Tag: Add-Ins

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JMP add-in summarizes sample data (or your data)

Sometimes when you hear about a new feature in JMP, you want to try it out. You may not have the right kind of data on hand, or you may just want to see a canned example. The JMP sample data is a rich resource full of these good examples.

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Creating a Gantt chart using JMP

A useful way for project managers to visualize a project's work breakdown structure is to create a Gantt chart. The Gantt chart is essentially an illustration of the work schedule that a project plans to follow, showing when each element of the project will start and complete. This is a commonly

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An add-in to combine map shapes

With JMP, you can easily show data geographically with maps. However, you can only show your data if the regions you want to show exactly match up with the regions JMP has in its installed maps, or any maps you might have. This makes showing data by larger divisions, like

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JMP add-in for statistical dot plots

JMP has a rather straightforward distribution analysis using histograms accompanied with various statistics such as mean, standard deviation and the quantiles. But if you care about gaps in your data, whether small or large, histograms might not be your best bet. Another basic statistical tool, the dot plot, can reveal

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Is your data too precise?

There is usually a desire to have the most precise measurement of any measurement. In theory, that is good, but for the purposes of data analysis, more precision isn't always better.   It is usually best to examine any continuous variable and determine a reasonable precision for the recorded values.

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PCA and illustrative variables add-in for JMP

Principal Component Analysis (PCA) is a traditional method in data analysis and, more specifically, in multivariate analysis. PCA was developed by Karl Pearson in 1901. The goal of PCA is to reduce the dimensionality in a set of correlated variables into a smaller set of uncorrelated variables that explain the majority

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JMP content & information sharing in organizations

Companies of all sizes use JMP every day to make their products and processes better. As the number of JMP users at an organization grows, sharing information about JMP and discoveries made with JMP becomes more important. Let's tackle these two issues separately. Sharing information about JMP At a recent

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Here's how to share your JMP Preferences

Have you ever been in this situation? You’re teaching a class using JMP, and you’d like all of your students to have the same Preferences. For example, you’d like everyone to have large markers and horizontal histograms. Or, perhaps you’d like certain statistics or graphical features to display each time you run an

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Marginal Model Plot Add-in for JMP

If you attended this year’s Discovery conference, you may recall Dr. Sheather’s enlightening presentation on marginal model plots. Now, you can easily create marginal model plots in JMP with the Marginal Model Plot Add-in. Marginal model plots are a great addition to your model assessment toolbox — particularly in cases

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Extended Summary Statistics Add-in for JMP

The Summary platform in JMP offers an easy way to report many statistics, over multiple “By” groups, in data table format. The Distribution platform offers up an even greater variety of statistics, and we have had some customers ask for an easy way to get a Summary-style report of these.

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