count_missing_values_per_sample: Count missing values per sample

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

Counts the missing values on each sample of the dataset.

Usage

count_missing_values_per_sample(dataset, remove.zero = TRUE)

Arguments

dataset	list representing the dataset from a metabolomics experiment.
remove.zero	boolean value indicating if the results of samples with no missing value are removed.

Value

Returns a vector with the number of missing values on each sample.

Examples

  ## Example of counting the missing values on each sample
  library(specmine.datasets)
  data(cachexia)
  cachexia$data[10,10] = NA
  count_missing_values_per_sample(cachexia)

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