Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. To follow along with the code, download the ais.csv data file and the Course Code.R file from the class project page.
One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. In this course you will learn the basics to get started using the software - from downloading and installing through to some basic analyses. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. ) and graphical techniques, and is highly extensible. R programming language is a free, open-source project for statistical computing. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, bioinformatics. DOWNLOAD and INSTALL R and RStudio in WINDOWS or MAC, CHECK where R is. There are some important differences, but much code written for S runs unaltered under R.
R can be considered as a different implementation of S. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R is a language and environment for statistical computing and graphics.
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