Sift - Analyse Page: Difference between revisions
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There are 2 main widgets within the Analyse page: the PCA widget and the SPM widget. Both of these pages allow you to do different analysis on your data: PCA is used to decompose your data into a lower-dimensional version of your data, and extract meaning about how to variance occurs within the data, while SPM is used to apply statistical tests across the entirety of your data, instead of relying on their application on summary statistics. | There are 2 main widgets within the Analyse page: the PCA widget and the SPM widget. Both of these pages allow you to do different analysis on your data: PCA is used to decompose your data into a lower-dimensional version of your data, and extract meaning about how to variance occurs within the data, while SPM is used to apply statistical tests across the entirety of your data, instead of relying on their application on summary statistics. | ||
Both of these analytical tools can be launched from the top toolbar, which opens the [[File:sift_run_pca.png|30px]][[Sift - Run PCA Dialog|PCA Dialog]] and [[File:sift_run_spm.png|30px]][[Sift - Create GLM Dialog|GLM Dialog]]. | |||
[[file:AnalysePage.png]] | [[file:AnalysePage.png]] | ||
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== Principal Component Analysis == | == Principal Component Analysis == | ||
The PCA page consists of 6 sub-pages related to PCA: '''Variance Explained, Loading Vector, Workspace Scores, Group Scores, Extreme Plot and PC Reconstruction''' | The PCA page consists of 6 sub-pages related to PCA: '''Variance Explained, Loading Vector, Workspace Scores, Group Scores, Extreme Plot and PC Reconstruction''', which are located on the bottom of the page. Each of these pages provides unique analysis into a section of PCA. Each of these sub-pages can be dragged to reorder or popped-out into its own standalone window by clicking on the double window icon at the top right of the PCA Graph window. Many aspects of each display are customizable, with the user able to specify line styles, colours, and axis labels among other display features. | ||
=== Variance Explained === | |||
[[file:Sift_VarianceExplained.png]] | |||
=== Loading Vector === | |||
[[file:Sift_LoadingVector.png]] | |||
=== Workspace Scores === | |||
[[file:Sift_WorkspaceScores.png]] | |||
=== Group Scores === | |||
[[file:Sift_GroupScores.png]] | |||
=== Extreme Plot === | |||
[[file:Sift_ExtremePlot.png]] | |||
=== PC Reconstruction === | |||
[[file:Sift_PCReconstruction.png]] | |||
== Statistical Parametric Mapping == | == Statistical Parametric Mapping == |
Revision as of 15:44, 19 March 2024
Language: | English • français • italiano • português • español |
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Sift's Analyse page is the go to section to create meaningful analysis on your data. This page holds a group and workspace widget, the same as which is in the Explore Page.
There are 2 main widgets within the Analyse page: the PCA widget and the SPM widget. Both of these pages allow you to do different analysis on your data: PCA is used to decompose your data into a lower-dimensional version of your data, and extract meaning about how to variance occurs within the data, while SPM is used to apply statistical tests across the entirety of your data, instead of relying on their application on summary statistics.
Both of these analytical tools can be launched from the top toolbar, which opens the PCA Dialog and
GLM Dialog.
Principal Component Analysis
The PCA page consists of 6 sub-pages related to PCA: Variance Explained, Loading Vector, Workspace Scores, Group Scores, Extreme Plot and PC Reconstruction, which are located on the bottom of the page. Each of these pages provides unique analysis into a section of PCA. Each of these sub-pages can be dragged to reorder or popped-out into its own standalone window by clicking on the double window icon at the top right of the PCA Graph window. Many aspects of each display are customizable, with the user able to specify line styles, colours, and axis labels among other display features.
Variance Explained
Loading Vector
Workspace Scores
Group Scores
Extreme Plot
PC Reconstruction