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first-distances: Compute first distances or distance from baseline between sequential states¶
Docstring:
Usage: qiime longitudinal first-distances [OPTIONS] Calculates first distances between sequential states for samples collected from individual subjects sampled repeatedly at two or more states. This method is similar to the "first differences" method, except that it requires a distance matrix as input and calculates first differences as distances between successive states. Outputs a data series of first distances for each individual subject at each sequential pair of states, labeled by the SampleID of the second state (e.g., paired distances between time 0 and time 1 would be labeled by the SampleIDs at time 1). This file can be used as input to linear mixed effects models or other longitudinal or diversity methods to compare changes in first distances across time or among groups of subjects. Also supports distance from baseline (or other static comparison state) by setting the "baseline" parameter. Inputs: --i-distance-matrix ARTIFACT DistanceMatrix Matrix of distances between pairs of samples. [required] Parameters: --m-metadata-file METADATA... (multiple Sample metadata file containing arguments will be individual-id-column. merged) [required] --p-state-column TEXT Metadata column containing state (time) variable information. [required] --p-individual-id-column TEXT Metadata column containing IDs for individual subjects. [required] --p-baseline NUMBER A value listed in the state-column metadata column against which all other states should be compared. Toggles calculation of static distances instead of first distances (which are calculated if no value is given for baseline). If a "baseline" value is provided, sample distances at each state are compared against the baseline state, instead of the previous state. Must be a value listed in the state-column. [optional] --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-first-distances ARTIFACT SampleData[FirstDifferences] Series of first distances. [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.methods import first_distances
Docstring:
Compute first distances or distance from baseline between sequential states Calculates first distances between sequential states for samples collected from individual subjects sampled repeatedly at two or more states. This method is similar to the "first differences" method, except that it requires a distance matrix as input and calculates first differences as distances between successive states. Outputs a data series of first distances for each individual subject at each sequential pair of states, labeled by the SampleID of the second state (e.g., paired distances between time 0 and time 1 would be labeled by the SampleIDs at time 1). This file can be used as input to linear mixed effects models or other longitudinal or diversity methods to compare changes in first distances across time or among groups of subjects. Also supports distance from baseline (or other static comparison state) by setting the "baseline" parameter. Parameters ---------- distance_matrix : DistanceMatrix Matrix of distances between pairs of samples. metadata : Metadata Sample metadata file containing individual_id_column. state_column : Str Metadata column containing state (time) variable information. individual_id_column : Str Metadata column containing IDs for individual subjects. baseline : Float, optional A value listed in the state_column metadata column against which all other states should be compared. Toggles calculation of static distances instead of first distances (which are calculated if no value is given for baseline). If a "baseline" value is provided, sample distances at each state are compared against the baseline state, instead of the previous state. Must be a value listed in the state_column. 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. Returns ------- first_distances : SampleData[FirstDifferences] Series of first distances.