design_matrix: Convert character vector to one-hot encoded matrix, with one...
In gillislab/MetaMarkers: Extract robust markers from multiple datasets
Description
Convert character vector to one-hot encoded matrix, with one column per
unique string.
Usage
1
design_matrix(cell_type, scale_columns = FALSE)
Arguments
cell_type
Character vector.
scale_columns
Boolean, should columns be normalized to sum to 1?
gillislab/MetaMarkers documentation built on April 24, 2021, 9:25 p.m.
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Description
Convert character vector to one-hot encoded matrix, with one column per unique string.
Usage
1 | design_matrix(cell_type, scale_columns = FALSE)
|
Arguments
cell_type |
Character vector. |
scale_columns |
Boolean, should columns be normalized to sum to 1? |
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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