View source: R/normalization.R
normalizeTable | R Documentation |
Normalize a Standalone Abundance Table
normalizeTable(
abundance_table,
sample_scale = NULL,
feature_scale = NULL,
transformation = NULL,
sum_scale = 1e+06,
log_base = 10,
silent = F
)
abundance_table |
Abundance table with samples as rows and features as columns |
sample_scale |
Sample scaling method to be used. Choices are "sum", "none", "relative", "median", "range", "centered", and "standardized". Default is "sum". |
feature_scale |
Feature scaling method to be used. Choices are "sum", "none", "relative", "median", "range", "centered", and "standardized". Default is "sum". |
transformation |
Transformation method to be used. Choices are "glog" (generalized log), "none", "pseudolog", and "log". |
sum_scale |
Number to scale samples/features by. Default is 1 million. |
log_base |
Base for log transformations. Default is 10 |
silent |
Argument that is ultimately passed onto runSampleFilter(), runNormalization(), and runFeatureFilter(), telling them not to output any messages. |
Normalized abundance table.
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