By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Side-by-side statistical analyses in R, SAS, SPSS
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
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
Last updated: 2009/06/11 at 6:07 PM
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…

More Read

Image

Big Data Sets You Can Use with R

Visualizing Katrina’s Strongest Winds with R
Demand for R Jobs on the Rise, While SAS Jobs Decline
What is R? A New Video on the History, Community and Applications of R [VIDEO]
It Takes Courage to Compete on Analytics


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.

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: r, statistical analysis
DavidMSmith June 11, 2009
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence
data Analytics instagram stories
Data Analytics Helps Marketers Make the Most of Instagram Stories
Analytics
data breaches
How Hospital Security Breaches Devastate Local Communities
Policy and Governance
analyst,women,looking,at,kpi,data,on,computer,screen
What to Know Before Recruiting an Analyst to Handle Company Data
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

Image
Big DataSoftware

Big Data Sets You Can Use with R

9 Min Read

Visualizing Katrina’s Strongest Winds with R

1 Min Read

Demand for R Jobs on the Rise, While SAS Jobs Decline

1 Min Read

What is R? A New Video on the History, Community and Applications of R [VIDEO]

2 Min Read

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

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?