook
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, ttests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.
 Subjects:
 Psychology and Mathematics and Statistics
 Keywords:
 Statistics Social sciences  Statistical methods Textbooks Statistics  Computer programs R (Computer program language)
 Resource Type:
 ebook

ebook
Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed stepbystep process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language. All of the necessary resources are freely available online.
 Subjects:
 Mathematics and Statistics
 Keywords:
 Textbooks Linguistics  Statistical methods R (Computer program language) Mathematical linguistics
 Resource Type:
 ebook

MOOC
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to understand and compute pvalues and confidence intervals, all while analyzing data with R code. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research. Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. We start with simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.
 Subjects:
 Statistics and Research Methods and Mathematics and Statistics
 Keywords:
 Life sciences  Statistical methods Mathematical statistics  Data processing R (Computer program language)
 Resource Type:
 MOOC

Others
We provide advice and resources to enable you to develop and/or extend your statistical computing skills, helping you to independently use common statistical packages (R, Stata, SAS, SPSS) for the analysis of research data.

Video
Learn how to use R software for performing statistical tests.
 Subjects:
 Statistics and Research Methods
 Keywords:
 Statistics  Data processing Mathematical statistics  Data processing R (Computer program language)
 Resource Type:
 Video