Nothing
lum_import_fluor <- function(x){
ncol <- max(count.fields(x, sep=","),na.rm=TRUE)
raw_file <- read.table(x, header = FALSE, sep = ",",
col.names = paste0("V",seq_len(ncol)), fill = TRUE)
srow <- as.numeric(rownames(raw_file[raw_file[,1]=="Results",] ))
raw_metadata <- raw_file[1:(srow-1),]
name_batch <- as.character(raw_metadata[raw_metadata[,1]=="Batch",2])
name_batch <- fix_name(name_batch)
srow <- as.numeric(rownames(raw_file[raw_file[,1]=="DataType:",] ))
lastblock <- as.numeric(rownames(raw_file[raw_file[,1]=="-- CRC --",] ))
if(length(lastblock)==0) lastblock <- nrow(raw_file)+1
snames <- as.character(raw_file[srow,2])
srow <- c(srow, lastblock)
i <- 1:(length(srow)-1)
data_type_blocks <- lapply(i,
function(x) raw_file[(srow[x]+1):(srow[x+1]-1),])
names(data_type_blocks) <- snames
dtblock <- lapply(data_type_blocks, function(x) define_data(x))
for(i in 1:length(snames)){
attr(dtblock[[snames[i]]],"type_results_data") <- snames[i]
}
for(i in 1:length(snames)){
attr(dtblock[[snames[i]]],"batch_name") <- name_batch
}
for(i in 1:length(snames)){
auxdf <- dtblock[[snames[i]]]
auxdf <- subset(auxdf, auxdf[,1]!="")
dtblock[[snames[i]]] <- auxdf
}
crc_value <- as.character(raw_file[nrow(raw_file),1])
if(crc_value=="Value") crc_value <- "not_in_file"
raw_metadata$crc <- crc_value
well_vars <- c("Median","Net MFI","Count","Result",
"Range","% Recovery","Comments")
scurve_vars <- c("Analysis Coefficients","R^2")
average_vars <- c("Avg Net MFI","Avg Result","Avg Range",
"%CV Replicates","Standard Expected Concentration")
batch_vars <- c("Program","Build","Date","SN","Batch","Version",
"Operator","ComputerName","Country Code",
"ProtocolName","ProtocolVersion","ProtocolDescription",
"ProtocolDevelopingCompany","SampleVolume","DDGate",
"SampleTimeout","BatchStartTime","BatchStopTime")
region_vars <- c("Units")
sample_vars <- c("Dilution Factor")
well_vars <- well_vars[well_vars%in%names(dtblock)]
scurve_vars <- scurve_vars[scurve_vars%in%names(dtblock)]
average_vars <- average_vars[average_vars%in%names(dtblock)]
region_vars <- region_vars[region_vars%in%names(dtblock)]
sample_vars <- sample_vars[sample_vars%in%names(dtblock)]
ans <- list(dtblock = dtblock,
raw_metadata = raw_metadata,
well_vars = well_vars,
scurve_vars = scurve_vars,
average_vars = average_vars,
batch_vars = batch_vars,
name_batch = name_batch,
region_vars = region_vars,
sample_vars = sample_vars)
ans
}
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