| convert4aLFQ | R Documentation | 
This function selects the columns necessary for the aLFQ R package.
convert4aLFQ(data, annotation = TRUE, check_transitions = TRUE)
data | 
 A data frame containing the SWATH data in transition-level format  | 
annotation | 
 Option to indicate if the data has been annotated, i.e. if the columns Condition, Replicate, Run are present. If option is set to true it will write a new run_id as a string of the combination of these three columns.  | 
check_transitions | 
 Option if number of transitions should be checked. As input only transition-level data should be used and therefore this is checked. However, this makes the function slow and herewith be omitted.  | 
Returns a data frame in the appropriate format for aLFQ.
Peter Blattmann
{
 data("OpenSWATH_data", package="SWATH2stats")
 data("Study_design", package="SWATH2stats")
 data <- SWATH2stats::sample_annotation(OpenSWATH_data, Study_design, verbose=TRUE)
 data.filtered.decoy <- filter_mscore(data, 0.01)
 raw <- disaggregate(data.filtered.decoy)
 data.aLFQ <- convert4aLFQ(raw)
 }
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.