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Imputation by the truncated k-nearest neighbors algorithm

Source: R/imputation.R
impute.knn_trunc.Rd

Apply imputation to the data set by the truncated k-nearest neighbors algorithm (Shah et al. 2017) .

Usage

impute.knn_trunc(dataSet, k = 10)

Arguments

dataSet

A data frame containing the data signals.

k

An integer (default = 10) indicating the number of neighbors to be used in the imputation.

Value

An imputed data frame.

References

Shah JS, Rai SN, DeFilippis AP, Hill BG, Bhatnagar A, Brock GN (2017). “Distribution Based Nearest Neighbor Imputation for Truncated High Dimensional Data with Applications to Pre-Clinical and Clinical Metabolomics Studies.” BMC bioinformatics, 18, 114. doi:10.1186/s12859-017-1547-6 .