blob: dfd9994e6a34803041bee42db060d9b5761533f7 [file] [log] [blame]
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.
*/
package org.apache.solr.search.facet;
public class AggUtil {
private AggUtil() {
}
/**
* Computes and returns average for given sum and count
*/
public static double avg(double sum, long count) {
// todo: should we return NAN when count==0?
return count == 0? 0.0d: sum / count;
}
/**
* Computes and returns uncorrected standard deviation for given values
*/
public static double uncorrectedStdDev(double sumSq, double sum, long count) {
// todo: should we return NAN when count==0?
return count == 0 ? 0 : Math.sqrt((sumSq / count) - Math.pow(sum / count, 2));
}
/**
* Computes and returns corrected standard deviation for given values
*/
public static double stdDev(double sumSq, double sum, long count) {
// todo: should we return NAN when count==0?
return count == 0 ? 0 : Math.sqrt(((count * sumSq) - (sum * sum)) / (count * (count - 1.0D)));
}
/**
* Computes and returns uncorrected variance for given values
*/
public static double uncorrectedVariance(double sumSq, double sum, long count) {
// todo: should we return NAN when count==0?
return count == 0 ? 0 : (sumSq / count) - Math.pow(sum / count, 2);
}
/**
* Computes and returns corrected variance for given values
*/
public static double variance(double sumSq, double sum, long count) {
// todo: should we return NAN when count==0?
return count == 0 ? 0 : ((count * sumSq) - (sum * sum)) / (count * (count - 1.0D));
}
}