cloud.r-project.org

delorabradish.com

Microsoft Business Intelligence - Power BI

http://www.delorabradish.com/power-bi.html

Power BI and Creating Custom R Visualizations: Pre Getting Started / First Step Install List. I was recently on VM (virtual mentoring) duty at Pragmatic Works (PW) and was asked to fix someone's custom R visualization in Power BI (PBI) Desktop. Consequently, it was "Hello, R scripting! For me, and of course, I wanted to apply all that I've learned in t-SQL, VB, C#, MDX and DAX. First suggestion: Don't do that. Here is the skinny: Before you try to create custom R visualizations in PBI, do these things:.

happygitwithr.com

Happy Git and GitHub for the useR

http://happygitwithr.com/install-r-rstudio.html

Happy Git and GitHub for the useR. A work in progress. Is it going to hurt? What is the payoff? Who can do what? Special features of GitHub. What’s special about using R with Git and GitHub? What this is NOT. SatRday Cape Town 2017. CSAMA 2016: Statistical Data Analysis for Genome Biology. Success and operating systems. Register a GitHub account. Pay for private repos. Install or upgrade R and RStudio. More about R and RStudio. Introduce yourself to Git. Install a Git client. Make a repo on GitHub. RStud...

jabranham.com

J. Alexander Branham

http://jabranham.com/math-camp

Welcome to Math for Political Scientists, affectionately known as math camp. This course is meant as a math refresher for incoming graduate students to the Department of Government. Everything for the course is hosted on github. You may want to take a look at what is assumed knowledge. Functions and Intro to calculus. Scientific computing with R. Set theory and combinatorics. Scientific computing, continued. Wrap-up, methods at UT. Homework problems will be uploaded here the day they’re assigned. Latex i...

r4ds.had.co.nz

R for Data Science

http://r4ds.had.co.nz/introduction.html

R for Data Science. What you will learn. How this book is organised. What you won’t learn. Python, Julia, and friends. Getting help and learning more. The layered grammar of graphics. What’s in a name? Add new variables with. Combining multiple operations with the pipe. Grouping by multiple variables. Grouped mutates (and filters). A categorical and continuous variable. Where does your analysis live? Tibbles vs. data.frame. Interacting with older code. Compared to base R. Dates, date-times, and times.

peteredewitt.com

Software Packages

http://www.peteredewitt.com/software.html

Peter E. DeWitt. I am a Ph.D. Candidate in Biostatistics at the University of Colorado Anshutz Medical Campus. I have started to develop some R packages. Most of the work is publicly available on github. Here are the highlights:. Cpr: Control Polygon Reduction. Qwraps2: Quick Wraps 2. Or markdown. As such, I have commonly needed for format strings, build data summary tables, or build specific graphics. The qwraps2 package is a collection of functions and tools I have been building and collecting ...Metho...