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adonis: adonis PERMANOVA test for beta group significance¶
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Docstring:
Usage: qiime diversity adonis [OPTIONS] Determine whether groups of samples are significantly different from one another using the ADONIS permutation-based statistical test in vegan-R. The function partitions sums of squares of a multivariate data set, and is directly analogous to MANOVA (multivariate analysis of variance). This action differs from beta_group_significance in that it accepts R formulae to perform multi-way ADONIS tests; beta_group_signficance only performs one-way tests. For more details, consult the reference manual available on the CRAN vegan page: https://CRAN.R-project.org/package=vegan Inputs: --i-distance-matrix ARTIFACT DistanceMatrix Matrix of distances between pairs of samples. [required] Parameters: --m-metadata-file METADATA... (multiple Sample metadata containing formula terms. arguments will be merged) [required] --p-formula TEXT Model formula containing only independent terms contained in the sample metadata. These can be continuous variables or factors, and they can have interactions as in a typical R formula. E.g., the formula "treatment+block" would test whether the input distance matrix partitions based on "treatment" and "block" sample metadata. The formula "treatment*block" would test both of those effects as well as their interaction. Enclose formulae in quotes to avoid unpleasant surprises. [required] --p-permutations INTEGER Range(1, None) The number of permutations to be run when computing p-values. [default: 999] --p-n-jobs NTHREADS Number of parallel processes to run. [default: 1] Outputs: --o-visualization VISUALIZATION [required] Miscellaneous: --output-dir PATH Output unspecified results to a directory --verbose / --quiet Display verbose output to stdout and/or stderr during execution of this action. Or silence output if execution is successful (silence is golden). --example-data PATH Write example data and exit. --citations Show citations and exit. --use-cache DIRECTORY Specify the cache to be used for the intermediate work of this action. If not provided, the default cache under $TMP/qiime2/will be used. IMPORTANT FOR HPC USERS: If you are on an HPC system and are using parallel execution it is important to set this to a location that is globally accessible to all nodes in the cluster. --help Show this message and exit.
Import:
from qiime2.plugins.diversity.visualizers import adonis
Docstring:
adonis PERMANOVA test for beta group significance Determine whether groups of samples are significantly different from one another using the ADONIS permutation-based statistical test in vegan-R. The function partitions sums of squares of a multivariate data set, and is directly analogous to MANOVA (multivariate analysis of variance). This action differs from beta_group_significance in that it accepts R formulae to perform multi-way ADONIS tests; beta_group_signficance only performs one-way tests. For more details, consult the reference manual available on the CRAN vegan page: https://CRAN.R-project.org/package=vegan Parameters ---------- distance_matrix : DistanceMatrix Matrix of distances between pairs of samples. metadata : Metadata Sample metadata containing formula terms. formula : Str Model formula containing only independent terms contained in the sample metadata. These can be continuous variables or factors, and they can have interactions as in a typical R formula. E.g., the formula "treatment+block" would test whether the input distance matrix partitions based on "treatment" and "block" sample metadata. The formula "treatment*block" would test both of those effects as well as their interaction. Enclose formulae in quotes to avoid unpleasant surprises. permutations : Int % Range(1, None), optional The number of permutations to be run when computing p-values. n_jobs : Threads, optional Number of parallel processes to run. Returns ------- visualization : Visualization