MULTIV
Can perform flexible exploratory analysis, randomization testing and bootstrap resampling with multivariate data. It can handle qualitative, quantitative and mixed data types, offering several options for data transformation, resemblance measures, ordination and clustering techniques.
Integrated to the exploratory tools, MULTIV can do fast randomization testing in univariate or multivariate comparisons between groups of sampling units defined by one or more factors, the latter being especially useful in the analysis of variance due to factor and interaction effects in experimental and survey data. In addition, MULTIV can perform the multiresponse permutation procedure (MRPP). Randomization tests are also available for pair-wise comparisons of variables.
MULTIV can do bootstrap resampling to generate empirical confidence limits useful in estimation, to evaluate group partition sharpness in cluster analysis and to evaluate the significance of ordination dimensions. Bootstrap resampling is integrated with process sampling for examining sampling sufficiency. See related publications below.
Beta versions:
Related publications:
Camiz, S. & Pillar, V.D. 2007. Comparison of single and complete linkage clustering with the hierarchical factor classification of variables. Community Ecology 8(1): 25-30. PDF DOI
Camiz, S.; Denimal, J. J. & Pillar, V.D. 2006. Hierarchical factor classification of variables in ecology. Community Ecology 7(2): 165-179. PDF Appendix DOI
Orloci, L., V.D. Pillar, M. Anand & H. Behling. 2002. Some interesting characteristics of the vegetation process. Community Ecology 3: 125-146. PDF DOI
Orloci, L., M. Anand, & V.D. Pillar. 2002. Biodiversity analysis: issues, concepts, techniques. Community Ecology 3: 217-236. PDF DOI
Pillar, V.D. 1999. How sharp are classifications? Ecology 80: 2508-2516. PDF
Pillar, V.D. 1999. The bootstrapped ordination reexamined. Journal of Vegetation Science 10: 895-902. PDF
Pillar, V.D. 1998. Sampling sufficiency in ecological surveys. Abstracta Botanica 22: 37-48. PDF
Pillar, V.D. 1997. Multivariate exploratory analysis and randomization testing with MULTIV. Coenoses 12: 145-148. PDF
Pillar, V.D. & L. Orlóci. 1996. On randomization testing in vegetation science: multifactor comparisons of relevé groups. Journal of Vegetation Science 7: 585-592. PDF
Orlóci, L. & V.D. Pillar. 1989. On sample size optimality in ecosystem survey. Biometrie-Praximetrie 29: 173-184. PDF
