p value adding
Good morning, I was wondering how I can add the p value on my graph automatically. Can anybody help me ? Thanks
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view all learning resourcesGood morning, I was wondering how I can add the p value on my graph automatically. Can anybody help me ? Thanks
Hello, JMP developers, I'm using JMP15.2.1 version. As below smooth fitting results(same datasets) in JMP when using the One Way Analysis (Fit Y by X) platform vs. Graph Builder, by setting the same lambda=100, the smoothness of the curve is totally different. (Fits are the same even if the lambda values differ by approximately 20x) Is there a reason for such difference?
Howdy,
On JMP Pro 17.2.0, I am using << Add Ref Line commands in a For loop and would like the first 3 ref line labels to display on the opposite axis. I have tried notations such as,
rpVarPlots1[i][AxisBox( 1 )] << Add Ref line( rUCL[i], "Solid", "Purple", "UCL=" || Char( rUCL[i] ), 1, Label Position("Opposite) );
rpVarPlots1[i][AxisBox( 1 )] << Add Ref line( rUCL[i], "Solid", "Purple", "UC...
Can JMP data table be updated from same excel file with new input only
Hi everyone, I'm Ajay Hinduja, a passionate traveler based in Geneva, Switzerland. Alongside my love for exploring new destinations, I’m also deeply interested in staying up to date with the latest technology and data analysis tools—especially those that help make sense of real-world patterns in travel behavior. I’m currently working with a dataset related to traveler preferences and behaviors, an...
Good morning, I was wondering how I can add the p value on my graph automatically. Can anybody help me ? Thanks
Hello, JMP developers, I'm using JMP15.2.1 version. As below smooth fitting results(same datasets) in JMP when using the One Way Analysis (Fit Y by X) platform vs. Graph Builder, by setting the same lambda=100, the smoothness of the curve is totally different. (Fits are the same even if the lambda values differ by approximately 20x) Is there a reason for such difference?
Can JMP data table be updated from same excel file with new input only
Hi everyone, I'm Ajay Hinduja, a passionate traveler based in Geneva, Switzerland. Alongside my love for exploring new destinations, I’m also deeply interested in staying up to date with the latest technology and data analysis tools—especially those that help make sense of real-world patterns in travel behavior. I’m currently working with a dataset related to traveler preferences and behaviors, an...
I would do like to do something similar to this in JMP. is it possible to do it in the graph builder?
Hello, I am doing a 4-way, full factorial ANOVA with one repeated measures factor (time, 3 samplings) and three between-subject factors (species, color, and irrigation; 2 levels of each) using the Mixed Model personality in JMP Pro 18.1.0. I'm using the AR(1) repeated covariance structure, as it provides the best fit based on AICc values. The analysis indicates I have no significant 4- or 3-way in...
My interest is in identifying the strongest predictors of annual per capita growth rate for three groups of bird species: residents, short-distance migrants and long-distance migrants. My model has per capita growth rate as the dependent variable, and as predictors bird density during the breeding season, and 13 environmental predictors (various measures of climate, food abundance and nest predat...
I am interested in applying the minimum p-value approach using the p-values obtained from the log-rank test. However, I am uncertain about the specific steps involved. Could you kindly advise me on how to proceed? I am currently using the following version: JMP® Student Edition 18.2.0, running on Microsoft Windows 11 Home.
Fellow JMP enthusiasts! During the 2024 Manchester Discovery Summit I was surprised to learn that the handing out and signing of books is a tradition. So, I am wondering whether there is a list of the books handed out & signed so far. If it exists, where to find it?I thoroughly enjoyed reading "Bitch" by Lucy Cooke, and I have a feeling "Hello World" by Hannah Frey will be a good read too.
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