PCA Explained Variance Calculator

Calculate principal component analysis explained variance ratios, cumulative explained variance, and optimal number of components to retain (Kaiser criterion, scree plot elbow).

Data set — comma or newline separated
Statistical Results — n = 8
Count (n)8
Sum (Σx)40
Min2
Max9
Range7
Q14
Q35.5
IQR1.5
Mean (μ)5
Median4.5
Mode4
Pop. Variance (σ²)4
Pop. Std Dev (σ)2
Sample Variance (s²)4.571428571
Sample Std Dev (s)2.138089935
Skewness0.65625
Excess Kurtosis-0.21875
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How to Use

Enter the values for the patient or scenario you are assessing. Calculate principal component analysis explained variance ratios, cumulative explained variance, and optimal number of components to retain (Kaiser criterion, scree plot elbow). Use the pca variance result to inform your clinical assessment.

Frequently Asked Questions