BookmarkSubscribeRSS Feed
☑ This topic is solved. Need further help from the community? Please sign in and ask a new question.
Aline_A16
Calcite | Level 5

Hello, 

i have a quick question : does the proc factor (method=prin) need prior standardization (mean=0 and std=1) of the continuous variables or by default is it included in the procedure? Actually, i am used to work with R software and for example the package FactoMineR with the PCA function performs a standardization by default.

Thank you in advance ! 

Aline

1 ACCEPTED SOLUTION

Accepted Solutions
PaigeMiller
Diamond | Level 26

Correlation comes from transforming variables to have mean=0 and variance=1. Covariance has mean=0, but no transformation of the variance is done.

--
Paige Miller

View solution in original post

3 REPLIES 3
PaigeMiller
Diamond | Level 26

By default, PROC FACTOR works on correlation matrices. You can optionally request that it work on covariance matrices.

--
Paige Miller
Aline_A16
Calcite | Level 5

I should go back to my statistics courses cause i forgot the difference between covariance and correlation matrix. Can you tell me in which case i need to perform a prior standardization ?

PaigeMiller
Diamond | Level 26

Correlation comes from transforming variables to have mean=0 and variance=1. Covariance has mean=0, but no transformation of the variance is done.

--
Paige Miller

Ready to join fellow brilliant minds for the SAS Hackathon?

Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.

Register today!
How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 3 replies
  • 504 views
  • 0 likes
  • 2 in conversation