: The software includes tools for Principal Component Analysis (PCA), Principal Coordinates Analysis (PCoA), and multiple factor analysis to visualize complex relationships. Key Features of Version 2.02
The software was originally designed to support the field of numerical taxonomy
(measurements like height, weight, or leaf length).
While newer versions and open-source R packages exist, remains a staple in academic literature for several reasons:
NTSYS-PC 2.02 offers a robust library of coefficients. This is critical in biological research where standard Euclidean distance is often insufficient. The software handles binary data (presence/absence of bands) seamlessly, which is vital for molecular marker analysis.
: The software includes tools for Principal Component Analysis (PCA), Principal Coordinates Analysis (PCoA), and multiple factor analysis to visualize complex relationships. Key Features of Version 2.02
The software was originally designed to support the field of numerical taxonomy
(measurements like height, weight, or leaf length).
While newer versions and open-source R packages exist, remains a staple in academic literature for several reasons:
NTSYS-PC 2.02 offers a robust library of coefficients. This is critical in biological research where standard Euclidean distance is often insufficient. The software handles binary data (presence/absence of bands) seamlessly, which is vital for molecular marker analysis.