View source: R/flowSet2LongDf.R
flowSet2LongDf | R Documentation |
This function is mainly used for compatibility with matrix-based clustering algorithms, such as depeche in the DepecheR package.
flowSet2LongDf(flowObj, idInfo)
flowObj |
The flowSet or flowFrame to be converted to a dataframe. |
idInfo |
A list of any number of characteristics that can be derived from the file names. For each entry, a gsub specification of where to find the information in the file name should be added, such as id=""..._|..."". |
A long data frame with one column per PMT/APD (or fluorochrome, depending on the state of the imported files), one for the acquisition date (for fcs files) and one colum for each specified slot above. If no gsub-pattern is provided, only a single column with the full file name will be used to separate the observations from each file.
depeche
#' # Load uncompensated data
data(fullPanel)
# Load the spectral unmixing matrix generated with controls from the same
# experiment. These can be generated using the specMatCalc function.
data(specMat)
# Now unmix
fullPanelUnmix <- specUnmix(fullPanel, specMat)
# Transform all fluorescent channels
fullPanelTrans <- arcTrans(fullPanelUnmix,
transNames = colnames(fullPanelUnmix)[6:18])
# This function is primarily meant to be used with flowSets.
# If we had only one flowFrame, we could just extract the data by
# the use of the flowCore function exprs(), so we will convert the data to a
# flowSet now.
library(flowCore)
fullPanelFs <- flowSet(fullPanelTrans)
# Before converting to a dataframe it is important to get an idea of the
# structure of the names, to be able to extract meaningful parts of the name.
# Here, we have an exceptional case again, as the flowSet has just been
# created, so there is actually no meaningful name of the flowFrame inside
# it. So for example reasons, we will give it one now:
sampleNames(fullPanelFs) <- "PBMC_full_panel_d1.fcs"
# And now, we generate the dataframe:
fullPanelDf <- flowSet2LongDf(fullPanelFs, idInfo =
list("Tissue" = "|_full_panel_..\\.fcs",
"Donor" = "...._full_panel_|\\.fcs"))
# This is the result
str(fullPanelDf)
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