assessment_min_counts: Classify the sample as meeting or failing minimum sample...
In BWAM/stayCALM: Stay Calm when Applying a Consolidated Assessment Listing Methodology (CALM)
Description
Usage
Arguments
Value
Description
Classify the sample as meeting or failing minimum sample requirements.
Usage
1
assessment_min_counts(.x, .min_samples)
Arguments
.x
a vector, most likely a sample ID.
.min_samples
an integer defining the minimum
number of samples required for an assessment
Value
a logical vector. TRUE indicates that the defined group meets the
minimum sample counts to perform an assessment, while FALSE indicates there
are not enough samples to perform an assessment.
BWAM/stayCALM documentation built on May 21, 2020, 3:24 p.m.
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Description Usage Arguments Value
Description
Classify the sample as meeting or failing minimum sample requirements.
Usage
1 | assessment_min_counts(.x, .min_samples)
|
Arguments
.x |
a vector, most likely a sample ID. |
.min_samples |
an integer defining the minimum number of samples required for an assessment |
Value
a logical vector. TRUE indicates that the defined group meets the minimum sample counts to perform an assessment, while FALSE indicates there are not enough samples to perform an assessment.
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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