def runNeEst(files, runFolder, locisampling, popsampling, regressConfig):
statsFile = ""
#create output folder
#run neEstimator
neFile = ""
#run lineregress
configVals = ResultScraper.configRead(regressConfig)
statsFile = LineRegress._neStatsHelper(
neFile,
configVals["alpha"],
outFileName=statsFile,
significantValue=configVals["sigSlope"],
firstVal=configVals["startData"])
return statsFile
def collectStatsData(neDict, statsDict, outFolder, regressConfig):
slopesName = "slopes.csv"
powerName = "power.csv"
neName = "Ne.csv"
statConfig = ResultScraper.configRead(regressConfig)
nePath = os.path.join(outFolder, neName)
neOut = open(nePath, "w")
neOut.write("parameters,replicate,Reproductive Cycle,Ne\n")
for identifier in neDict:
neFile = neDict[identifier]
neData = gatherNe(neFile, statConfig["startData"])
for datapoint in neData:
print(datapoint)
data = neData[datapoint]
print(data)
for point in data:
neOut.write(
str(identifier) + "," + str(datapoint) + "," +
str(point[0]) + "," + str(point[1]) + "\n")
neOut.close()
#compile stats file
slopePath = os.path.join(outFolder, slopesName)
powerPath = os.path.join(outFolder, powerName)
powerOut = open(powerPath, "w")
powerOut.write(
"parameters,Positive Slopes,Neutral Slopes, Negative Slopes, Total\n")
slopeOut = open(slopePath, "w")
slopeOut.write("parameters,Slope,Intercept,CI Slope Min,CI Slope Max\n")
for identifier in statsDict:
statsFile = statsDict[identifier]
power = gatherPower(statsFile)
slopes = gatherSlopes(statsFile)
sumPower = sum(power.values())
powerOut.write(
str(identifier) + "," + str(power["positive"]) + "," +
str(power["neutral"]) + "," + str(power["negative"]) + "," +
str(sumPower) + "\n")
for dataPoint in slopes:
slopeOut.write(
str(identifier) + "," + dataPoint["slope"] + "," +
dataPoint["intercept"] + "," + dataPoint["lowerCI"] + "," +
dataPoint["upperCI"] + "\n")
powerOut.close()
slopeOut.close()
def gatherSlopes(filename):
instanceArray, arrayDict = ResultScraper.scrapeSlopes(filename)
return instanceArray
def gatherPower(filename):
powerData = ResultScraper.scrapePower(filename)
return powerData
def gatherNe(fileName, firstVal):
results, temp = ResultScraper.scrapeNE(fileName, firstVal)
return results
def gatherSlopes(filename):
instanceArray, arrayDict = ResultScraper.scrapeSlopes(filename)
return instanceArray
def gatherPower(filename):
powerData = ResultScraper.scrapePower(filename)
return powerData
def gatherNe(fileName,firstVal):
results, temp = ResultScraper.scrapeNE(fileName,firstVal)
return results
