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RAISINS-PCA Module


Discover R A I S I N S (R & AI Solutions in INferential Statistics) - your dedicated platform for performing Principal Component Analysis (PCA) with ease and confidence! Simply upload your data to generate clean, well-organized tables that highlight key patterns in your variables. Explore advanced yet intuitive plots, visualize relationships through biplots and contribution charts, and unlock deeper insights with interactive PCA summaries and index scores. Transform multivariate data into clear, meaningful interpretations instantly - all in one smooth, user-friendly interface!


Hey! Before proceeding, you can freely explore the app using our built-in datasets. You will love it!.


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Need any assistance or statistical support? Our team will be happy to arrange a free online meeting to guide you through the app and clarify your questions. RAISINS is designed to be simple-just upload your data and click Run.


Principal Component Analysis



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Developed by
Team RAISINS, STATOBERRY LLP
Author: Chief Statistician
© All rights reserved to STATOBERRY LLP



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Download Scree Plot













Click the settings icon ( ⚙ ) in the top-left corner of the plot to explore the extensive customization options and personalize your visualization experience.


Biplot
Simple Biplot
Correlation Circle
3D Scatter
Correlation Plot

PCA Biplot


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Download Biplot

PCA Simple Biplot


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Download Simple Biplot

Correlation Circle


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Download Correlation Circle

3D PCA Scatter Plot


Download 3D Plot

Correlation Plot (Variables vs PCs)


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Download Correlation Plot










Download Index Plot 1




Download Index Plot 2



Hierarchical Clustering on Principal Components (HCPC) combines the strength of PCA for dimensionality reduction with hierarchical clustering to form robust and interpretable clusters. PCA transforms correlated traits into independent components capturing most variability, and clustering is performed on these principal components to obtain clearer groups. This HCPC section is built on top of your PCA results.

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Please complete PCA analysis first



Significance levels:
  *** p < 0.001     ** p < 0.01     * p < 0.05


Correlation Plot (Variables Only)


Download Variables Correlation Plot

Yes boss I'm reading your PCA results, it will take few minutes, please wait...











RA-One


CSV Data File Creator for PCA Analysis






This tool generates clean CSV files for PCA Analysis.

Label = Treatment / Genotype / Sample / ID / Entry You can rename each label individually (e.g., G1, P1, SampleA, Plot5).

Copy and paste numeric values under Var1, Var2, etc. using Ctrl+V.

After entering data, click “Download CSV” and upload it in the PCA tab.



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