[FULL] Primer 6 And Permanova User Manual

How to use PRIMER 6 and PERMANOVA+ for multivariate analysis of ecological =
data
PRIMER 6 is a software package that provides various tools for data explora=
tion, visualisation and analysis of ecological data. PERMANOVA+ is an add-o=
n module for PRIMER 6 that extends the capabilities of resemblance-based me=
thods to handle complex designs, interactions, covariates and gradients. In=
 this article, we will introduce the main features and functions of PRIMER =
6 and PERMANOVA+, and provide some examples of how to use them for multivar=
iate analysis of ecological data.


What is PRIMER 6?
PRIMER 6 stands for Plymouth Routines In Multivariate Ecological Research v=
ersion 6. It is a Windows-based software package that was developed by K.R.=
 Clarke and R.N. Gorley at Plymouth Marine Laboratory, UK. PRIMER 6 allows =
users to import, manipulate, transform, cluster, ordinate and test multivar=
iate data sets using various methods and measures. PRIMER 6 also offers gra=
phical tools such as histograms, box plots, scatter plots, bubble plots, de=
ndrograms, MDS plots and biplots to visualise the data and the results of t=
he analysis.



[FULL] primer 6 and permanova user manual

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What is PERMANOVA+?
PERMANOVA+ stands for PERmutational Multivariate ANalysis Of VAriance plus.=
 It is an add-on module for PRIMER 6 that was developed by M.J. Anderson, R=
.N. Gorley and K.R. Clarke. PERMANOVA+ enables users to perform multivariat=
e analysis of variance (MANOVA), analysis of covariance (ANCOVA) or multipl=
e regression models for multi-response data based on any resemblance measur=
e. PERMANOVA+ also allows users to model multivariate data in response to c=
ontinuous variables using distance-based redundancy analysis (dbRDA), perfo=
rm resemblance-based discriminant analysis using canonical analysis of prin=
cipal coordinates (CAP), and allocate new samples to existing groups or pre=
dict their positions along gradients.


How to use PRIMER 6 and PERMANOVA+?
To use PRIMER 6 and PERMANOVA+, users need to have a valid license and inst=
all the software on their computer. Users can download the software from ht=
tps://www.primer-e.com/our-software/. Users also need to have their data in=
 a suitable format for importing into PRIMER 6. The data should be arranged=
 in a matrix with rows representing samples or observations and columns rep=
resenting variables or responses. The data can be either quantitative (e.g.=
, abundance, biomass, concentration) or qualitative (e.g., presence/absence=
, categories). Users can also have additional information about their sampl=
es such as sampling dates, locations, treatments or factors in separate fil=
es.


Once the data are imported into PRIMER 6, users can explore and transform t=
heir data using various options in the Data menu. For example, users can ch=
eck for outliers, normalise or standardise their data, calculate diversity =
indices or similarity matrices, or perform transformations such as log or s=
quare root. Users can also visualise their data using various options in th=
e Graph menu. For example, users can plot histograms, box plots or scatter =
plots of their variables, or plot dendrograms or MDS plots of their samples=
 based on similarity matrices.


To perform multivariate analysis using PERMANOVA+, users need to activate t=
he module by clicking on the PERMANOVA button in the toolbar of PRIMER 6. U=
sers can then access various options in the PERMANOVA menu. For example, us=
ers can perform PERMANOVA to test hypotheses about differences among groups=
 or treatments based on their design matrix, perform dbRDA to model multiva=
riate data in response to continuous variables based on their environmental=
 matrix, perform CAP to classify samples into groups or predict their posit=
ions along gradients based on their resemblance matrix, or perform post-hoc=
 tests or pairwise comparisons to further examine the results of their anal=
ysis.


Where to find more information?
For more information about PRIMER 6 and PERMANOVA+, users can refer to the =
following sources:</p

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