void printData()
{
//The csv file will be named YEAR-MONTH-DAY_HOUR-MINUTE
string curDateTime = "practice_" + System.DateTime.Now.ToString("yyyy-MM-dd_HH-mm") + ".csv";
TextWriter write = new StreamWriter(curDateTime);
write.WriteLine("trial number,time,method,background,skipped?");
string isSkip;
for (int i = 0; i < totalTrials + skipCount; i++)
{
record r = times.getItem(i);
if (r.getSkip())
{
isSkip = "skipped";
}
else
{
isSkip = " ";
}
string mName = r.getMethodName().Replace("(clone)", "");
string bName = r.getBackgroundName().Replace("(clone)", "");
write.WriteLine(r.getNumber() + "," + r.getTime() + "," + mName + "," + bName + ", " + isSkip);
}
write.Close();
}
void printData()
{
//The csv file will be named YEAR-MONTH-DAY_HOUR-MINUTE
string curDateTime = System.DateTime.Now.ToString("yyyy-MM-dd_HH-mm") + ".csv";
TextWriter write = new StreamWriter(curDateTime);
write.WriteLine("trial number,time,method,background,skipped?,average,standard deviation");
record r = null;
string mName = "";
string bName = "";
string isSkip = "";
float curTime = 0.0f;
float curTotal = 0.0f;
int numTrials = 0;
float[] methodTrials = new float[subTrialCount * numBackgrounds];
for (int i = 0; i < totalTrials + skipCount; i++)
{
r = times.getItem(i);
curTime = r.getTime();
mName = r.getMethodName().Replace("(Clone)", "");
bName = r.getBackgroundName().Replace("(Clone)", "");
if (r.getSkip())
{
isSkip = "skipped";
}
else
{
isSkip = " ";
}
// If this trial wasn't skipped, add the time to the total and count it as a trial
if (!r.getSkip())
{
methodTrials[numTrials] = curTime;
curTotal += curTime;
numTrials++;
}
// Write the trial to the file (last two spots are the avg and std dev vals that get printed at the end of each method)
write.WriteLine(r.getNumber() + "," + r.getTime() + "," + mName + "," + bName + ", " + isSkip, " , , ");
// If that was the last trial for that method, print out the avg and std. dev and reset counters
if (numTrials == subTrialCount * numBackgrounds)
{
float stdDev = 0.0f;
float sumDiffSquared = 0.0f;
float mean = curTotal / numTrials;
for (int j = 0; j < subTrialCount * numBackgrounds; j++)
{
// Get the difference of the current time and the mean and square it.
sumDiffSquared += Mathf.Pow((methodTrials[j] - mean), 2);
}
//Complete the std dev. calculation with the sum of the squared differences
stdDev = Mathf.Sqrt(sumDiffSquared / (subTrialCount * numBackgrounds));
write.WriteLine(" , , , , ," + mean + "," + stdDev);
// Reset the counters
curTotal = 0.0f;
numTrials = 0;
}
}
write.Close();
}