#' A function to read the values dbfile
#'
#' This function reads the dbfile for the values analysis. The dbfile contains key words and their values for the analysis.
#' @param filename the filename of the dbfile.
#' @keywords values dbfile read
#' @return a list with all the parameters
#' @export
#' @examples ch.readMoralsDBfile ("myDBfile.txt")
ch.readValuessDBfile <- function (filename = "valuesDBfile.txt") {
params<-read.table(filename,row.names=1,header = F,sep=",")
#### Filenames
valuesTaskDataFile <- as.character(params['valuesTaskDataFile',1])
valuesFilteredDataFile <- as.character(params['valuesFilteredDataFile',1])
removeBadSNFile <- as.character(params['removeBadSNFile',1])
bootstrapOutdataFile <- as.character(params['bootstrapOutdataFile',1])
itemSetDataFile <- as.character(params['itemSetDataFile',1])
itemStatsFile <- as.character(params['itemStatsFile',1])
statsOutputFilename <- as.character(params['statsOutputFilename',1])
######_____SET SWITCHES AND THRESHOLDS______######
minNumPerSide <- as.numeric(as.character(params['minNumPerSide',1]))
maxNumPerSide <- as.numeric(as.character(params['maxNumPerSide',1]))
lowRTthreshold <- as.numeric(as.character(params['lowRTthreshold',1]))
highRTthreshold <- as.numeric(as.character(params['highRTthreshold',1]))
minMedianRTthreshold <- as.numeric(as.character(params['minMedianRTthreshold',1]))
medianTrespThresh <- as.numeric(as.character(params['medianTrespThresh',1]))
keybRTtransform = as.character(params['keybRTtransform',1])
dt.set = as.character(params['dt.set',1])
numRuns <- as.numeric(as.character(params['numRuns',1]))
paramList <- list (
valuesTaskDataFile = valuesTaskDataFile,
valuesFilteredDataFile = valuesFilteredDataFile,
removeBadSNFile = removeBadSNFile,
bootstrapOutdataFile = bootstrapOutdataFile,
itemSetDataFile = itemSetDataFile,
itemStatsFile = itemStatsFile,
statsOutputFilename = statsOutputFilename,
minNumPerSide = minNumPerSide,
maxNumPerSide = maxNumPerSide,
lowRTthreshold = lowRTthreshold,
highRTthreshold = highRTthreshold,
minMedianRTthreshold = minMedianRTthreshold,
medianTrespThresh = medianTrespThresh,
keybRTtransform = keybRTtransform,
dt.set = dt.set,
numRuns = numRuns
)
return(paramList)
}
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