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pairwise-differences: Paired difference testing and boxplots¶
Docstring:
Usage: qiime longitudinal pairwise-differences [OPTIONS] Performs paired difference testing between samples from each subject. Sample pairs may represent a typical intervention study (e.g., samples collected pre- and post-treatment), paired samples from two different timepoints (e.g., in a longitudinal study design), or identical samples receiving different treatments. This action tests whether the change in a numeric metadata value "metric" differs from zero and differs between groups (e.g., groups of subjects receiving different treatments), and produces boxplots of paired difference distributions for each group. Note that "metric" can be derived from a feature table or metadata. Inputs: --i-table ARTIFACT FeatureTable[RelativeFrequency] Feature table to optionally use for paired comparisons. [optional] Parameters: --m-metadata-file METADATA... (multiple Sample metadata file containing arguments will be individual-id-column. merged) [required] --p-metric TEXT Numerical metadata or artifact column to test. [required] --p-state-column TEXT Metadata column containing state (e.g., Time) across which samples are paired. [required] --p-state-1 TEXT Baseline state column value. [required] --p-state-2 TEXT State column value to pair with baseline. [required] --p-individual-id-column TEXT Metadata column containing subject IDs to use for pairing samples. WARNING: if replicates exist for an individual ID at either state-1 or state-2, that subject will be dropped and reported in standard output by default. Set replicate_handling="random" to instead randomly select one member. [required] --p-group-column TEXT Metadata column on which to separate groups for comparison [optional] --p-parametric / --p-no-parametric Perform parametric (ANOVA and t-tests) or non-parametric (Kruskal-Wallis, Wilcoxon, and Mann-Whitney U tests) statistical tests. [default: False] --p-palette TEXT Choices('Set1', 'Set2', 'Set3', 'Pastel1', 'Pastel2', 'Paired', 'Accent', 'Dark2', 'tab10', 'tab20', 'tab20b', 'tab20c', 'viridis', 'plasma', 'inferno', 'magma', 'terrain', 'rainbow', 'cividis') Color palette to use for generating boxplots. [default: 'Set1'] --p-replicate-handling TEXT Choices('error', 'random', 'drop') Choose how replicate samples are handled. If replicates are detected, "error" causes method to fail; "drop" will discard all replicated samples; "random" chooses one representative at random from among replicates. [default: 'error'] 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.longitudinal.visualizers import pairwise_differences
Docstring:
Paired difference testing and boxplots Performs paired difference testing between samples from each subject. Sample pairs may represent a typical intervention study (e.g., samples collected pre- and post-treatment), paired samples from two different timepoints (e.g., in a longitudinal study design), or identical samples receiving different treatments. This action tests whether the change in a numeric metadata value "metric" differs from zero and differs between groups (e.g., groups of subjects receiving different treatments), and produces boxplots of paired difference distributions for each group. Note that "metric" can be derived from a feature table or metadata. Parameters ---------- metadata : Metadata Sample metadata file containing individual_id_column. metric : Str Numerical metadata or artifact column to test. state_column : Str Metadata column containing state (e.g., Time) across which samples are paired. state_1 : Str Baseline state column value. state_2 : Str State column value to pair with baseline. individual_id_column : Str Metadata column containing subject IDs to use for pairing samples. WARNING: if replicates exist for an individual ID at either state_1 or state_2, that subject will be dropped and reported in standard output by default. Set replicate_handling="random" to instead randomly select one member. group_column : Str, optional Metadata column on which to separate groups for comparison parametric : Bool, optional Perform parametric (ANOVA and t-tests) or non-parametric (Kruskal- Wallis, Wilcoxon, and Mann-Whitney U tests) statistical tests. palette : Str % Choices('Set1', 'Set2', 'Set3', 'Pastel1', 'Pastel2', 'Paired', 'Accent', 'Dark2', 'tab10', 'tab20', 'tab20b', 'tab20c', 'viridis', 'plasma', 'inferno', 'magma', 'terrain', 'rainbow', 'cividis'), optional Color palette to use for generating boxplots. replicate_handling : Str % Choices('error', 'random', 'drop'), optional Choose how replicate samples are handled. If replicates are detected, "error" causes method to fail; "drop" will discard all replicated samples; "random" chooses one representative at random from among replicates. table : FeatureTable[RelativeFrequency], optional Feature table to optionally use for paired comparisons. Returns ------- visualization : Visualization