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Apr 27, 2013 5:50 PM
(2711 views)

Hello,

I am trying to set up a design in the following way:

Custom Design | ||

Factor | Type | Level |

Drop Height | Discrete Numeric | 3 |

Size | Discrete Numeric | 3 |

Material | Categorical | 2 |

Replicates | Blocks | 3 |

As mentioned I am using the custom design option, and using 18 runs per block. And I have 3 response variable and a total of 54 total runs. The problem I am facing is that when JMP is making the design table, the distribution of levels is not unique. Sometime times there are more than 3 replicates for a certain level, some level 2 of the discrete numeric factors are getting skipped. I have included the following along with this most:

1) Custom Design - JMP - Full Model: This is the actual project model based on the table mentioned above. The highlighted items are the ones that are getting unnecessarily duplicated

2) Custom Design_Vikram : This is the JMP project file, which I quickly setup to show that level 2 is missing for discrete numeric factors X1 and X2.

Can you please suggest the correct way to deal with this?

Solved! Go to Solution.

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Apr 28, 2013 1:02 PM
(4916 views)

Solution

I'm not sure what is going on. You have not changed the model terms have you? There are some "if possible" terms that are required to drive the model.

11 REPLIES

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Apr 28, 2013 12:29 PM
(2557 views)

Vikram,

I had no problem obtaining a balanced design with your conditions. I just increased the number os starts (under the red triangle) to 1000 and all three of my blocks and also set my user specified run number = 54 and I had a balance of the discrete numeric factors and categorical factors.

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Apr 28, 2013 12:34 PM
(2557 views)

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Apr 28, 2013 12:37 PM
(2557 views)

I changed the start to a 1000, but still I am not getting the correct design. I have copied the custom design tab in this post. If you see for discrete numeric variables X1 and X2 level 2 is missing. Thanks.

Design

Run X1 X2 X3 X4

1 1 1 L2 2

2 1 1 L2 2

3 3 1 L2 3

4 3 1 L2 3

5 3 3 L2 1

6 3 3 L2 1

7 3 1 L2 1

8 3 1 L2 2

9 1 3 L1 2

10 3 1 L2 2

11 3 3 L1 2

12 3 1 L1 2

13 1 1 L2 3

14 1 1 L1 2

15 3 1 L1 3

16 3 1 L1 2

17 1 3 L2 2

18 3 3 L1 1

19 3 1 L1 1

20 3 3 L1 3

21 1 3 L2 1

22 3 3 L2 3

23 1 1 L1 2

24 3 3 L1 2

25 3 1 L1 3

26 3 1 L2 1

27 3 3 L2 2

28 1 1 L1 1

29 3 3 L1 3

30 1 1 L1 3

31 1 3 L1 2

32 1 3 L2 1

33 3 3 L2 3

34 1 3 L1 1

35 1 1 L1 3

36 1 1 L1 1

37 1 3 L2 1

38 1 1 L1 1

39 1 1 L2 1

40 3 1 L2 2

41 1 1 L2 1

42 3 3 L1 2

43 3 1 L1 1

44 1 3 L1 1

45 3 3 L2 2

46 3 3 L1 1

47 1 3 L2 3

48 1 3 L1 3

49 1 3 L2 2

50 1 3 L1 3

51 1 3 L2 3

52 1 3 L1 3

53 1 1 L2 3

54 3 1 L1 3

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Apr 28, 2013 12:44 PM
(2557 views)

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Apr 28, 2013 12:48 PM
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Apr 28, 2013 12:51 PM
(2557 views)

I don't think that you need to specify the replicates.

enter your factors

enter your block of 18 runs per block

enter 54 as number of runs

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Apr 28, 2013 12:56 PM
(2557 views)

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Apr 28, 2013 1:02 PM
(4917 views)

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Apr 28, 2013 1:06 PM
(2557 views)