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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 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

Training and Learning: A Different POV
An Able Grape at the Helm of Twitter Search
Create animated graphics with R
Top Tech Disruptors of the 2000’s
IBM’s IoT Foundation Available for Beta Test Drive

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

business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

SAS formally announces integration with R in SAS/IML Studio

1 Min Read

R and the Next Big Thing

7 Min Read

CRAN R 2.9.0 now available

2 Min Read

Open Source Analytics Reaches Main Street (and Some Other Trends in Analytics)

8 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?