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procrustes-analysis: Procrustes Analysis¶
Docstring:
Usage: qiime diversity procrustes-analysis [OPTIONS] Fit two ordination matrices with Procrustes analysis Inputs: --i-reference ARTIFACT The ordination matrix to which data is fitted to. PCoAResults [required] --i-other ARTIFACT The ordination matrix that's fitted to the PCoAResults reference ordination. [required] Parameters: --p-dimensions INTEGER The number of dimensions to use when fitting the Range(1, None) two matrices [default: 5] --p-permutations VALUE Int % Range(1, None) | Str % Choices('disable') The number of permutations to be run when computing p-values. Supplying a value of `disable` 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] Outputs: --o-transformed-reference ARTIFACT PCoAResults A normalized version of the "reference" ordination matrix. [required] --o-transformed-other ARTIFACT PCoAResults A normalized and fitted version of the "other" ordination matrix. [required] --o-disparity-results ARTIFACT ProcrustesStatistics The sum of the squares of the pointwise differences between the two input datasets & its p value. [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.methods import procrustes_analysis
Docstring:
Procrustes Analysis Fit two ordination matrices with Procrustes analysis Parameters ---------- reference : PCoAResults The ordination matrix to which data is fitted to. other : PCoAResults The ordination matrix that's fitted to the reference ordination. dimensions : Int % Range(1, None), optional The number of dimensions to use when fitting the two matrices permutations : Int % Range(1, None) | Str % Choices('disable'), optional The number of permutations to be run when computing p-values. Supplying a value of `disable` will disable permutation testing and p-values will not be calculated (this results in *much* quicker execution time if p-values are not desired). Returns ------- transformed_reference : PCoAResults A normalized version of the "reference" ordination matrix. transformed_other : PCoAResults A normalized and fitted version of the "other" ordination matrix. disparity_results : ProcrustesStatistics The sum of the squares of the pointwise differences between the two input datasets & its p value.