remove_rare: Remove rare observation based on prevalence percentage and/or...
In ravinpoudel/PhONA: PhONA provides a framework to select a testable and manageable number of OTUs/ASVs to support microbiome-based agriculture
remove_rare R Documentation
Remove rare observation based on prevalence percentage and/or minimum count
Description
This function removes rare feature based on revalence percentage and/or minimum count
Usage
remove_rare(x, minOTUcount = 10, prevalence_percent = 5)
Arguments
x
Vector of observations for a feature or a column of a feature from a feature matrix.
Value
Boolean. If a feature is within the defined criteria, return True, else False
ravinpoudel/PhONA documentation built on Jan. 30, 2023, 5:12 p.m.
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| remove_rare | R Documentation |
Remove rare observation based on prevalence percentage and/or minimum count
Description
This function removes rare feature based on revalence percentage and/or minimum count
Usage
remove_rare(x, minOTUcount = 10, prevalence_percent = 5)
Arguments
x |
Vector of observations for a feature or a column of a feature from a feature matrix. |
Value
Boolean. If a feature is within the defined criteria, return True, else False
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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