process_file | R Documentation |
Perform process_plate
and generate_plate_report
for a given plate file.
In more detail, this function reads the plate file and calls the process_plate
on the processed plate objects across all the normalisation types, including the raw MFI values.
If the user has specified the generate_report
flag, it will also call the generate_plate_report
function
generating the quality control report.
process_file(
plate_filepath,
layout_filepath,
output_dir = "normalised_data",
format = "xPONENT",
generate_report = FALSE,
process_plate = TRUE,
normalisation_types = c("RAU", "nMFI"),
verbose = TRUE,
...
)
plate_filepath |
( |
layout_filepath |
( |
output_dir |
( |
format |
( |
generate_report |
( |
process_plate |
( |
normalisation_types |
( |
verbose |
( |
... |
Additional arguments to for the |
# Select an input csv file for processing and corresponding layout file
plate_file <- system.file("extdata", "CovidOISExPONTENT_CO_reduced.csv", package = "PvSTATEM")
layout_file <- system.file("extdata", "CovidOISExPONTENT_CO_layout.xlsx", package = "PvSTATEM")
example_dir <- tempdir(check = TRUE) # a temporary directory
# create and save dataframe with computed dilutions for all suported noramlization types
process_file(plate_file, layout_file, output_dir = example_dir)
example_dir2 <- tempdir(check = TRUE) # a temporary directory
# process the plate for a specific normalization type
process_file(plate_file, layout_file, output_dir = example_dir2, normalisation_types = c("RAU"))
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