Bivariate plot spline un-selected faded
Is there a way to make all un-selected splines faded? in a bivariate plot!The default is same as pre-selection.Thanks
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view all learning resourcesIs there a way to make all un-selected splines faded? in a bivariate plot!The default is same as pre-selection.Thanks
I am trying to apply a Data Filter using the JSL code below. It is selecting the called for rows but the Show and Include boxes are not checked in the Data Filter window, see below. What am I missing? After this filter I plan to run a CDF plot through the Fit Y by X portal then clear the Data Filter and reapply new Data Filter settings and run a different CDF plot. Thank you.
//Select Parms to P
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Hi, I have encountered this problem when I run a old script on JMP 15. Anyone can help me to solve this problem? Thank you in advance!
Using the fit X by Y analysis of categorical variables can I get the actual p value instead of just <0.0001?
I assigned a color to 1000 samples of soil from 3 different location. Now I need to compare the color at 3 locations to see if there is statistically different or not? The only data I have is the count of each color and from which location, my research question is that if the location affects on the color?for examplegray color: 80 at site1 - 50 site2 - 75 site3Brown color: 12 at site1 - 5 site2 - ...
Is there a way to make all un-selected splines faded? in a bivariate plot!The default is same as pre-selection.Thanks
Hi, I have encountered this problem when I run a old script on JMP 15. Anyone can help me to solve this problem? Thank you in advance!
I assigned a color to 1000 samples of soil from 3 different location. Now I need to compare the color at 3 locations to see if there is statistically different or not? The only data I have is the count of each color and from which location, my research question is that if the location affects on the color?for examplegray color: 80 at site1 - 50 site2 - 75 site3Brown color: 12 at site1 - 5 site2 - ...
Is there a better way rather than iteration of all the rows to validate values in column? Let's say before making something with the column I want to make sure that all values in column match specific Regex. Like so:!IsMissing(Regex(Column(myColumn)[1], "^\w+(\d{3})\w+$", "\1"))
I can iterate through each row to make sure that all of them match, but maybe there is a better way?
Given a list of values I want to write these to the limits of a local data filter. Here is a (almost) working example (remove data filter and re-add based on building the data filter expression dynamically) but it feels to complicated, is this the best way to do it? (It has to work dynamically for other tables with different number of columns as well) dt = Open("$SAMPLE_DATA\Fitness 3D.jmp");
sm =
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Is there a better way rather than iteration of all the rows to validate values in column? Let's say before making something with the column I want to make sure that all values in column match specific Regex. Like so:!IsMissing(Regex(Column(myColumn)[1], "^\w+(\d{3})\w+$", "\1"))
I can iterate through each row to make sure that all of them match, but maybe there is a better way?
HI, How to find estimators of FGNLS and NLS (Seemingly Unrelated Regressions) Using JmpPro.# Note that it is present in SAS in the proc syslin
and it is in stat in the nlsur command Regards
Hello, I am trying to do a matched sample analysis across three different factors. I wanted to:1. Confirm that my sample would be what I pick for 'Block" when I do Fit Y by X when running Friedman's test2. Is there a post hoc analysis in JMP that I can use? I dont see Nemenyi or Conover as an optionThanks for your time.
Hello everyone,I am trying to make a table with the OOT (out of Trend) batches with their respective "atypical" values.I used for that the "script alarm" function as I could found some exemples on the JMP community. Here is my script: z_KSigmaZ =1.4;
// Création de la Carte de controle si N catégories > 5
Names Default To Here( 1 );
If(N Items(Associative Array(:"RNS/NS tordu (srg)")) > 5,
Gr
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I'm using JMP 16.2.0 and I'm trying to automatically generate a graph builder with box plots and their mean values with the group X variable as the color. I'm using a bar chart with style=floating to display the mean value (inspired by this topic)My current graph:This is almost what I want, except for a few things.1. I'd like the Group X variable (Recipe) to be visible in the legend as well. One w...
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