PRIMER-e v7 生態學多變數統計軟體-資安軟體/研究分析軟體/心理學軟體/新永資訊有限公司

PRIMER-e v7 生態學多變數統計軟體

PRIMER-e v7 生態學多變數統計軟體

  • PRIMER-e v7 生態學多變數統計軟體
  • 編號
  • 類別
    統計分析軟體
  • 介紹
    PRIMER has become the global standard in software tools for nonparametric​ multivariate analysis. Classical techniques falter when there are too many​ variables, or when assumptions of multivariate normality do not hold.​
  • 價格

PRIMER version 7

PRIMER v7 provides a wide range of univariate, graphical and multivariate routines for analysing arrays of species-by-samples data from community ecology.​

Easy manipulation of data and results-The PRIMER Workspace (*.pwk)
  • • Work on multiple data-sets, graphics and output files simultaneously within a single interactive & intuitive graphical Windows environment.​
  • • Keep track of all your work easily using the tree-like navigation pane.​
  • • Input/output data from Excel, .csv, .txt or 3-column format.​
  • • View and change the colours, fonts, look & feel of your plots and graphics on-screen.​​
  • • Copy/print/export results to .jpg, .emf, .tif, .gif, .png, .bmp or .rtf files.
  • • Power and flexibility in specifying analyses.
  • • Identify important subsets of samples or variables.​​
  • • Define group structures for tests and displays.​​
  • • Handle relatively large data sets (subject only to available Windows memory).​
  • • Merge or split data on specified criteria.​​
  • • Unleash the time-saving power of in-built Wizards for matrix displays and core analyses.

Multivariate analysis is more than a stack of univariate parts.
Achieve a holistic view of your high-dimensional data by exploring and revealing its salient structures.


Ordination
  • • Ordination techniques for visualising data, including principal components analysis (PCA), plus non-metric, metric or threshold-metric multi-dimensional scaling (nMDS, mMDS, tmMDS).​
  • • Visualise high-dimensional data in 2d or 3d. Customise text, colours and symbols. Add essential information with overlays, such as clusters, trajectories, bubbles, images, vectors, or minimum spanning trees.​
  • • Use bootstrapping to show confidence regions on MDS plots. Spin, expand, rotate, animate, save and share your insightful images.​

Clustering
  • • Perform hierarchical clustering into sample (or variable/species) groups, with single, complete, group-average or flexible-beta linkage options.​​
  • • Create cophenetic distance matrices and plot dendrograms. Customise, rotate, collapse, zoom in, or print them out over multiple pages to capture all of the finer details.​​
  • • Similarity profiles (SIMPROF) and associated permutation tests identify the coherence of groups of samples or species.​​
  • • Divisive clustering methods can be unconstrained (UNCTREE), or constrained by environmental (or other) variables (LINKTREE), while krCLUSTER does a non-parametric version of k-means clustering.​

Shade plots and Heat maps​
  • • Display actual values in 2d or 3d with grey-scale or colour spectra of choice.​
  • • Salient patterns are uncovered with ease.​
  • • Samples and variables can be sorted according to various criteria, including gradients, clustering constraints, or groupings.​​​
  • • Labels and symbols are easily modified and customised.​

Non-parametric tests​
  • • Permutation-based hypothesis testing using analysis of similarities (ANOSIM), which tests for differences between groups of multivariate samples from different times, locations, experimental treatments, etc. PRIMER’s algorithms now support most three-way designs for these fully non-parametric tests.​
  • • Identify species primarily providing discrimination between two groups of samples (SIMPER).​ ​
  • • Test for seriation and other Mantel-type tests for sequential data in time or space.​​​
  • • Relate matrices to one another or identify subsets of variables which together produce a ‘BEST’ Mantel-type match to a given resemblance matrix. ​
  • • Permutation tests include variable-selection steps to ensure rigorous statistical inference.​​​​

Biodiversity analyses​
  • • Use taxonomic, functional and/or phylogenetic information to inform biodiversity assessments. Test against master lists using sub-sampling algorithms.​
  • • Calculate a multitude of classic and novel diversity indices or summary statistics of individual variables, with aggregation tools for analysing data at higher taxonomic levels.​​
  • • Access a wide choice of flexible plotting functions for individual variables: line, histogram, scatter, bar, box, means, surface or Draftsman plots.​​​​
  • • Ecology-specific tools are at your fingertips, such as dominance plots, geometric class plots, or abundance biomass curves (ABC).​​

PRIMER-e 生態學多變數統計軟體

Thousands of researchers globally trust PRIMER for ingenuity and clarity in multivariate analysis.Analyse ecological data, or any other data, that would benefit from a safe non-parametric approach​.

Data are typically of abundance, biomass, % area (or line) cover, presence/absence etc. and arise in biological monitoring of environmental impacts and more​ fundamental ecological studies. Also catered for are matrices of physical values and chemical concentrations, which are analysed in their own right or in​ parallel with biological assemblage data, e.g., to examine co-variation of biotic changes with physico-chemical conditions.​

Though the analysis requirements for biological assemblage data are a principle focus, the package is equally applicable (and increasingly being applied)​ to other data structures which are multivariate or can be treated as such.​​

The unifying feature is that all datasets can be reduced to an appropriate triangular matrix representing the resemblance of every pair of samples in terms of​ their assemblages, suites of biomarkers, particle size distributions, shape of growth curves, etc. Clustering and ordination techniques are then able to​ display the relationships among samples, and permutation tests are used to test hypotheses.​
 

StatXact® 12 無母數分析軟體

StatXact® 12 provides statisticians in disciplines across the social and natural sciences with the world’s most expansive toolkit for exact inference and power analysis. Offering more than 150 tests and procedures, the StatXact® suite has transformed the complex algorithms of modern statistical analysis into a validated software package with a user-friendly interface.

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StatXact® 12 無母數分析軟體
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Stat-200 v2.1 統計套裝軟體

Stat-200 is a remarkably comprehensive general statistics package. It incorporates all the descriptive statistics, parametric and non-parametric statistical tests, graphics and data transforms you will need for processing, analyzing and presenting data. Parametric tests and procedures in Stat-200 total 60 and there are 66 non-parametric tests and procedures and 30 different descriptive statistics. ANOVA is comprehensive and includes general N factor analysis. Many unusual procedures are included e.g. survival analysis. All tests have associated information windows which give literature referen

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Stat-200 v2.1 統計套裝軟體
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Comprehensive Meta-Analysis 3 統計分析軟體

Meta分析是結合來自多項研究的數據統計程序。當治療效果(或效果大小)的一項研究是一致的,Meta分析可以用來識別當前普遍的影響,從一項研究中至下一項的效果變化,Meta分析可被用來確定變化的原因。 

特價0

Comprehensive Meta-Analysis 3 統計分析軟體
Comprehensive Meta-Analysis 3 統計分析軟體

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