Missing values after PCA
What are the missing values (black dots) after you perform a PCA?
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Hi All, I'm hoping someone from JMP might be able to provide an explanation as the the differences/similarities of the Simulate vs Bootstrap approaches when evaluating model estimates. (JMP Pro) Some links to previous Discovery Summit presentations from Gotwalt and others can be found here, here, and here. One clear difference between the methods is that Simulate requires you to swap out a col...
Hello! I was wondering how you can build a mediation analysis with survival data in JMP Pro 18. I am attempting to use SEM to test if my X (continuous) variable mediates the relationship between Treatment (binary) and abstience duration since post-treatment (survival variable). Thank you in advance.
Hello! I want to identify potential covariates that may influence my survival data (continuous abstinence). Most of my potential covariates are continuous variables. I am unsure how to run this analysis with continuous variables instead of grouping variables. Any suggestions or tips would be helpful! Thank you!
Hello everyone, I’m learning regression and have some questions about variability. Suppose I want to study the impact of a factor X on a process response Y. The regression results suggest that moving from condition level A to B of X changes Y by about 10%. However, I also know that the process itself has variability — for example, even at the same condition level of X, Y might fluctuate by around ...
Hi All, I'm hoping someone from JMP might be able to provide an explanation as the the differences/similarities of the Simulate vs Bootstrap approaches when evaluating model estimates. (JMP Pro) Some links to previous Discovery Summit presentations from Gotwalt and others can be found here, here, and here. One clear difference between the methods is that Simulate requires you to swap out a col...
Hello! I was wondering how you can build a mediation analysis with survival data in JMP Pro 18. I am attempting to use SEM to test if my X (continuous) variable mediates the relationship between Treatment (binary) and abstience duration since post-treatment (survival variable). Thank you in advance.
Hello! I want to identify potential covariates that may influence my survival data (continuous abstinence). Most of my potential covariates are continuous variables. I am unsure how to run this analysis with continuous variables instead of grouping variables. Any suggestions or tips would be helpful! Thank you!
Hello everyone, I’m learning regression and have some questions about variability. Suppose I want to study the impact of a factor X on a process response Y. The regression results suggest that moving from condition level A to B of X changes Y by about 10%. However, I also know that the process itself has variability — for example, even at the same condition level of X, Y might fluctuate by around ...
I have data with very clear peaks as in the image below. However, if I try and use the 'automatic peak finding' It identifies the right number of peaks, but they're all the same with start / stop as the beginning and end of the data for every peak. (second picture) What am I doing wrong?
Hi all! I've run a PLS-DA test for a data set that consists of FTIR spectral data of 5 different systems under 5 different treatments. I've used the fit model platform so that I could handle categorical variables in my Y variables. According to PRESS statistics, this model has an optimum number of factors of 7 and possesses good discriminating power between my samples. Then, I noticed that the st...
Hello, I am running a PCA on an NMR dataset that contains some missing values. This isn't due to an error—it's simply the nature of the data, as some samples do not show certain peaks. I have noticed that when I include these parameters Y variables in the PCA and color the score plot by sample, some samples are missing entirely from the plot. It's not consistent—some samples with missing values...
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...
Hi everyone,for my proc mixed I already got a table with Least-Squares Means, ods output "lsmeans".Additionally, I would like to have a table for the differences, ods output “DIFFS”.Can anyone tell me how to get to this output in the current jmp version (18.1.0)?Thanks in advance for your support.
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