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Sample-wise KNN Imputation

impute_sw_knn.Rd

A 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.

Usage

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

Arguments

x

Either a glyexp_experiment object or a matrix. If a matrix, rows should be variables and columns should be samples.

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

Returns the same type as the input. If x is a glyexp_experiment, returns a glyexp_experiment with missing values imputed. If x is a matrix, returns a matrix with missing values imputed.