count_missing_values_per_sample: Count missing values per sample

In specmine: Metabolomics and Spectral Data Analysis and Mining

Count missing values per sample

Description

Returns the number of missing values per sample.

Usage

count_missing_values_per_sample(dataset, remove.zero = TRUE)

Arguments

dataset	Dataset to inspect.
remove.zero	If TRUE, removes zero counts.

Value

A named numeric vector giving the number of missing values for each sample in 'dataset$data'. If 'remove.zero' is 'TRUE', only samples with at least one missing value are returned.

Examples

data <- matrix(
  c(1, NA, 3,
    4,  5, NA),
  nrow = 2,
  dimnames = list(c("x1", "x2"), c("s1", "s2", "s3"))
)
metadata <- data.frame(class = c("A", "B", "A"), row.names = c("s1", "s2", "s3"))
dataset <- list(data = data, metadata = metadata)
count_missing_values_per_sample(dataset)

specmine documentation built on Aug. 5, 2026, 5:06 p.m.