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原产地美国
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适用平台Windows
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New Traits Window and Analyses
Provides ways to relate data on species traits (trait matrix) to community samples (main matrix) and environmental data (second matrix).
Blocked Multi-Response Permutation Procedures (MRBP)
Randomized block experiments or paired-sample data can be analyzed with a variant of MRPP called MRBP or blocked MRPP. PC-ORD allows up to 1000 blocks and 100 groups.
Indicator Species Analysis
Dufrêne and Legendre’s (1997) method provides a simple, intuitive solution to the problem of evaluating species associated with groups of sample units. It combines information on the concentration of species abundance in a particular group and the faithfulness of occurrence of a species in a particular group. It produces indicator values for each species in each group. These are tested for statistical significance using a Monte Carlo technique.
We also offer courses on how to use R efficiently, but there are always students without experience or who have not attended such a course, or regardless, still have problems with R and so in a classroom setting, they hold back progress. Hence, in practical, hands-on courses that are also quite limited in time, students using PC-ORD can focus much more on the statistical and ecological background rather than by spending too much time with programming.
Thank you for the wonderful news that v. 7 has now been released. Even though practically every multivariate statistical technique/method could alternatively be done using R language, I still prefer using PC-ORD for teaching ecology students multivariate statistics. PC-ORD is very user-friendly and offers, in one self-contained package, many powerful methods and a great toolbox (“Modify Data”) that ecology students really need and can quickly utilize in their research. An excellent feature is the textbook-like, built-in documentation explaining theoretical background in detail.
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