mat_test: Example data for 'MetNet': unit tests
In tnaake/MetNet: Inferring metabolic networks from untargeted high-resolution mass spectrometry data
mat_test R Documentation
Example data for MetNet: unit tests
Description
mat_test 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, thomasnaake@googlemail.com
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 = "")
tnaake/MetNet documentation built on Nov. 4, 2024, 4:45 a.m.
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| mat_test | R Documentation |
Example data for MetNet: unit tests
Description
mat_test 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, thomasnaake@googlemail.com
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 = "")
R Package Documentation
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We want your feedback!
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