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Imputation by the truncated k-nearest neighbors algorithm

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

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

Usage

impute.knn_trunc(dataSet, k = 10)

Arguments

dataSet

The 2d dataset of experimental values.

k

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

Value

An imputed 2d dataframe.

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 .