Categorical data analysis, including contingency table analysis, measures of association, tests of independence, tests of symmetry. How to use R to fit GLMs using real data. Below are three data ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

So they developed a programming language with which they could perform data analysis themselves. R got its name in part from its developers’ initials, although it was also a reference to the ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...

She specializes in financial analysis in capital planning and investment management. Dr. JeFreda R. Brown is ... to collect the data needed to build a representative sample. Using stratified ...

R still has its place and has advantages for those doing data analysis. Hoping to settle the perennial R versus Python debate, University of California, Davis, professor of computer science Norm ...

While “Introduction to R Programming and Data Analysis ” is an introductory course (15 hours); “Data Analysis with R Programming” is the second part (next 15 hours). The objective of the ...