public Class Stats

Class Inheritance

extends Object

java.lang.Object
org.antlr.runtime.misc.Stats

Imports

Stats routines needed by profiler etc... // note that these routines return 0.0 if no values exist in the X[] // which is not "correct", but it is useful so I don't generate NaN // in my output

Field Summary

Modifier and Type	Field and Description
public static final String	ANTLRWORKS_DIR

Constructor Summary

Access	Constructor and Description
public	Stats()

Method Summary

Modifier and Type	Method and Description
public static double	avg(int[] X) Compute the sample mean
public static double	avg(List<Integer> X) Compute the sample mean
public static String	getAbsoluteFileName(String filename)
public static int	max(int[] X)
public static int	max(List<Integer> X)
public static int	min(int[] X)
public static int	min(List<Integer> X)
public static double	stddev(int[] X) Compute the sample (unbiased estimator) standard deviation following: Computing Deviations: Standard Accuracy Tony F. Chan and John Gregg Lewis Stanford University Communications of ACM September 1979 of Volume 22 the ACM Number 9 The "two-pass" method from the paper; supposed to have better numerical properties than the textbook summation/sqrt.
public static int	sum(int[] X)
public static void	writeReport(String filename, String data)

Inherited from java.lang.Object:: clone equals finalize getClass hashCode notify notifyAll toString wait wait wait

Field Detail

ANTLRWORKS_DIR	back to summary
public static final String ANTLRWORKS_DIR

Constructor Detail

Stats	back to summary
public Stats()

Method Detail

avg	back to summary
public static double avg(int[] X) Compute the sample mean

avg	back to summary
public static double avg(List<Integer> X) Compute the sample mean

getAbsoluteFileName	back to summary
public static String getAbsoluteFileName(String filename)

max	back to summary
public static int max(int[] X)

max	back to summary
public static int max(List<Integer> X)

min	back to summary
public static int min(int[] X)

min	back to summary
public static int min(List<Integer> X)

stddev	back to summary
public static double stddev(int[] X) Compute the sample (unbiased estimator) standard deviation following: Computing Deviations: Standard Accuracy Tony F. Chan and John Gregg Lewis Stanford University Communications of ACM September 1979 of Volume 22 the ACM Number 9 The "two-pass" method from the paper; supposed to have better numerical properties than the textbook summation/sqrt. To me this looks like the textbook method, but I ain't no numerical methods guy.

stddev

back to summary

public static double stddev(int[] X)

Compute the sample (unbiased estimator) standard deviation following: Computing Deviations: Standard Accuracy Tony F. Chan and John Gregg Lewis Stanford University Communications of ACM September 1979 of Volume 22 the ACM Number 9 The "two-pass" method from the paper; supposed to have better numerical properties than the textbook summation/sqrt. To me this looks like the textbook method, but I ain't no numerical methods guy.

sum	back to summary
public static int sum(int[] X)

writeReport	back to summary
public static void writeReport(String filename, String data) throws IOException