PRIMER 7, Online Workshop

How to Register

For further information please download and read the workshop documents listed in the blue box labelled “Download Information”, above. To register, please send your completed registration form to the PRIMER-e office at: [email protected]. Please send a separate registration form for each individual participant and contact the PRIMER-e office directly if you wish to receive a single invoice for multiple registrations.

A subsequent online PERMANOVA+ workshop will be held 15 -19 November 2021, Australian Western Time (UTC + 8hrs). Details of this subsequent workshop can be found HERE.

Online Workshop Details

PRIMER version 7 will be presented by Dr Adam N. H. Smith (Massey University)

This online workshop will provide an intensive and extensive overview of statistical methods in non-parametric analysis of multivariate data, encapsulated in the software: PRIMER version 7. It will cater to both those who are new to PRIMER and to those who are “old hands”, but have not yet had a chance to get up to speed with the latest developments in version 7. Important new tools include: shade plots with flexible ordering & clustering of axes; coherence plots to show species displaying statistically distinguishable response patterns; unconstrained binary or divisive flat clustering (as in k-means) along with SIMPROF tests; metric, threshold metric, non-metric or combined MDS in any dimensions; bootstrap averages to show variation among averages in metric MDS space; 2-way versions of BEST and RELATE; new plot types (bar, box, means, line, histogram, scatter, surface, shade) in 2-d or 3-d; animations of ordinations captured to video files; multi-factor and multi-variable segmented bubble plots in 2-d and 3-d; ANOSIM extended for ordered factors and 3-factor designs and much more.

Much of the final day of the workshop (Friday) will be devoted to Masterclass / Own-data sessions, where participants can ask questions, interact with other workshop participants in small (breakout) groups, and also consult one-on-one with the presenter to analyse their own datasets, using the tools learned during the week.