Cumberland University Statistical and Programming Features of R Discussion

User Generated

eninyv_123

Computer Science

Cumberland University

Description

Compare the statistical feature of R to its programming features. In a table format, describe the programming features available in R, explain how they are useful in analyzing big datasets.

Describe how the analytics of R are suited for Big Data.

Explanation & Answer:
2 pages
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Explanation & Answer

Attached.

Running Head: STATISTICAL AND PROGRAMMING FEATURES OF R

Statistical and Programming Features of R
Author’s Name
Institution Affiliation

1

2
STATISTICAL AND PROGRAMMING FEATURES OF R
R, created by Ross Ihaka and Robert Gentleman, is a programming language that
provides the best environment for statistical analysis as well as representation and reporting
of graphics. It has several functions that allow modular programming, looping, and
branching. This is due to its core, which is an interpreted Computer Language. R improves
efficiency by its ability to integrate procedures written in other languages such as C++, .Net,
C, Python, and FORTRAN, just to mention a few. Apart from the precompiled binary
versions present in Operating Systems (Linux, Windows, and Mac), R is as well available in
the GNU General Public Licenses for free. The following is a comparison drawn between its
statistical features and programming features.
The statistical features of R are those directly relating to its ability to use(s) for or in
statistics. The first feature is a data handling ability...


Anonymous
Really useful study material!

Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4

Related Tags