Feature-wise KNN Imputation

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, ...)

# S3 method for class 'glyexp_experiment'
impute_fw_knn(x, k = 5, by = NULL, ...)

# S3 method for class 'matrix'
impute_fw_knn(x, k = 5, by = NULL, ...)

# Default S3 method
impute_fw_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.