turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

Find a Community

- Home
- /
- Analytics
- /
- Stat Procs
- /
- SAS/STAT procedures for DOE analysis

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

05-18-2011 02:03 AM

I googled SAS DOE, only to find JMP and ADX. Are there any SAS/STAT procedures for analyzing the following designs:

Completely randomized designs

Randomized block designs

Full factorial designs

Fractional factorial designs

Response surface designs

Completely randomized designs

Randomized block designs

Full factorial designs

Fractional factorial designs

Response surface designs

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to MarcTC

05-18-2011 09:41 AM

If you search support.sas.com for the particular designs, you'll find the procedures to do them. For instance, searching for "randomized block design" yielded PROC FACTEX.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Doc_Duke

05-18-2011 10:19 AM

Thanks!

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to MarcTC

05-18-2011 11:03 AM

Also check out PROC PLAN and PROC OPTEX

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

05-18-2011 03:27 PM

I am new to SAS DOE tools. Is it true that PROC FACTEX is used for designing an experiment and PROC GLM is used for analyzing the DOE data?

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to MarcTC

05-20-2011 08:10 AM

PROC FACTEX is one way to create an experimental design. There are other ways.

PROC GLM is one way to analyze DOE data. There are other ways.

PROC GLM is one way to analyze DOE data. There are other ways.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Paige

05-20-2011 12:01 PM

> PROC FACTEX is one way to create an experimental

> design. There are other ways.

>

> PROC GLM is one way to analyze DOE data. There are

> other ways.

Paige, could you suggest a few for "other ways"?

> design. There are other ways.

>

> PROC GLM is one way to analyze DOE data. There are

> other ways.

Paige, could you suggest a few for "other ways"?

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to MarcTC

05-20-2011 12:34 PM

For response surface designs, you can use the RSREG (Response Surface REGression) procedure.

The MIXED procedure can be employed to analyze data collected for every one of the designs that you indicated in your first post. The MIXED procedure is frequently preferred over PROC GLM.

Recommendation of the procedures GLM, MIXED, and RSREG is predicated on the response being continuous, and inference from each of these procedures is conditioned on the residuals being normally distributed. There are a number of procedures (GENMOD, GLIMMIX, LOGISTIC, PROBIT) which can be employed to analyze data which have other distributional properties. As indicated by lvm, you really need to look at the introductory chapters to the SAS/STAT reference volume to get some idea of what procedures may be useful for problems of interest to you.

The MIXED procedure can be employed to analyze data collected for every one of the designs that you indicated in your first post. The MIXED procedure is frequently preferred over PROC GLM.

Recommendation of the procedures GLM, MIXED, and RSREG is predicated on the response being continuous, and inference from each of these procedures is conditioned on the residuals being normally distributed. There are a number of procedures (GENMOD, GLIMMIX, LOGISTIC, PROBIT) which can be employed to analyze data which have other distributional properties. As indicated by lvm, you really need to look at the introductory chapters to the SAS/STAT reference volume to get some idea of what procedures may be useful for problems of interest to you.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to MarcTC

05-20-2011 08:32 AM

Since you are new to sas, you really should read the introductory chapters of the SAS/STAT 9.2 User's Guide (pdf available for download).