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by Staff LauraCS
Figure 3. Heat map of reduced correlation matrix, where unities in the diagonal have been replaced by squared multiple correlations.
Figure 4. Graphic comparison of principal components analysis and exploratory factor analysis.
Figure 1. The new look of Latent Semantic Analysis and Topic Analysis, with more intuitive labels and values.
Figure 2. Side-by-side comparison of Topic Analysis and Rotated Principal Components Analysis, which can be accessed through the "Factor Analysis" option in the Principal Components platform.
Figure 3. The Rosetta stone of Text Explorer, Principal Components, and Factor Analysis platforms. Keywords in each panel are equivalent to those in the same row of other panels. *Not available in the platform as these aren’t normally used.
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Figure 1. Depiction of steps involved in Principal Components Analysis.
Figure 2. Sample Document Term Matrix (DTM) of three documents.
Figure 3. Text Explorer launch window (left) and initial report from launching Text Explorer (right).
Figure 4. Select topics from Topic Analysis (TA) performed on a data table of 231,657 jokes.
The Multivariate Flavors of JMP
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Added ‎07-29-2022 09:24 AM
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Posted in: Re: Interactions in OLS regression and simple slopes. - ( ‎07-29-2022 09:27 AM )

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