The default output of a Principal Component Analysis is a table showing the attributes and their scores going into each component. However, it may be more intuitive for some review or illustrate the results on a scatter plot. This article describes how to go from a Principal Component Analysis:

to a Component Plot based on scores from the first two components from the Principal Component Analysis:

## Requirements

- A Principal Component Analysis (PCA) created in Displayr, see How to Do Principal Component Analysis in Displayr.

## Method

1. From the **object inspector** on the PCA output, click **PLOT > Component Plot**.

Otherwise, if using an older PCA output without that option available.

1. Click **Anything > Advanced Analysis > Dimension Reduction > Diagnostic > Component Plot**.

2. From the **object inspector** on the right, select your PCA output from the **Principal components analysis** drop-down box.

3. Click the **Calculate** button.

## Next

How to Create a Principal Component Analysis Biplot

How to Create a Scree Plot from a Principal Component Analysis

How to Create a Dimension Reduction Scatterplot

How to Create a Goodness of Fit Plot from a Dimension Reduction Output

How to Save Components/Dimensions from a Dimension Reduction Output

How to Do Multidimensional Scaling

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