compute_mad: Compute MAD
In shdam/cyCombine: Robust integration of single-cell cytometry datasets within and across technologies
View source: R/evaluate_performance.R
compute_mad R Documentation
Compute MAD
Description
Given a dataframe, the Median Absolute Deviation (MAD) is calculated per-marker, per-batch
Usage
compute_mad(df, cell_col = "label", batch_col = "batch", markers = NULL)
Arguments
df
Dataframe to compute the MADs of
cell_col
Column name of df that contains cell population labels (or clusters)
batch_col
Column name of df that contains batch numbers
markers
Vector of the markers to calculate EMD for. If NULL, get_markers will be used to find markers
See Also
Other mad:
evaluate_mad()
shdam/cyCombine documentation built on June 12, 2022, 11:29 p.m.
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View source: R/evaluate_performance.R
| compute_mad | R Documentation |
Compute MAD
Description
Given a dataframe, the Median Absolute Deviation (MAD) is calculated per-marker, per-batch
Usage
compute_mad(df, cell_col = "label", batch_col = "batch", markers = NULL)
Arguments
df |
Dataframe to compute the MADs of |
cell_col |
Column name of df that contains cell population labels (or clusters) |
batch_col |
Column name of df that contains batch numbers |
markers |
Vector of the markers to calculate EMD for. If NULL, |
See Also
Other mad:
evaluate_mad()
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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