Home | History | Annotate | Download | only in libcpustats
      1 /*
      2  * Copyright (C) 2011 The Android Open Source Project
      3  *
      4  * Licensed under the Apache License, Version 2.0 (the "License");
      5  * you may not use this file except in compliance with the License.
      6  * You may obtain a copy of the License at
      7  *
      8  *      http://www.apache.org/licenses/LICENSE-2.0
      9  *
     10  * Unless required by applicable law or agreed to in writing, software
     11  * distributed under the License is distributed on an "AS IS" BASIS,
     12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     13  * See the License for the specific language governing permissions and
     14  * limitations under the License.
     15  */
     16 
     17 #include <stdlib.h>
     18 
     19 #include <cpustats/CentralTendencyStatistics.h>
     20 
     21 void CentralTendencyStatistics::sample(double x)
     22 {
     23     // update min and max
     24     if (x < mMinimum)
     25         mMinimum = x;
     26     if (x > mMaximum)
     27         mMaximum = x;
     28     // Knuth
     29     if (mN == 0) {
     30         mMean = 0;
     31     }
     32     ++mN;
     33     double delta = x - mMean;
     34     mMean += delta / mN;
     35     mM2 += delta * (x - mMean);
     36 }
     37 
     38 void CentralTendencyStatistics::reset()
     39 {
     40     mMean = NAN;
     41     mMedian = NAN;
     42     mMinimum = INFINITY;
     43     mMaximum = -INFINITY;
     44     mN = 0;
     45     mM2 = 0;
     46     mVariance = NAN;
     47     mVarianceKnownForN = 0;
     48     mStddev = NAN;
     49     mStddevKnownForN = 0;
     50 }
     51 
     52 double CentralTendencyStatistics::variance() const
     53 {
     54     double variance;
     55     if (mVarianceKnownForN != mN) {
     56         if (mN > 1) {
     57             // double variance_n = M2/n;
     58             variance = mM2 / (mN - 1);
     59         } else {
     60             variance = NAN;
     61         }
     62         mVariance = variance;
     63         mVarianceKnownForN = mN;
     64     } else {
     65         variance = mVariance;
     66     }
     67     return variance;
     68 }
     69 
     70 double CentralTendencyStatistics::stddev() const
     71 {
     72     double stddev;
     73     if (mStddevKnownForN != mN) {
     74         stddev = sqrt(variance());
     75         mStddev = stddev;
     76         mStddevKnownForN = mN;
     77     } else {
     78         stddev = mStddev;
     79     }
     80     return stddev;
     81 }
     82