Sample-wise KNN Imputation
impute_sw_knn.RdA wrapper around the impute::impute.knn().
Impute missing values with values from the k-nearest neighbors of the
corresponding sample.
If there are strong patterns among the samples (such as group clustering
relationships or experimental conditions), this method can better utilize
the overall relationships among samples.
Arguments
- x
A
glyexp::GlycomicSE(),glyexp::GlycoproteomicSE(), orSummarizedExperiment::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().