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How to create a second Y axes scale?
I have 9 parameter and 4 of them have a low values (0 to 40) while the others 5 have values from 21 to 780. I would like to graph all together as seem below, but built a second Y axes for the first 4 parameters. My data set (table) has the following columns: ID Time Parameter Data
sanchezpeinado
5505 views | 10 replies -
Custom shade alternate rows in table box
Hi, Is there a way to custom-shade alternate rows for the table box, not the data table box? I want to shade green instead of dark gray
Names Default To Here( 1 ); New Window( "Mountains", tb = Table Box( String Col Box( "Mountain", {"K2", "Delphi", "Kilimanjaro", "Grand Teton"} ), Number Col Box( "Elevation (meters)", {8611, 681, 5895, 4199} ) ) );Jackie_
907 views | 3 replies -
the new Where?
Hi, how can I use the new Where function with lists of lists or matrices?
xs = {10, 20, 30, 50}; Where( Print(xs); xs ==10 ); xs = {[10 20], [30 50]}; Where( Print(xs); xs ==[10 20] );hogi
861 views | 4 replies -
Searching Maximum value of each row across several column and name of source column
Hi, I'm trying to come up with a jsl script which can find max value of each row and the column name corresponding to the max value. I was able to find the max value across all the columns but need some advice to find the column name corresponding to the max value Here's the code:
Names Default To Here( 1 ); dt = Current Data Table(); dt << Select Columns( 2 :: 14 ); col = dt << Get Selected Colum...3311 views | 6 replies -
Optimization with factor constraints
So I want to perform an optimization but I want to include constraints of the factor combinations possible, from which the optimum should be found. So I want T1, T2, T3 as well as D1, D2, D3 to be varied at the same time. So all factors containing T should have the same level and all factors containing D should have the same level at the end of the optimization. So in a sense, the respective facto...
PoissonGopher92
853 views | 2 replies
Latest Discussions
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the new Where?
Hi, how can I use the new Where function with lists of lists or matrices?
xs = {10, 20, 30, 50}; Where( Print(xs); xs ==10 ); xs = {[10 20], [30 50]}; Where( Print(xs); xs ==[10 20] );861 views | 4 replies -
JSL MouseBox doesn't save to Journal JMP 17 vs JMP 16
Hello, I am using a scrip that saves a report in a journal and have noticed a change between JMP 16 and JMP 17 that breaks some of its functionality. If I save a window to the journal in JMP 16, the MouseBox interactions work just like they did in the JMP window, but in JMP 17 I've found that MouseBox doesn't save to the journal at all. Is this an intended change? Any ideas on possible workaroun...
CitizenNo3
1170 views | 4 replies -
How can I achieve automated analysis through scripting languages
I have been getting started with scripting languages recently, and I want to use editing languages to automate the equivalence testing of reduced models. However, after the equivariance test, it is unclear how to use script language editing to enable the software to select equivariance or unequal variance equivalence tests based on Levene results .
LikelihoodFawn8
542 views | 1 replies -
Randomized Complete Block Design (RCBD).
In a Randomized Complete Block Design (RCBD).¿What should I do if the assumption of no interaction between the interest factor and the block is not met?
CrhistianDoE
772 views | 1 replies -
Questions about Calculating Confidence Intervals in "Agreement within Raters" - Attributive Analyses
Hello everyone, I am currently analyzing "Agreement within Raters" and would like to better understand how these confidence intervals are calculated. My main questions are:What steps or methods are used to calculate confidence intervals in "Agreement within Raters" of Attributive analyses?Which statistical distribution is typically used for these calculations? Could anyone recommend some literatur...
DToniato
516 views | 0 replies
Latest Discussions
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Questions about Calculating Confidence Intervals in "Agreement within Raters" - Attributive Analyses
Hello everyone, I am currently analyzing "Agreement within Raters" and would like to better understand how these confidence intervals are calculated. My main questions are:What steps or methods are used to calculate confidence intervals in "Agreement within Raters" of Attributive analyses?Which statistical distribution is typically used for these calculations? Could anyone recommend some literatur...
516 views | 0 replies -
Creating a biomarker combination variable
Hi. I want to analyze how well two biomarkers work together in the detection of diseased from healthy and compare the combination to the single markers. I have previously done such analysis in SPSS using binary logistic regression and then simply running ROC-analysis for single markers and combination. With JMP I cannot find how to combine two biomarkers using a logistic regression analysis. Could...
kahuhti
484 views | 0 replies -
Q-K mixed model using plink files
Hello,Please I need help to run Q-K mixed model analysis. I have flat and binary plink files. I tried to generate a .sas7bdat file with letters in genotypes. I tried to run a kinship matrix but it didn't look good (a lot of empty boxes/ In genotype columns, non empty boxes have 1/1 as a value). When I try to run any analysis, I got errors. I recoded genotypes in my raw files to 0, 1 and 2 but stil...
Imane-Morjane
379 views | 0 replies -
Tracking down a cycle error
When I open a data table, I get a cycle detected error that I have to ignore every time. I can't seem to figure out what is causing the error although it apparently has something to do with the table variable in my column formula. Here is the formula: and here is the log entry showing the issue Can anyone help me understand what is going on here? The data table actually works fine after I click ...
scott1588
604 views | 0 replies -
replicate factor analysis in R
Hi experts,
I'm trying to replicate the results, obtained in a factor analyses using JMP Pro17, in R.I have an almost perfect matching between the unrotated factor loading obrained in JMP and R, but the rotated factor loading seem to diverge substantially, despite maintaing the same settings (factoring method, prior communality, number of factors, and rotation method - weight 1).
Am I missing someth...NeuroScholar202
412 views | 0 replies
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