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by Staff LauraCS
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Figure 1. Spaghetti plot of two-occasion data and summary of results from previous post.
Figure 2. Simulated data after manipulation into long format.
Figure 3. Results from unconditional LME model with covariance of random effects of intercept and time.
Figure 4. Results from unconditional LME model excluding covariance of random effects of intercept and time.
Figure 5. Spaghetti plot of individual customer satisfaction trajectories with grand mean trajectory superimposed.
Figure 6. Conditional LME model of customer satisfaction over time and the grouping predictor.
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Figure 1. Correlation coefficients and corresponding heat map for four simulated variables.
Figure 2. Component and factor loadings from a principal components analysis and exploratory factor analysis on four simulated variables that are uncorrelated.
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 Heat map of reduced correlation matrix, where unities in the diagonal have been replaced by squared multiple correlations.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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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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Added ‎08-22-2017 04:21 PM
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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.
Posted in: The new look of Text Explorer - ( ‎08-25-2017 10:10 AM )

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