Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Side-by-side statistical analyses in R, SAS, SPSS
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Side-by-side statistical analyses in R, SAS, SPSS
Uncategorized

Side-by-side statistical analyses in R, SAS, SPSS

DavidMSmith
DavidMSmith
3 Min Read
SHARE

Have you ever needed to do a type of statistical analysis you haven’t done in a while (or perhaps ever), and weren’t quite sure how to get started in R? In this situation, my usual starting point is to find an example of a similar analysis someone else has done, and then adapt it to my own data set (with regular reference to the help pages). 

UCLA Academic Technology Services has a website that can help with that process. On their Data Analysis Examples page you can find a number of worked examples of various common and not-so-common statistical procedures performed in R, including:
  • Single-sample t-test
  • Logistic Regression
  • Ordinal Logistic Regression
  • Negative Binomial Regression
  • Canonical Correlation Analysis

Each page includes one or more examples of the type of analysis in question. (For example: “We wish to study the influence of age, gender and exercise on whether or not someone has a heart attack. Again, we have a binary response variable, whether or not a heart attack occurs.”) Also provided is all the code in R to download the data and conduct the analysis…


Have you ever needed to do a type of statistical analysis you haven’t done in a while (or perhaps ever), and weren’t quite sure how to get started in R? In this situation, my usual starting point is to find an example of a similar analysis someone else has done, and then adapt it to my own data set (with regular reference to the help pages). 

More Read

The World’s Weirdest Group Hug: U2, Big Pharma, Broadband Cable Providers, Youtube & Me!
Jeff’s Search Engine Caffe: Open Source Resources
Multi-Tenant vs. Hosted Cloud ERP: Pros and Cons
Data Governance and Data Quality
A Pole Position in the Mobile Services Market Race?

UCLA Academic Technology Services has a website that can help with that process. On their Data Analysis Examples page you can find a number of worked examples of various common and not-so-common statistical procedures performed in R, including:
  • Single-sample t-test
  • Logistic Regression
  • Ordinal Logistic Regression
  • Negative Binomial Regression
  • Canonical Correlation Analysis

Each page includes one or more examples of the type of analysis in question. (For example: “We wish to study the influence of age, gender and exercise on whether or not someone has a heart attack. Again, we have a binary response variable, whether or not a heart attack occurs.”) Also provided is all the code in R to download the data and conduct the analysis.

Better yet, if you’re already familiar with how to do the analysis in another system such as SAS or SPSS, the code for many of the same examples is also available for those systems. If you’re a SAS user (for example) looking at the code for Probit Regression side-by-side in SAS and then in R is a great way of using your SAS knowledge to learn R.

UCLA Academic Technology Services: Data Analysis Examples

Link to original post

TAGGED:rstatistical analysis
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Training students on mega-scale data

3 Min Read

Learning R

8 Min Read

R Foundation clarifies position on package licenses

3 Min Read

REvolution Computing training series announced

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?