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Description 

pctMethodNPlus = 0 

The 100pth percentile is computed as Zp = (1-d)X[k] + dX[k+1] where k+1 equals the integer part of P(n+1), d is the fractional part of p(n+1), and X[k-1] is the kth observation when the data are sorted from lowest to highest. 

pctMethodNMinus = 1 

The 100pth percentile is computed as Zp = (1-d)X[k] + dX[k+1] where k+1 equals the integer part of P(n-1)+1, d is the fractional part of p(n+1), and X[k-1] is the kth observation when the data are sorted from lowest to highest. 

pctMethodClosestN = 2 

The 100pth percentile is computed as Zp = X[k] where k+1 equals the integer that is closest to np and X[k-1] is the kth observation when the data are sorted from lowest to highest. 

pctMethodEDF = 3 

The 100pth percentile is computed as Zp = X[k] where k+1 equals the integer part of np if np is exactly an integer or the integer part of np+1 if np is not exactly an integer. X[k-1] is the kth observation when the data are sorted from lowest to highest. Note that EDF stands for empirical distribution function. 

pctMethodEDFAve = 4 

The 100pth percentile is computed as Zp = 0.5*(X[k1] + X[k2])y where k1 and k2 are defined as follows: If np is an integer, k1=k2=np. If np is not exactly an integer, k1 equals the integer part of np and k2 = k1+1. X[k-1] is the kth observation when the data are sorted from lowest to highest. Note that EDF stands for empirical distribution function.