make_comparison_columns: Utility function that will take in columns with several...
In blacksheepr: Outlier Analysis for pairwise differential comparison
Description
Usage
Arguments
Value
Examples
View source: R/outlier_analysis_functions.R
Description
Utility function that will take in columns with several subcategories,
and output several columns each with binary classifications.
ex) col1: A,B,C >> colA: A,notA,notA; colB: notB,B,notB; colC: notC,notC,C
Usage
1
make_comparison_columns(intable)
Arguments
intable
table where each column has more than one subcategory, can
be multiple columns
Value
an expanded table with each of the columns as a binary labeling of
each subcategory.
Examples
1
2
3
data("sample_annotationdata")
new_comparisons <- make_comparison_columns(
sample_annotationdata[,1,drop=FALSE])
blacksheepr documentation built on Nov. 8, 2020, 7:57 p.m.
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Description Usage Arguments Value Examples
View source: R/outlier_analysis_functions.R
Description
Utility function that will take in columns with several subcategories, and output several columns each with binary classifications. ex) col1: A,B,C >> colA: A,notA,notA; colB: notB,B,notB; colC: notC,notC,C
Usage
1 | make_comparison_columns(intable)
|
Arguments
intable |
table where each column has more than one subcategory, can be multiple columns |
Value
an expanded table with each of the columns as a binary labeling of each subcategory.
Examples
1 2 3 | data("sample_annotationdata")
new_comparisons <- make_comparison_columns(
sample_annotationdata[,1,drop=FALSE])
|
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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