knn_impute {structToolbox} | R Documentation |
k-nearest neighbour missing value imputation replaces missing values in the data with the average of a predefined number of the most similar neighbours for which the value is present
knn_impute( neighbours = 5, sample_max = 50, feature_max = 50, by = "features", ... )
neighbours |
(numeric) The number of neighbours (k) to use for imputation. The default is |
sample_max |
(numeric) The maximum percent missing values per sample. The default is |
feature_max |
(numeric) The maximum percent missing values per feature. The default is |
by |
(character) Impute using similar "samples" or "features". Default features. The default is |
... |
Additional slots and values passed to |
This object makes use of functionality from the following packages:
pmp
A knn_impute
object.
Jankevics A, Weber RJM (2020). pmp: Peak Matrix Processing and signal batch correction for metabolomics datasets. R package version 1.1.0.
M = knn_impute()