Data Frames

Kevin Feasel

2016-05-24

R

Saravanan Subramanian has an introduction to data frames in R:

The R data frame is a high level data structure which is equivalent to a table in database systems.  It is highly useful to work with machine learning algorithms, and it’s very flexible and easy to use.

The standard definition of data frames are a “tightly coupled collections of variables which share many of the properties of matrices and of lists, used as the fundamental data structure by most of R‘s modeling software.”

Data frames are a powerful abstraction and make R a lot easier for database professionals than application developers who are used to thinking iteratively and with one object at a time.

Related Posts

An Introduction To seplyr

John Mount guest blogs on the Revolutions blog about seplyr: seplyr is an R package that supplies improved standard evaluation interfaces for many common data wrangling tasks. The core of seplyr is a re-skinning of dplyr‘s functionality to seplyr conventions (similar to how stringr re-skins the implementing package stringi). Read on for a couple of examples of where seplyr can make it easier for you to […]

Read More

R In Linux For Windows

David Smith shows how to install and use R in the Windows Subsystem for Linux: R has been available for Windows since the very beginning, but if you have a Windows machine and want to use R within a Linux ecosystem, that’s easy to do with the new Fall Creator’s Update (version 1709). If you […]

Read More

Categories

May 2016
MTWTFSS
« Apr Jun »
 1
2345678
9101112131415
16171819202122
23242526272829
3031