The GitHub repo at includes slides and R Markdown documents with code. Her slides are at (Day 1) and bit.ly/silge-rstudioconf-2 (Day 2). Julia Silge, co-author of Text Mining with R, led this workshop. This was taught by Brad Boehmke, director of data science at 84.51°. Deep learning with Keras and TensorFlow in RĬheck out the robust GitHub repo which includes a number of R Markdown notebooks with code and explanations as well as links to slides and data. Toward the top there are links to see parts 1 through 6 separately.

This workshop has its own website where you can download slides, exercises, and solutions from Alison Hill’s sessions. Introduction to machine learning with the tidyverse There were two workshops on machine learning this year: an introduction to the still-evolving tidymodels machine learning package ecosystem and a more advanced session with Max Kuhn, creator of the well-known caret package. See information at the bottom of this page on how to download and install the workshop R package with exercises and solutions.

*.rdata - A file containing one or more R objects or workspaces can be created using save(), and loaded using load().Workshop leader Zev Ross said he posted both high-res slides for viewing and a PDF version for download.

*.rds - A file containing a R object can be created using saveRDS(), and loaded using readRDS().

What file types are typically associated with R?

Packages for literate statistical programming - weaving written reports and analysis code in one document.

Rivals (and in many cases, exceeds) SAS and Stata in terms of availability of advanced statistical methods and algorithms, through availability of user-created packages.

Available for Windows, Macintosh, and Linux.

It also offers an Import-Wizard-like feature that allows users to import CSV, Excel, SAS (*.sas7bdat), SPSS (*.sav), and Stata (*.dta) files into R without having to write the code to do so. (You must install R before you can install RStudio.) Its interface is organized so that the user can clearly view graphs, data tables, R code, and output all at the same time. RStudio is a free, open source IDE (integrated development environment) for R. R is a free, open source software program for statistical analysis, based on the S language.

R studio online