Get metabolites to remove based on missing values proportion

get_LOD_to_remove() returns the names of metabolites having the higher proportion of missing values than the given threshold.

Usage

get_LOD_to_remove(dat, threshold = 0.8, use_group = TRUE)

Arguments

dat

a raw_data object. Output of read_data() function.

threshold

a decimal specifying the minimum proportion of missing values a metabolite must have to be removed.

use_group

logical. If TRUE, a metabolite will be returned only if the proportion of missing values exceeds the threshold in every group level.

Examples

path <- get_example_data("small_biocrates_example.xls")
dat <- read_data(path)
get_LOD_to_remove(dat, 0.1)
#> No group to use! It will be ignored.
#>             If you want to use group provide it with add_group function first.
#> [1] "C3"            "C3-DC (C4-OH)" "C3-OH"         "C3:1"         
#> [5] "C4:1"          "C5"