Chi square P values
Using the fit X by Y analysis of categorical variables can I get the actual p value instead of just <0.0001?
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view all learning resourcesUsing 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 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+$", "\1"))
I can iterate through each row to make sure that all of them match, but maybe there is a better way?
How do you change the reference group in a categorical variable in JMP for a regression analysis? Thank you
Dear Experts, I am aware that one can reset the zoom applied by the magnifier (on graph builder) by double clicking or keeping Alt-key pressed (having the magnifier enabled). However, this functionality does not work if any changes to graph is done by using local data filter when being zoomed in state. Zoom in and zoom out (Ctrl key pressed) still works but I would like to have "zoom reset" back t...
I assigned a color to 1000 samples of soil from 3 different location. Now I need to compare the color at 3 locations to see if there is statistically different or not? The only data I have is the count of each color and from which location, my research question is that if the location affects on the color?for examplegray color: 80 at site1 - 50 site2 - 75 site3Brown color: 12 at site1 - 5 site2 - ...
Is there a better way rather than iteration of all the rows to validate values in column? Let's say before making something with the column I want to make sure that all values in column match specific Regex. Like so:!IsMissing(Regex(Column(myColumn)[1], "^\w+(\d{3})\w+$", "\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("$SAMPLE_DATA\Fitness 3D.jmp");
sm =
...
Hi AllI'm relatively new to JMP and navigating my way with great help from JMP tutorials etcive being tasked to apply alert limits to various defects within our department.so i have variable data across 30 or more batches i used Laney P to generate the graph and I tabulate the mean of my UCL and this is the value that I apply as my alert limit for a specific defect type. then after a year these va...
HI, How to find estimators of FGNLS and NLS (Seemingly Unrelated Regressions) Using JmpPro.# Note that it is present in SAS in the proc syslin
and it is in stat in the nlsur command Regards
Is there a better way rather than iteration of all the rows to validate values in column? Let's say before making something with the column I want to make sure that all values in column match specific Regex. Like so:!IsMissing(Regex(Column(myColumn)[1], "^\w+(\d{3})\w+$", "\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
...
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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