List of median() Examples

Examples of median()

benchmarks.benchmarker.BenchmarkResults.median()
flanagan.analysis.Stat.median()
fork.lib.math.applied.stat.Distribution.median()
median. @return median
org.apache.hadoop.hbase.client.coprocessor.AggregationClient.median()
This is the client side interface/handler for calling the median method for a given cf-cq combination. This method collects the necessary parameters to compute the median and returns the median. @param tableName @param ci @param scan @return R the median @throws Throwable
prefuse.data.util.Index.median()
Get the row (or one of the rows) with the median data value. @return a row with a median data value

Examples of flanagan.analysis.Stat.median()

                double[] hold = new double[this.numberOfRows];
                for(int j=0; j<this.numberOfRows; j++){
                    hold[i] = this.matrix[j][i];
                }
                Stat st = new Stat(hold);
                medians[i] = st.median();
            }


            return medians;
        }

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Examples of flanagan.analysis.Stat.median()


            for(int i=1; i<this.numberOfRows; i++){
                st.concatenate(this.matrix[i]);
            }


            return st.median();
        }


        // Returns medians of the rows
        public double[] rowMedians(){
            double[] medians = new double[this.numberOfRows];

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Examples of flanagan.analysis.Stat.median()

        // Returns medians of the rows
        public double[] rowMedians(){
            double[] medians = new double[this.numberOfRows];
            for(int i=0; i<this.numberOfRows; i++){
                Stat st = new Stat(this.matrix[i]);
                medians[i] = st.median();
            }


            return medians;
        }

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Examples of flanagan.analysis.Stat.median()

                double[] hold = new double[this.numberOfRows];
                for(int j=0; j<this.numberOfRows; j++){
                    hold[i] = this.matrix[j][i];
                }
                Stat st = new Stat(hold);
                medians[i] = st.median();
            }


            return medians;
        }

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Examples of flanagan.analysis.Stat.median()


        // Calculate standardized transformed data statistics
        Stat st3 = new Stat(this.transformedData);
        this.standardizedTransformedMinimum = st3.minimum();
        this.standardizedTransformedMaximum = st3.maximum();
        this.standardizedTransformedMedian = st3.median();
        this.standardizedTransformedRange = this.standardizedTransformedMaximum - this.standardizedTransformedMinimum;
        this.standardizedTransformedMean = 0.0;
        this.standardizedTransformedStandardDeviation = 1.0;
        this.standardizedTransformedVariance = 1.0;
        this.standardizedTransformedMomentSkewness = st3.momentSkewness();

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Examples of flanagan.analysis.Stat.median()


        // Calculate transformed data statistics
        Stat st2 = new Stat(scaledTransformedData);
        this.transformedMinimum = st2.minimum();
        this.transformedMaximum = st2.maximum();
        this.transformedMedian = st2.median();
        this.transformedRange = this.transformedMaximum - this.transformedMinimum;
        this.transformedMean = st2.mean();
        this.transformedStandardDeviation = st2.standardDeviation();
        this.transformedVariance = st2.variance();
        this.transformedMomentSkewness = st2.momentSkewness();

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Examples of fork.lib.math.applied.stat.Distribution.median()

}
    
    
public static void subtractBackground(Distribution dis, File f, File outSub, double rat)throws Exception { 
    Distribution dislow= dis.subsetLowerThan(dis.quantileBoundaries(100).get(99));
    double med= dislow.median();
    double sd= dislow.standartDeviation();
    double thr= med+ sd* rat;
    System.out.println("med: "+ med+"   sd: "+ sd+"     trh:"+ thr);

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Examples of fork.lib.math.applied.stat.Distribution.median()

        }
    }
    out= out.substring(0, out.length()-1);
    out+=")";
    out+="\nmu:"+dis.mean()+"   zero:"+ (double)dis.subsetLowerOrEqualTo(0).size()/dis.size()
            +"  me:"+dis.median()+"   s:"+dis.standartDeviation();
    return out;
}

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Examples of fork.lib.math.applied.stat.Distribution.median()

    




public static void normalise(LandscapeBuilder lb, File f, String tit) throws Exception{
    Distribution d= lb.getDistribution();
    double fac= (double)Math.ceil( d.median() * 1.75);
    new LandscapeTransformer(lb).subtract(fac);
    System.out.println("subfac: "+fac);
    
    Distribution dnz= lb.getDistributionNonZero();
    double nf= dnz.sum()/ 100000000;

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Examples of fork.lib.math.applied.stat.Distribution.median()


    
public void subtract2()throws Exception { 
    Distribution dis= new BedGraphBuffer(outSub).getDistributionNonZero();
    dis= dis.subsetLowerThan(dis.quantileBoundaries(10).get(7));
    double med= dis.median();
    double sd= dis.standartDeviation();
    double thr= med+ sd* 2;
    System.out.println("med: "+ med+"   sd: "+ sd+"     "+ thr);


    BufferedWriter bw= new BufferedWriter(new FileWriter(outSub2));

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