View source: R/featureFiltering.R
filterLowVar | R Documentation |
Filter Low Variance Features
filterLowVar(
dataset = NULL,
top = NULL,
var_type = "sd",
low_var_percentile = NULL,
silent = F
)
dataset |
MicroVis dataset (mvdata object) |
top |
(Optional) Top n number of features to be kept based on relative abundance. Specifying a value for this will override the min_relabun value. |
var_type |
Method for assessing variance of samples. Current choices are standard deviation ('sd') and interquartile range ('iqr') |
low_var_percentile |
(Optional) (Default) Variance threshold. Features with variance (standard deviation) lower than this threshold will be filtered out. |
silent |
Argument that is ultimately passed onto runSampleFilter(), runNormalization(), and runFeatureFilter(), telling them not to output any messages. |
MicroVis dataset (mvdata object) with updated low variance filtering parameters.
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