missingvalues_imputation: Missing values imputation

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

Treats the missing values of a dataset according to a specific method.

Usage

missingvalues_imputation(dataset, method = "value", 
value = 5e-04, k = 5)

Arguments

dataset	list representing the dataset from a metabolomics experiment.
method	imputation method. It can be: "value" - replaces the missing values with a specific value "mean" - replaces the missing values with the mean of the variables' values "median" - replaces the missing values with the median of the variables' values "knn" - replaces the missing values with k nearest neighbor averaging "linapprox" - replaces the missing values with linear approximation
value	the value to replace the missing values if the method is "value".
k	the number of neighbors if the method is "knn".

Value

Returns the dataset with no missing values.

Examples

  ## Example of impute missing values
  library(specmine.datasets)
  data(propolis)
  dataset = missingvalues_imputation(propolis, method = "value", 
	    value = 0.0005)

specmine documentation built on Sept. 21, 2021, 5:06 p.m.