Vector Plot
Greetings!Does anybody can share with me how to do a vector plot in JMP?
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view all learning resourcesGreetings!Does anybody can share with me how to do a vector plot in JMP?
Hello, I'm analyzing metabolomics data on a regular basis. My data tables typically consist of hundreds of variables (i.e., analyte signal intensities, in columns). The rows contain the observations which belong to different groups, for example fresh vs. stored. One frequent task is to create an array of boxplots, let's say 16 bopxlots in a 4 by 4 fashion, with the y axes being scaled individually...
How i can change the size (width) of the box plot in graph builder? they are so thin. i do not want stretch the graph unnecesarily. there seems to be quit of space between each box .ThanksRam
I have a numeric column called Rejects which is set to be nominal. Most of the values are zero but there are also a range of values from 1 to N (N being variable depending on the dataset). I use these to plot a map of reject locations with the number of rejects indicated by colour. I would like take advantage of the JMP built-in chromatic colour themes but with any value of 0 shown in light grey (...
I ran an analysis in JMP, took the create SAS Code from the model dialog and input into SAS and ran. However, the analysis spits out different results that what JMP spit out, again same code tyring with PROC GLM and PROC MIXED. I tried different solution DDFM to see if that was the issue with no luck. Wondering if anyone has any recommendations as some of my interactions are no longer significant ...
Hello, I'm analyzing metabolomics data on a regular basis. My data tables typically consist of hundreds of variables (i.e., analyte signal intensities, in columns). The rows contain the observations which belong to different groups, for example fresh vs. stored. One frequent task is to create an array of boxplots, let's say 16 bopxlots in a 4 by 4 fashion, with the y axes being scaled individually...
I ran an analysis in JMP, took the create SAS Code from the model dialog and input into SAS and ran. However, the analysis spits out different results that what JMP spit out, again same code tyring with PROC GLM and PROC MIXED. I tried different solution DDFM to see if that was the issue with no luck. Wondering if anyone has any recommendations as some of my interactions are no longer significant ...
I had crossover design data from one of my experiment, and I want to analyze it according to the rules of crossover design. Can someone please help me with this?
Hi, is it possible to calculate the power of a bio study design using JMP?
Hi Everyone, I am looking for the add in used to create figure 6.4.7 in the following book - https://books.google.ca/books?id=YjBiDwAAQBAJ&pg=PT182&lpg=PT182&dq=JMP+Turf+add+in&source=bl&ots=HfEwvAVAEp&sig=ACfU3U1f7NEQkjFCzgSWPEa-5t3pgTpQsA&hl=en&sa=X&ved=2ahUKEwiq6dz8qLTiAhXmYd8KHQ9oAKQQ6AEwE3oECAoQAQ#v=onepage&q=JMP%20Turf%20add%20in&f=falseAt the end of the chapter the author mentioned that “F...
I had crossover design data from one of my experiment, and I want to analyze it according to the rules of crossover design. Can someone please help me with this?
Dear JMPers, (computer details: I have JMP Pro 14 on a W7 Enterprise, 64-bit computer.) I am trying to better understand how JMP actually calculates a Lift curve. I understand conceptually the ROC and Lift curves, but I'm having a hard time calculating a Lift curve myself. The JMP help/support page (https://www.jmp.com/support/help/14-2/lift-curve.shtml#1276958) isn't all that helpful in under...
How to analyze PSM data(Propensity Score Matching) in JMP?If it is yes, please tell me what detail steps in JMP manu,If there is any available examples in JMP sample data?
Okay, so i have to decide whether i should use chi-square or Cochran's Q test for one of my study.If i assume meat as experimental unit (EU) and impose 6 different wood smoke (like apple smoke, cedar smoke, hickory smoke etc.) on EU and consumers (people) act as observational unit (OU). I have 10 consumers and each one will taste each treatment (6 treatments) and respond liking (9 point scale), an...
One way to select possible number of clusters in hierarchical methods is to identify the relatively large changes in distance as number of clusters change (see table below). When I look at the actual distance measure from the table (clustering history below dendogram), there is a bigger jump from 3 clusters to 4 than from 4 to 5 (smaller), suggesting 4 may be the right decision. However, when you ...
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