randomise_queue {protti} | R Documentation |
Randomise samples in MS queue
Description
This function randomises the order of samples in an MS queue. QC and Blank samples are left in
place. It is also possible to randomise only parts of the queue. Before running this make sure
to set a specific seed with the set.seed()
function. This ensures that the randomisation
of the result is consistent if the function is run again.
Usage
randomise_queue(data = NULL, rows = NULL, export = FALSE)
Arguments
data |
optional, a data frame that contains a queue. If not provided a queue file can be chosen interactively. |
rows |
optional, a numeric vector that specifies a range of rows in for which samples should be randomized. |
export |
a logical value that determines if a |
Value
If export = TRUE
a "randomised_queue.csv"
file will be saved in the
working directory. If export = FALSE
a data frame that contains the randomised queue
is returned.
Examples
queue <- create_queue(
date = c("200722"),
instrument = c("EX1"),
user = c("jquast"),
measurement_type = c("DIA"),
experiment_name = c("JPQ031"),
digestion = c("LiP", "tryptic control"),
treatment_type_1 = c("EDTA", "H2O"),
treatment_type_2 = c("Zeba", "unfiltered"),
treatment_dose_1 = c(10, 30, 60),
treatment_unit_1 = c("min"),
n_replicates = 4,
number_runs = FALSE,
organism = c("E. coli"),
exclude_combinations = list(list(
treatment_type_1 = c("H2O"),
treatment_type_2 = c("Zeba", "unfiltered"),
treatment_dose_1 = c(10, 30)
)),
inj_vol = c(2),
data_path = "D:\\2007_Data",
method_path = "C:\\Xcalibur\\methods\\DIA_120min",
position_row = c("A", "B", "C", "D", "E", "F"),
position_column = 8,
blank_every_n = 4,
blank_position = "1-V1",
blank_method_path = "C:\\Xcalibur\\methods\\blank"
)
head(queue, n = 20)
randomised_queue <- randomise_queue(
data = queue,
export = FALSE
)
head(randomised_queue, n = 20)