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Set constraint of two factors in Custom DOE
I have 5 continuous factors. The sum of the values of 2 factors always has to be 100. Should I only enter 1 of these 2 factors in the design and constrain it in the range of 0-100? Or is there a way to add both factors and set a constraint for their sum to be 100 in Custom DOE?
TC3303
2075 views | 6 replies -
How do I save tabulated dashboards?
I have combined 3 reports into a dashboard as shown below.Unfortunately, if I save and re-open this dashboard the result is as follows.How can I stop the organisation in tabs coming undone after saving? Any ideas?
peterrow
1090 views | 2 replies -
How to combinate two data tables and keep the original match and unmatched rows?
Hi,I have two data tables (f1 and f2). I like to compare f1 with f2 and create a new table f3 so that f3 merges the two tables with a match column. If any row is not matched, include the matched and not matched rows. I have attached data table f1 and f2 and what I like to have for data table f3. I have JMP PRO 15. I appreciate your help here. ThanksAdam
AT
828 views | 1 replies -
Combining rows with serial data
Hi - there are a few posts on this but they dont address this specific issuei need to get from example 1 to example 2. combine rows by ID # into one row with data aligned sequentially. Thanks
example 1id visit#. PGA 1 1 51 2 3 2 3 122 5 72 6 4 example 2id. visit# PGA. visit#. PGA. visit#. PGA#1. 1 5 ...jsolo01
1427 views | 3 replies -
How to bring a table to 1st level ?
Hi,I have a script that creates lots of table. in some specific case, I am defining a table as current to work on it,
dt = data table("name of my table");but I would like also to visualize it as a sanity check, in the script. I have not been able to find any hint in the help pdf file with Bring, 1st level, etc... I try something likeobj = current data table (dt); obj << show table(1);but no...
r23426
1093 views | 2 replies
Latest Discussions
-
Set constraint of two factors in Custom DOE
I have 5 continuous factors. The sum of the values of 2 factors always has to be 100. Should I only enter 1 of these 2 factors in the design and constrain it in the range of 0-100? Or is there a way to add both factors and set a constraint for their sum to be 100 in Custom DOE?
2075 views | 6 replies -
How to combinate two data tables and keep the original match and unmatched rows?
Hi,I have two data tables (f1 and f2). I like to compare f1 with f2 and create a new table f3 so that f3 merges the two tables with a match column. If any row is not matched, include the matched and not matched rows. I have attached data table f1 and f2 and what I like to have for data table f3. I have JMP PRO 15. I appreciate your help here. ThanksAdam
828 views | 1 replies -
What's the deal with leading underscores precisely?
I realize (yet again) that this is a noob question, but I don't find it adequately answered in the Scripting Index. As regards the use of two leading underscores, the Scripting Index is clear: To hide (or protect) a global variable, put two underscores (__) before the name. (Also something explained by Mauro Gerber during the last Scripter's Club session.)When it comes to single leading underscore...
Ressel
1167 views | 1 replies -
Python send() command is not working
Hi All, I am trying to test that my computer is able to run JSL scripts that use Python, I found two pieces of codes in the JMP help and I ran them using JMP 15. The following piece of code is working fine, It includes the python submit().
Names Default To Here( 1 ); Python Init(); Python Submit( "\[ basket = ['apple', 'orange', 'pear'] print(basket) print(basket[0]) print(basket[1]) ]\" ); Pyt...IceBreaker
2250 views | 7 replies -
C Stack Usage Error When Sending Code to R
Hello, I'm trying to invoke some commands in R using the R Submit function in JSL and am getting the error below. Is this an issue with JMP17 and R integration? It only happens when I invoke a specific package using JSL so it's hard for others to replicate w/o installing R and the package as well. I'm using JMP 17.0 and R 4.2.0. Never saw this error with JMP 16. "Error: C stack usage 4123778 is to...
vigslayer
837 views | 0 replies
Latest Discussions
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C Stack Usage Error When Sending Code to R
Hello, I'm trying to invoke some commands in R using the R Submit function in JSL and am getting the error below. Is this an issue with JMP17 and R integration? It only happens when I invoke a specific package using JSL so it's hard for others to replicate w/o installing R and the package as well. I'm using JMP 17.0 and R 4.2.0. Never saw this error with JMP 16. "Error: C stack usage 4123778 is to...
837 views | 0 replies -
How to fix X Axis Settings for Operating Characteristic Curves
I'm playing around with different scenarios on an Operating Characteristic curve in which the fraction defective is very small (screen shot below). Every time I run a scenario, the x-axis automatically changes to a range that is way too wide to be useful and I have to change it back manually.Is there a way to make the x-axis setting constant? (I'm using Jmp Pro 16.1)Thanks!
The_Annie
701 views | 0 replies -
Response Screening Effect Size - logistic
Related to the previous post How to get "Effect size" column with Response Screening functionality , I am also wondering how effect size in the response screening platform is calculated, specifically for categorical Y vs continuous X. JMP help shows: "When Y is categorical and X is continuous, the effect size is the square root of the average ChiSquare value for the whole model test." Running b...
wgardnerQS
829 views | 0 replies -
Linear mixed model not showing "Random Effect" noise in simulator/monte carlo
I have fit a Mixed Model via the Fit Model platform in JMP Pro. When opening up the 'Prediction Profiler', and inspecting the Profiler itself, I can see the as expected predicted response and its as expected confidence interval in [], which reflects the variation due to the Random Effects I have fit. However, when I run the 'Simulator' with equal experimental variables as above, and after adding ...
Vartian
691 views | 0 replies -
Monte Carlo / Simulator from Mixed Model not showing "Random Effect" noise
I have fit a Mixed Model via the Fit Model platform in JMP Pro. When opening up the 'Prediction Profiler', and inspecting the Profiler itself, I can see the as expected predicted response and its as expected confidence interval in [], which reflects the variation due to the Random Effects I have fit. However, when I run the 'Simulator' with equal experimental variables as above, and after adding n...
534 views | 0 replies
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