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!
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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