Vectors, lists, arrays, matrices and data frames -- a look at five of the most fundamental data structures built into R. Among my colleagues, R is one of the fastest-growing programming languages.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

When coding in any language, you must first recognize that certain symbols or combinations of symbols correspond to specific actions. Below are some general tips when coding in the R language: On any ...

From arrays to trees, this guide makes data structures simple. Master the basics and start building smarter, faster code today.

Before you start analyzing, you might want to take a look at your data object’s structure and a few row entries. If it’s a 2-dimensional table of data stored in an R data frame object with rows and ...