get_confusionMatrix_and_metrics: Compute confusion-matrix-related values and metrics
In peterwu19881230/microbialPhenotypes: Tools That Analyze Phenotypic Profiles by Annotation Sets
Description
Usage
Arguments
Author(s)
View source: R/get_confusionMatrix_and_metrics.R
Description
Generate a dataframe that contains: TP, FP, TN, FN, sensitivity, specificity, precision, accuracy for every pair as a cutoff and the same metrics based on randomization as negative controls.
Usage
1
get_confusionMatrix_and_metrics(df, annot, similarity, seed = 103)
Arguments
df
A table generated by generate_pairs_similarity_coannotation()
annot
The name of the column that contains whether pairs of genes are co-annotated or not
similarity
The name of the column that contains similarity scores, or an otherwise provided similarity vector
seed
The random seed number
Author(s)
Peter I-Fan Wu
peterwu19881230/microbialPhenotypes documentation built on March 19, 2021, 6:36 a.m.
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Description Usage Arguments Author(s)
View source: R/get_confusionMatrix_and_metrics.R
Description
Generate a dataframe that contains: TP, FP, TN, FN, sensitivity, specificity, precision, accuracy for every pair as a cutoff and the same metrics based on randomization as negative controls.
Usage
1 | get_confusionMatrix_and_metrics(df, annot, similarity, seed = 103)
|
Arguments
df |
A table generated by generate_pairs_similarity_coannotation() |
annot |
The name of the column that contains whether pairs of genes are co-annotated or not |
similarity |
The name of the column that contains similarity scores, or an otherwise provided similarity vector |
seed |
The random seed number |
Author(s)
Peter I-Fan Wu
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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