Dear Colleagues, I have run a PCA on a five band data set consisting of three optical bands, a canopy height model and lidar intensity measures. Output from the i.pca module only provides the eigen vectors. I would like to calculate the eigen values and % variance explained by each component in my PCA analysis.
Is it possible to calculate the eigen values and % variance explained using GRASS or should I use something like R? I am using version 6.3 on ubuntu hardy heron. Many thanks for your help. Wesley Wesley Roberts MSc. Researcher: Earth Observation (Ecosystems) Natural Resources and the Environment CSIR Tel: +27 (21) 888-2490 Fax: +27 (21) 888-2693 "To know the road ahead, ask those coming back." - Chinese proverb -- This message is subject to the CSIR's copyright terms and conditions, e-mail legal notice, and implemented Open Document Format (ODF) standard. The full disclaimer details can be found at http://www.csir.co.za/disclaimer.html. This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean. MailScanner thanks Transtec Computers for their support. _______________________________________________ grass-user mailing list grass-user@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/grass-user
