PerformanceStat (Ontopia)

java.lang.Object
- net.ontopia.topicmaps.viz.PerformanceStat

public class PerformanceStat
extends Object

Field Summary

Fields
Modifier and Type	Field	Description
`protected long`	`count`
`protected String`	`id`
`protected long`	`initTime`
`protected long`	`max`
`protected long`	`min`
`protected boolean`	`showIndividuals`
`protected long`	`startTime`
`protected long`	`sum`
`protected long`	`sumOfSquares`

Constructor Summary

Constructors
Constructor Description

PerformanceStat(String id)

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`init()`
`void`	`report()`
`void`	`setShowIndividuals(boolean showIndividuals)`
`static double`	`standardDev(long sum, long sumOfSquares, long count)`	Given the sum of the values, the sum of the squares of the values and the number of values in a collection numbers, calculates the standard deviation
`void`	`startOp()`
`void`	`stopOp()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

sum
```
protected long sum
```

sumOfSquares
```
protected long sumOfSquares
```

count
```
protected long count
```

min
```
protected long min
```

max
```
protected long max
```

initTime
```
protected long initTime
```

startTime
```
protected long startTime
```

id
```
protected String id
```

showIndividuals
```
protected boolean showIndividuals
```

Constructor Detail
- PerformanceStat
```
public PerformanceStat(String id)
```

Method Detail
- init
```
public void init()
```
- setShowIndividuals
```
public void setShowIndividuals(boolean showIndividuals)
```
- startOp
```
public void startOp()
```
- stopOp
```
public void stopOp()
```
- report
```
public void report()
```
- standardDev
```
public static double standardDev(long sum,
                                 long sumOfSquares,
                                 long count)
```
  Given the sum of the values, the sum of the squares of the values and the number of values in a collection numbers, calculates the standard deviation
  
  Parameters:
  
  sum - The sum of the values.
  
  sumOfSquares - The sum of the squares of the values.
  
  count - The number of values.
  
  Returns:
  
  The standard deviation of the values.