Topic 6: R Programming Language in the Health Care Industry

Topic 6: R Programming Language in the Health Care Industry

Topic 6: R Programming Language in the Health Care Industry

Feb 17, 2022 – Feb 23, 2022 Max Points: 130
Resources
How to Install R Tools for Visual Studio
Read “How to Install R Tools for Visual Studio,” located on the Microsoft Visual Studio website.
https://docs.microsoft.com/en-us/visualstudio/rtvs/installing-r-tools-for-visual-studio?
view=vs-2017&viewFallbackFrom=vs-2019
Introduction to R Programming With DataCamp
View “Introduction to R Programming With DataCamp,” by General Assembly (2015), located on the YouTube
website.

The Radical Potential of Open Source Programming in Healthcare
Read “The Radical Potential of Open Source Programming in Healthcare,” by Filler (2015), located on the
Healthcare IT News website.
Page 14 Grand Canyon University 2022 © Prepared on: Jan 10, 2022
https://www.healthcareitnews.com/blog/radical-potential-open-source-programming-healthcare
R Programming for MS Developers With RTVS (R Tools for Visual Studio)
View “R Programming for MS Developers With RTVS (R Tools for Visual Studio),” by Burns (2016), located on the
YouTube website.

Get Started With R Tools for Visual Studio
The free Microsoft Visual Studio website, “Get Started With R Tools for Visual Studio,” can be used by learners
to learn about and practice R programming. Optional Practice: For additional practice, learners have the option
to use the website tutorial to begin a new R project. To do this, frst you must install R by clicking on
Quickstart/Installation from the left side menu. Next, on the left side menu, click on Tutorials/Getting started
with R.

https://docs.microsoft.com/en-us/visualstudio/rtvs/getting-started-with-r?view=vs-2017
The Data Scientist’s Toolkit: R Programming Language
Read “The Data Scientist’s Toolkit: R Programming Language,” by Campise, located on the Discover Data
Science website.

Why Clinical Laboratorians Should Embrace the R Programming Language
Read “Why Clinical Laboratorians Should Embrace the R Programming Language,” by Haymond and Master,
from Clinical Laboratory News (2020), located on the American Association for Clinical Chemistry (AACC)
website.
https://www.aacc.org/publications/cln/articles/2020/april/why-clinical-laboratorians-should-embrace-the-rprogramming-language
Optional – Visual Studio Product Family Documentation
For additional information, the following is recommended:
Explore the “Visual Studio Product Family Documentation” page on the Microsoft Visual Studio website for
assistance with Microsoft Visual Studio.
https://docs.microsoft.com/en-us/visualstudio/?view=vs-2019
Pros and Cons of R Programming Language – Unveil the Essential Aspects
Page 15 Grand Canyon University 2022 © Prepared on: Jan 10, 2022
Read “Pros and Cons of R Programming Language – Unveil the Essential Aspects!” (2019), located on the
DataFlair website.
https://data-fair.training/blogs/pros-and-cons-of-r-programming-language/
Control Flow Statements in R – Decision Making and Loops
Read “Control Flow Statements in R – Decision Making and Loops,” by Naveen (2021), located from the
IntelliPaat website.
https://intellipaat.com/blog/tutorial/r-programming/decision-making-and-loops/#Decision-Making
Data Structures in R Programming
Read Chapter 3, Lesson 1, “Data Structures in R Programming,” from the Computer Science 114: Programming in
R online course, by Kypridemos (2018), located on the Study.com website.
https://study.com/academy/lesson/data-structures-in-r-programming.html
Optional – Data Science: Foundations Using R Specialization
For additional information, the following is recommended:
If you choose to continue further studies in R programming, you can access free coursework through the “Data
Science: Foundations Using R Specialization” page of the Coursera website. You have the option to earn a
certifcate upon course completion and add the certifcate to your resume.
https://www.coursera.org/specializations/data-science-foundations-r
Health Care Analytics: Patient’s Visit Cycle Time (Using R)
View “Health Care Analytics: Patient’s Visit Cycle Time (Using R),” by Social Research Insights (2018), located on
the YouTube website.

Work With R in Visual Studio
Read “Work With R in Visual Studio,” located on the Microsoft Visual Studio website.
https://docs.microsoft.com/en-us/visualstudio/rtvs/?view=vs-2017
Page 16 Grand Canyon University 2022 © Prepared on: Jan 10, 2022
Assessments
Introduction to R
Start Date & Time Due Date & Time Points
Feb 17, 2022, 12:00 AM Feb 23, 2022, 11:59 PM 100
Review the “Introduction to R Programming With DataCamp,” video and the other topic Resources. Answer the
following R programming question related to the video and topic Resources (750 words minimum):
1. Discuss the advantages and disadvantages of R programming language in the health care industry.
2. Discuss applications of R for data analysis and visualization.
3. Discuss three R statements used for decision making. Include three corresponding example statements.
4. Describe two data visualization options in R programming language. Provide an example of a health care
data application for each of the visualization options selected (e.g., histogram). Make sure to provide both
the example and graph for each of your selected visualization examples.
5. What is the purpose of the Microsoft Visual Studio? List the commands used to create a new R project in
Visual Studio. What is your impression of the ease of use for this tool?
Learners may gain additional practice in R by viewing the Microsoft Visual Studio website. There you will be
able to practice using the Microsoft Visual Studio by using the interactive tool that allows you to create a new R
project.
APA style is not required, but solid academic writing is expected.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar
with the expectations for successful completion.
You are not required to submit this assignment to LopesWrite.
CAHIIM
This assignment aligns to the following AMIA 2017 Core Competencies for Health Informatics Curricula at the
master’s degree level:
F2: Information Science and Technology: Shows How