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A tale of two matrices: multivariate approaches in evolutionary biology
MW Blows - Journal of evolutionary biology, 2007 - academic.oup.com
Two symmetric matrices underlie our understanding of microevolutionary change. The first is
the matrix of nonlinear selection gradients (γ) which describes the individual fitness surface …
the matrix of nonlinear selection gradients (γ) which describes the individual fitness surface …
The three major axes of terrestrial ecosystem function
The leaf economics spectrum, and the global spectrum of plant forms and functions revealed
fundamental axes of variation in plant traits, which represent different ecological strategies …
fundamental axes of variation in plant traits, which represent different ecological strategies …
Governance effects on deforestation in the tropics: A review of the evidence
In view of a continuing global decrease of forest cover, many authors mention forest
governance as a basic concept contributing to reduced deforestation, specifically in the …
governance as a basic concept contributing to reduced deforestation, specifically in the …
Financial health as a measurable social determinant of health
Objectives Financial health, understood as one's ability to manage expenses, prepare for
and recover from financial shocks, have minimal debt, and ability to build wealth, underlies …
and recover from financial shocks, have minimal debt, and ability to build wealth, underlies …
[CARTE][B] Experimental design and data analysis for biologists
An essential textbook for any student or researcher in biology needing to design
experiments, sample programs or analyse the resulting data. The text begins with a revision …
experiments, sample programs or analyse the resulting data. The text begins with a revision …
[CARTE][B] Randomization, bootstrap and Monte Carlo methods in biology
BFJ Manly - 2018 - taylorfrancis.com
Modern computer-intensive statistical methods play a key role in solving many problems
across a wide range of scientific disciplines. This new edition of the bestselling …
across a wide range of scientific disciplines. This new edition of the bestselling …
PCAtest: testing the statistical significance of Principal Component Analysis in R
A Camargo - PeerJ, 2022 - peerj.com
Abstract Principal Component Analysis (PCA) is one of the most broadly used statistical
methods for the ordination and dimensionality-reduction of multivariate datasets across …
methods for the ordination and dimensionality-reduction of multivariate datasets across …
How many principal components? Stop** rules for determining the number of non-trivial axes revisited
Principal component analysis is one of the most widely applied tools in order to summarize
common patterns of variation among variables. Several studies have investigated the ability …
common patterns of variation among variables. Several studies have investigated the ability …
Analysis and map** of geochemical anomalies using logratio-transformed stream sediment data with censored values
EJM Carranza - Journal of Geochemical Exploration, 2011 - Elsevier
There is lack of research and documentation of actual (as opposed to theoretical) benefits
(eg, mineral deposit discovery) of developments in compositional data analysis and …
(eg, mineral deposit discovery) of developments in compositional data analysis and …
Bootstrap** Q methodology to improve the understanding of human perspectives
Q is a semi-qualitative methodology to identify typologies of perspectives. It is appropriate to
address questions concerning diverse viewpoints, plurality of discourses, or participation …
address questions concerning diverse viewpoints, plurality of discourses, or participation …