Zero on log scale y-axis?
I applied overlay plot in JMP. My data ranges from 0 to 15990. I tried to plot my y-axis in log scale (not log-transform my data). Is there any way to set the minimum value of y-axis as zero? Thank you.
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view all learning resourcesI applied overlay plot in JMP. My data ranges from 0 to 15990. I tried to plot my y-axis in log scale (not log-transform my data). Is there any way to set the minimum value of y-axis as zero? Thank you.
Hi all,I am having some trouble with my scatter plot on Graph builder. I am looking at a variable evolving with time, with several times on different days. I study that variable for three different treatments applied. I am just at the step where I want an overview of my data, so I'm looking essentially at the trends. In one treatment there are different individuals (identified with different color...
Is there a quick way to move to the bottom of an extremely large data table without scrolling for several minutes or sliding the bar at the right edge of the screen?Thanks!
HI New user to JMP here. I have a question regarding how to average multiple scatteprlots and plot the resultant average and make a table out of the data. For exampleI have 3 scatterplots all ranging 15000-35000 (integer value only) in X and the response for of three different machines in Y. I would like to take the average response for each discrete point and plot that and also save the result...
I need to randomize a list. randomizeList = Function({List}, {Default Local}, //Code goes here return List;);list = {1,2,3,4,5};randomList = randomizeList(list);print(randomList); //Expected output something like {2,4,5,1,3}There are lots of ways to do this and no wrong answer. I appreciate any feedback, thanks!
Graph Builder works succussfully with the Data Filter adjusteing the plotted points properly when the Data Filter slider is moved. Also, the values of the statistics using the Caption Box adjust with the Data Filter slider as expected. So far, so good. Then I wanted to plot the mean of a column using 'Customize' and 'Y Function'. The following is the extracted script:Add Graphics Script( 3, Desc...
I have a point cloud created in the JMP Scatterplot 3D platform.Two question: I want to drive the rotation using JSL so that it only rotates around the Z axis.How do I do that?I want to save the result as an video.How do I do that?Thanks, Al Bestfounder of the JMP training curriculum
Does disabling the table undo command in JMP 12 result in more useable RAM?
I'm currently running a simple script to output contour plots from my data table. Is there a way of including the colour scheme I was to use and the fill area command as part of this script, as currently I'm having to do it for each plot individually/manually.cheers!
The Red Triangles in JMP reveal contextual drop down menus that show relevant commands. JMP features contextual menus accessed via small red triangles throughout the software. Some JMP users call them hot spots, inverted red triangles, or just triangles.Feel free to Comment below on what you call them.
Narration: When selected, the red triangles reveal contextual drop down menus allow us to cus...
Hi!I was wondering if anyone already tried to work with Co-Kriging, using JMP together with Matlab. As JMP only fits Ordinary Kriging Models (Gaussian Process with Gaussian Correlation Function), I would like to send data (generated with Space Filling JMP Platform) from JMP to Matlab, fit the models there (Matlab), and bring the MODELS back to JMP, to use inside Profile Platform. Do you have any e...
I'm trying to interpret the relative contributions of my variables in a discriminant function analysis of chemical data for three groups of rocks. In a stepwise, linear, common covariance discriminant function analysis I'm able to generate non-overlapping 95% confidence ellipses for my three groups with no incorrectly assigned data points using 6 variables. My understanding is that the scoring c...
A former classmate of mine from Graduate School has recently published a paper on Generalized Segmented Distributions. Utilizing this method, the distribution can approach any continuous density function of arbitrary form. The method is particularly effective in fitting data with sufficient observations that are skewed and/or multimodal. The paper can be found here:The General Segmented Distrib...
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