diagnostic_continuous_discover: Diagnostic visualization for continuous.discover function
In MMUPHin: Meta-analysis Methods with Uniform Pipeline for Heterogeneity in Microbiome Studies
Description
Usage
Arguments
Value
View source: R/helpers_continuous_discover.R
Description
Diagnostic visualization for continuous.discover function
Usage
1
diagnostic_continuous_discover(mat_vali, lvl_batch, cos_cutoff, output)
Arguments
mat_vali
matrix of maximum correlations between the cluster-specific
consensus loadings and top PC loadings from each batch
lvl_batch
unique batches in the data
cos_cutoff
the specified consine coefficient cutoff
output
output file name
Value
the invisble ggplot2 plot object
MMUPHin documentation built on April 9, 2021, 6:01 p.m.
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Description Usage Arguments Value
View source: R/helpers_continuous_discover.R
Description
Diagnostic visualization for continuous.discover function
Usage
1 | diagnostic_continuous_discover(mat_vali, lvl_batch, cos_cutoff, output)
|
Arguments
mat_vali |
matrix of maximum correlations between the cluster-specific consensus loadings and top PC loadings from each batch |
lvl_batch |
unique batches in the data |
cos_cutoff |
the specified consine coefficient cutoff |
output |
output file name |
Value
the invisble ggplot2 plot object
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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