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mantel: Apply the Mantel test to two distance matrices¶
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Docstring:
Usage: qiime diversity mantel [OPTIONS] Apply a two-sided Mantel test to identify correlation between two distance matrices. Note: the directionality of the comparison has no bearing on the results. Thus, comparing distance matrix X to distance matrix Y is equivalent to comparing Y to X. Note: the order of samples within the two distance matrices does not need to be the same; the distance matrices will be reordered before applying the Mantel test. See the scikit-bio docs for more details about the Mantel test: http://scikit-bio.org/docs/latest/generated/skbio.stats.distance.mantel Inputs: --i-dm1 ARTIFACT Matrix of distances between pairs of samples. DistanceMatrix [required] --i-dm2 ARTIFACT Matrix of distances between pairs of samples. DistanceMatrix [required] Parameters: --p-method TEXT Choices('spearman', 'pearson') The correlation test to be applied in the Mantel test. [default: 'spearman'] --p-permutations INTEGER Range(0, None) The number of permutations to be run when computing p-values. Supplying a value of zero will disable permutation testing and p-values will not be calculated (this results in *much* quicker execution time if p-values are not desired). [default: 999] --p-intersect-ids / --p-no-intersect-ids If supplied, IDs that are not found in both distance matrices will be discarded before applying the Mantel test. Default behavior is to error on any mismatched IDs. [default: False] --p-label1 TEXT Label for `dm1` in the output visualization. [default: 'Distance Matrix 1'] --p-label2 TEXT Label for `dm2` in the output visualization. [default: 'Distance Matrix 2'] 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 mantel
Docstring:
Apply the Mantel test to two distance matrices Apply a two-sided Mantel test to identify correlation between two distance matrices. Note: the directionality of the comparison has no bearing on the results. Thus, comparing distance matrix X to distance matrix Y is equivalent to comparing Y to X. Note: the order of samples within the two distance matrices does not need to be the same; the distance matrices will be reordered before applying the Mantel test. See the scikit-bio docs for more details about the Mantel test: http://scikit- bio.org/docs/latest/generated/skbio.stats.distance.mantel Parameters ---------- dm1 : DistanceMatrix Matrix of distances between pairs of samples. dm2 : DistanceMatrix Matrix of distances between pairs of samples. method : Str % Choices('spearman', 'pearson'), optional The correlation test to be applied in the Mantel test. permutations : Int % Range(0, None), optional The number of permutations to be run when computing p-values. Supplying a value of zero will disable permutation testing and p-values will not be calculated (this results in *much* quicker execution time if p-values are not desired). intersect_ids : Bool, optional If supplied, IDs that are not found in both distance matrices will be discarded before applying the Mantel test. Default behavior is to error on any mismatched IDs. label1 : Str, optional Label for `dm1` in the output visualization. label2 : Str, optional Label for `dm2` in the output visualization. Returns ------- visualization : Visualization