VisualizeCoverage: Explore Global Patterns of Missing Data
In djwcisel/toast: Transcriptome Ortholog Alignment Sequence Tools
Description
Usage
Arguments
Author(s)
Examples
View source: R/VisualizeCoverage.R
Description
Assess coarse missing data patterns using circlepack plots and barplots
Usage
1
VisualizeCoverage(tsv, threshold = 100)
Arguments
tsv
A data frame of missing data coverage such as the generated “parsed_busco_results.tsv”
threshold
Cutoff value for minimum number of sequences allowed per taxon
Author(s)
Dustin J Wcisel, djwcisel@ncsu.edu
James Thomas Howard, jthowar3@ncsu.edu
Jeffrey A Yoder, jayoder@ncsu.edu
Alex Dornburg, dornburgalex@gmail.com
Examples
1
VisualizeCoverage(tsv, threshold)
djwcisel/toast documentation built on Nov. 4, 2019, 10:55 a.m.
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Description Usage Arguments Author(s) Examples
View source: R/VisualizeCoverage.R
Description
Assess coarse missing data patterns using circlepack plots and barplots
Usage
1 | VisualizeCoverage(tsv, threshold = 100)
|
Arguments
tsv |
A data frame of missing data coverage such as the generated “parsed_busco_results.tsv” |
threshold |
Cutoff value for minimum number of sequences allowed per taxon |
Author(s)
Dustin J Wcisel, djwcisel@ncsu.edu
James Thomas Howard, jthowar3@ncsu.edu
Jeffrey A Yoder, jayoder@ncsu.edu
Alex Dornburg, dornburgalex@gmail.com
Examples
1 | VisualizeCoverage(tsv, threshold)
|
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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