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
- :
- completely randomized block design: How to include...

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

Sep 9, 2016 8:30 AM
(927 views)

Hello,

Let's say I got an experimental wheat field where I want to investigate how different treatments influence my **YIELD**. The treatments are:

1) **PLOUGH**

A: ploughing at 20cm

B: ploughing at 40cm

C: no ploughing

2) **FERTILIZATION**

1: 100 Kg/ha

0: no fertilization

Unfortunately my field is inclined, therefore I need to add blocks (I, II, III)

Block I | A1 | B1 | C1 | A0 | B0 | C0 |

Block II | B1 | A0 | A1 | B0 | C0 | C1 |

Block III | C1 | B0 | C0 | A1 | A0 | B1 |

If I go to "Fit Model" and put my **YELD** as Y and use MACRO -> Fullfactorial with **PLOUGH** and **FERTILIZATION** I think I can get results just as a completely randomised design. So my question is: **How to include the blocks in Fit Model?**

Maybe I should use "Fit Y by X" (there is the block option). But then how to include the full-factorial?

Thank you,

Matteo

1 ACCEPTED SOLUTION

Accepted Solutions

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

Sep 9, 2016 12:52 PM
(964 views)

Solution

I would recommend using Custom Design.

I quickly just chose one three level categorical for Plough, one two-level categorical for Fertilizer and then chose block of size 6

Simulating that experiment gives this output. (I had to reset factor grid to show the block in the Prediction Profiler.

Hope this helps,

PS Perhaps you might want to investigate utilizing a Split-plot design

Lou

3 REPLIES

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

Sep 9, 2016 12:52 PM
(965 views)

I would recommend using Custom Design.

I quickly just chose one three level categorical for Plough, one two-level categorical for Fertilizer and then chose block of size 6

Simulating that experiment gives this output. (I had to reset factor grid to show the block in the Prediction Profiler.

Hope this helps,

PS Perhaps you might want to investigate utilizing a Split-plot design

Lou

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

Sep 12, 2016 12:36 AM
(852 views)

Thank you very much Lou. That's just an excellent explantation.

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

Sep 12, 2016 12:38 AM
(852 views)

This widget could not be displayed.