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!.
Ensure your subscription is complete before proceeding with Get Started.
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.
Click the settings icon ( ⚙ ) in the top-left corner of the plot to explore the extensive customization options and personalize your visualization experience.
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.
Significance levels:
*** p < 0.001 ** p < 0.01 * p < 0.05
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.