turn on suggestions

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

Showing results for

- JMP User Community
- :
- Discussions
- :
- Using different sets of covariates?

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
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 16, 2016 1:31 AM
(808 views)

Hello,

I would like to set up an experiment with different sets of covariates:

- Set 1: Batch with Supplier nd Moisture as covariates

- Set 2: Laboratory analytical run, with Technician as covariate

The goal is to determine the effect of different factors in the manufacturing process (speed, force...), and assign the Batches/Suppliers/Moisture to the different processing runs.

However, since lab variation will affect the measure of interest, I also want the different experimental units made in production to be analysed by the lab such that the estimates of the factors of interest are not skewed by lab variation. For example, I don't want all the high force samples to be analysed on the same day/analytical run in the lab, or on different runs but by the same technician.

I can only get the custom designer to use 1 set of covariates, from 1 table. Is there a way to use two independent sets of covariates?

2 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 16, 2016 6:36 AM
(691 views)

Think about what you are asking. The two covariates must be related row-wise. A 'covariate' is pre-determined for each run, so these values would not be independent.

Learn it once, use it forever!

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 16, 2016 7:46 AM
(691 views)

Maybe I didn't describe what I am trying to do very well.

- I have 3 covariates in Set 1 (raw material covariates). Batch #, supplier and moisture are related (and are all be different columns in the same data table).

- I have 2 covariates in Set 2 (analytical covariates), the lab run and Technician (different columns in 2nd data table).

- I have independent process variables (speed, force...)

Obviously Set 1 and Set 2 are independent of each other. And the process variables are independent of each other and independent of the different Sets.

Is there a way to use both Sets in the design? I know how to get the custom designer to include the independent process variables and either 1)Batch #/supplier/moisture OR 2)lab run/Technician in the design, but no both.