Mega Code Archive
A numeric range has a high, low, mean, root-mean-square, standard deviation, and the count of how many samples
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/*
* Encog(tm) Core v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
import java.util.List;
/**
* A numeric range has a high, low, mean, root-mean-square, standard deviation,
* and the count of how many samples it contains.
*
*/
public class NumericRange {
/**
* Display to five decimal places.
*/
public static final int FIVE = 5;
/**
* The high number in the range.
*/
private final double high;
/**
* The low number in the range.
*/
private final double low;
/**
* The mean value.
*/
private final double mean;
/**
* The root mean square of the range.
*/
private final double rms;
/**
* The standard deviation of the range.
*/
private final double standardDeviation;
/**
* The number of values in this range.
*/
private final int samples;
/**
* Create a numeric range from a list of values.
*
* @param values
* The values to calculate for.
*/
public NumericRange(final List<Double> values) {
double assignedHigh = 0;
double assignedLow = 0;
double total = 0;
double rmsTotal = 0;
// get the mean and other 1-pass values.
for (final double d : values) {
assignedHigh = Math.max(assignedHigh, d);
assignedLow = Math.min(assignedLow, d);
total += d;
rmsTotal += d * d;
}
this.samples = values.size();
this.high = assignedHigh;
this.low = assignedLow;
this.mean = total / this.samples;
this.rms = Math.sqrt(rmsTotal / this.samples);
// now get the standard deviation
double devTotal = 0;
for (final double d : values) {
devTotal += Math.pow(d - this.mean, 2);
}
this.standardDeviation = Math.sqrt(devTotal / this.samples);
}
/**
* @return The high number in the range.
*/
public final double getHigh() {
return this.high;
}
/**
* @return The low number in the range.
*/
public final double getLow() {
return this.low;
}
/**
* @return The mean in the range.
*/
public final double getMean() {
return this.mean;
}
/**
* @return The root mean square of the range.
*/
public final double getRms() {
return this.rms;
}
/**
* @return The number of samples in the range.
*/
public final int getSamples() {
return this.samples;
}
/**
* @return The standard deviation of the range.
*/
public final double getStandardDeviation() {
return this.standardDeviation;
}
}
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