mat_test_z: Example data for 'MetNet': unit tests

In tnaake/MetNet: Inferring metabolic networks from untargeted high-resolution mass spectrometry data

Example data for MetNet: unit tests

Description

mat_test_z contains 7 toy features that were derived from rnorm. It will be used as an example data set in unit tests.

Format

matrix

Value

matrix

Author(s)

Thomas Naake, [e-mail]

Source

set.seed(1) random_numbers <- rnorm(140, mean = 10, sd = 2) mat_test <- matrix(random_numbers, nrow = 7) mat_test[1:3, ] <- t(apply(mat_test[1:3, ], 1, sort)) mat_test[5:7, ] <- t(apply(mat_test[5:7, ], 1, sort, decreasing = TRUE)) rownames(mat_test) <- paste("x", 1:7, sep = "") mat_test_z <- apply(mat_test, 1, function(x) (x - mean(x, na.rm = TRUE))/sd(x, na.rm = TRUE))

tnaake/MetNet documentation built on Feb. 21, 2023, 12:20 p.m.