Dimension Reduction - Diagnostic - Scree Plot

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

1. Add the object by selecting from the menu Anything > Advanced Analysis > Dimension Reduction > Diagnostic > Scree PlotCreate > Dimension Reduction > Diagnostic > Scree Plot
2. Under Inputs select your PCA or factor analysis output

Within your PCA output created by Dimension Reduction - Principal Components Analysis

1. 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

▶ Show Code

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"});

▶ Show Code

library(flipDimensionReduction)
scree.plot <- ScreePlot(QInputs(inputItem))

See also

• Dimension Reduction - Diagnostic - Component Plot
• Dimension Reduction - Diagnostic - Goodness of Fit Plot
• Dimension Reduction - Principal Components Analysis