Dimension Reduction - Diagnostic - Scree Plot
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Chart the eigenvalues from a factor analysis or principal components analysis (created, for example, using Dimension Reduction - Principal Components Analysis).
How to Create
As a separate output in your report
- Add the object by selecting from the menu Create > Dimension Reduction > Diagnostic > Scree Plot
- Under Inputs select your PCA or factor analysis output
Within your PCA output created by Dimension Reduction - Principal Components Analysis
- Change the Inputs > Display drop-down to Scree Plot
Example
Example output:
Options
Principal components analysis An R Output containing a factor analysis or principal components analysis. This does not need to be created with Dimension Reduction - Principal Components Analysis (you can make your own factor analysis or PCA), but the item does need to have a property called values.
Code
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// webpack/runtime/rspack_unique_id
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var heading_text = "Scree Plot";
if (!!form.setObjectInspectorTitle)
form.setObjectInspectorTitle(heading_text);
else
form.setHeading(heading_text);
form.dropBox({ name: "inputItem", label: "Principal components analysis", types: ["R:flipFactorAnalysis,principal,princomp,fa"],
prompt: "Output of PCA" });
library(flipDimensionReduction)
scree.plot <- ScreePlot(QInputs(inputItem))