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
    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
    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
  • 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

Sum / Amount
Implementing Enterprise 2.0 at Intuit, Part Three: Cultural and Organizational Shifts
Video for the Enterprise CTO
Clarity – Pick One Voice
Overcoming Objections to a Data Governance Program

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

cloud dataops for metering
Taming the IoT Firehose: How Utilities Are Scaling Cloud DataOps for Smart Metering
Cloud Computing Exclusive Internet of Things IT
ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic
data=driven approach
Turning Dead Zones Into Data-Driven Opportunities In Retail Spaces
Big Data Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Terabytes of trees

4 Min Read

Google’s coding standards for R

2 Min Read

R/Finance 2009 roundup

8 Min Read

Find yourself a safer place to swim or fish in the Bay Area

4 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
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?