• Screenshot 1

Description


RdaCca


RdaCca is a super handy application that's really easy to use. It's designed for two types of canonical analysis—redudancy analysis and canonical correspondence analysis. The cool part? It does this using multiple regression followed by direct eigenanalysis.



Understanding the Calculation Method


If you're curious about how it all works, you can find the calculation method explained in Chapter 11 of Legendre & Legendre. This program isn't just any software; it's a great learning tool. Its main goal is to show that these calculations can actually be done this way! Plus, it gives users a straightforward way to get all the eigenvectors and ordination axes from PCA or CA ordination, or from canonical analysis (RDA or CCA).



Not a Replacement for Advanced Software


Now, don't get me wrong—RdaCca isn't meant to take the place of advanced programs like CANOCO when it comes to canonical ordination. For instance, this program doesn't do forward selection of explanatory variables or permutation tests of significance. So if you need those features, you'll want something more advanced.



Eigenanalysis Techniques


The eigenanalysis in RdaCca is carried out using either a Householder procedure or singular value decomposition (SVD). And guess what? The subroutines it uses come straight from Numerical Recipes, which is pretty neat!



Download RdaCca Now!


If you're interested in trying out RdaCca, head over to SoftPas for an easy download. You'll be amazed at how simple it makes complex analyses!


User Reviews for RdaCca 12

  • for RdaCca
    RdaCca is a user-friendly tool for canonical analysis, offering easy computation of eigenvectors and ordination axes. Useful for educational purposes.
    Reviewer profile placeholder Sarah Thompson
  • for RdaCca
    RdaCca is a functional app with a sleek user interface and efficient features. Room for improvement exists.
    Reviewer profile placeholder Johnathan Martinez
  • for RdaCca
    RdaCca offers a user-friendly interface with diverse features, solid performance, and impressive responsiveness.
    Reviewer profile placeholder Johnathon Fitzpatrick
  • for RdaCca
    RdaCca provides great performance, utility & interface, but there's room for improvement in customer support.
    Reviewer profile placeholder John Smith
  • for RdaCca
    RdaCca is impressive with intuitive design and user experience, although there's room for improvements.
    Reviewer profile placeholder John Smith
  • for RdaCca
    RdaCca app provides user-friendly interface, but needs improvements in speed and response time.
    Reviewer profile placeholder John F. Kennedy
  • for RdaCca
    RdaCca is an excellent tool for canonical analysis! It's user-friendly and perfect for students learning the concepts.
    Reviewer profile placeholder Emily Johnson
SoftPas

SoftPas is your platform for the latest software and technology news, reviews, and guides. Stay up to date with cutting-edge trends in tech and software development.

Recent

Help

Subscribe to newsletter


© Copyright 2024, SoftPas, All Rights Reserved.