This function reads a raw Fluidigm Biomark data file or set of files and constructs a SingleCellAssay (or FluigidmAssay) object. This was written c. 2011 and has not been tested lately. The Biomark format may have changed.
read.fluidigm(files = NULL, metadata = NULL, header.size = 2, skip = 8, cycle.threshold = 40, metadataColClasses = NULL, meta.key = NULL, idvars = NULL, splitby = NULL, unique.well.id = "Chamber.ID", raw = TRUE, assay = NULL, geneid = "Assay.Name", sample = NULL, well = "Well", measurement = "X40.Ct", measurement.processed = "Ct", ncells = "SampleRConc")
character vector of files to read.character path and filename of a CSV file containing additional metadata about the samplesnumeric indicating the number of lines in the header (default 2)numeric how many lines to skip before reading (default 8)numericcharacter vector giving the column classes of the metadata file. See read.table.character vector that identifies the key column between the metadata and the fluidigm datacharacter vector that defines the set of columns uniquely identifying a well (unique cell, gene, and condition).character that defines the column / variable used to split the resulting data into a list of SingleCellAssay, such that unique levels of splitby each fall into their own SingleCellAssay. Ususally the experimental unit subjected to different treatments.logical flag indicating this is raw data coming off the instrument. Thus we make some assumptions about the column names that are present.character name of a column that uniquely identifies an Assay (i.e. gene). Default is NULLcharacter names of the column that identifies a gene. Default is "Assay.Name"character name of a column that uniquely identifies a samplecharacter name of a column that uniquely identifies a well. Default "Well".character name of the column that holds the measurement. Default "X40.Ct".character one of "Ct","40-Ct", or "et". If not "Ct", the measurement will be transformed.list of SingleCellAssay holding the data.