View source: R/evaluate_performance.R
evaluate_mad | R Documentation |
The function computes the Median Absolute Deviation of the two given datasets. Then the reduction is calculated as the relative change in total MAD.
evaluate_mad(
uncorrected,
corrected,
cell_col = "label",
batch_col = "batch",
markers = NULL,
filter_limit = NULL
)
uncorrected |
Dataframe of uncorrected data |
corrected |
Dataframe of corrected data |
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, |
filter_limit |
Limit for MAD removal (Removing MADs that are below or equal to filter_limit in both before and after correction). Default filters none of the values. |
Other mad:
compute_mad()
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