run_analysis: High level wrapper
In ParkerICI/kumquat: Identification of stratifying subpopulations in Flow Cytometry Data (based on the Citrus package)
Description
This function is a high-level wrapper around the whole model building pipeline. It will calculate a model
and write a series of standardized plots. If you want more control over the plotting output, please
run get_model to calculate the model, and the individual plotting functions
(plot_error_rate, plot_stratifying_features, plot_stratifying_clusters)
Usage
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run_analysis(
features,
endpoint,
output.directory,
model.type,
clusters.data = NULL
)
ParkerICI/kumquat documentation built on Dec. 18, 2021, 6:40 a.m.
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Description
This function is a high-level wrapper around the whole model building pipeline. It will calculate a model
and write a series of standardized plots. If you want more control over the plotting output, please
run get_model to calculate the model, and the individual plotting functions
(plot_error_rate, plot_stratifying_features, plot_stratifying_clusters)
Usage
1 2 3 4 5 6 7 | run_analysis(
features,
endpoint,
output.directory,
model.type,
clusters.data = NULL
)
|
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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