Skip to contents

A wrapper around the impute::impute.knn(). Impute missing values with values from the k-nearest neighbors of the corresponding feature.

Usage

impute_fw_knn(x, k = 5, by = NULL, ...)

Arguments

x

A glyexp::GlycomicSE(), glyexp::GlycoproteomicSE(), or SummarizedExperiment::SummarizedExperiment() object.

k

The number of nearest neighbors to consider.

by

Either a column name in sample_info (string) or a factor/vector specifying group assignments for each sample. Used for grouping when imputing missing values.

...

Additional arguments to pass to impute::impute.knn().

Value

A container of the same class as x, with missing values imputed.