assessQualityOfClassification: Assess quality of assay classification by yielding per assay...
In msxakk89/dat: Data Analyst Toolkit (dat): a library of tools for data analysts and scientists
View source: R/assessQualityOfClassification.R
Description
The function quantifies the quality of assay for a given threshold classifying samples as positive or negative. It performs analysis in a column-wise manner, where column data belongs to an assay.
Usage
1
assessQualityOfClassification(df, anno, threshold = 0.2)
Arguments
df
A data frame. Represents percent enrichment of condtion in sample (generated by whatever assay). Make sure row.names(df) correspond to row.names(anno)
anno
An annotation of data frame. Make sure annotation has two columns. anno[,1] corresponds to sample name (of character type). anno[,2] corresponds to sample condition (of character type). make sure condition names in anno[,2] are the same as condition column names in df.
threshold
A numeric above which sample is clasified as positive for a given assay, and negative if below the threshold.
msxakk89/dat documentation built on Aug. 3, 2020, 6:39 p.m.
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View source: R/assessQualityOfClassification.R
Description
The function quantifies the quality of assay for a given threshold classifying samples as positive or negative. It performs analysis in a column-wise manner, where column data belongs to an assay.
Usage
1 | assessQualityOfClassification(df, anno, threshold = 0.2)
|
Arguments
df |
A data frame. Represents percent enrichment of condtion in sample (generated by whatever assay). Make sure row.names(df) correspond to row.names(anno) |
anno |
An annotation of data frame. Make sure annotation has two columns. anno[,1] corresponds to sample name (of character type). anno[,2] corresponds to sample condition (of character type). make sure condition names in anno[,2] are the same as condition column names in df. |
threshold |
A numeric above which sample is clasified as positive for a given assay, and negative if below the 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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