Example usage for org.apache.commons.math.stat.regression SimpleRegression getSlopeStdErr

Introduction

In this page you can find the example usage for org.apache.commons.math.stat.regression SimpleRegression getSlopeStdErr.

Prototype

public double getSlopeStdErr() 

Source Link

Document

Returns the <a href="http://www.xycoon.com/standerrorb(1).htm">standard error of the slope estimate</a>, usually denoted s(b1).

Usage

From source file:msc.fall2015.stock.kmeans.hbase.mapreduce.StockDataReaderMapper.java

public void map(ImmutableBytesWritable row, Result value, Context context)
        throws InterruptedException, IOException {
    SimpleRegression regression;
    for (Map.Entry<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> columnFamilyMap : value.getMap()
            .entrySet()) {//  w  w w.  ja v  a  2  s . c o m
        regression = new SimpleRegression();
        int count = 1;
        for (Map.Entry<byte[], NavigableMap<Long, byte[]>> entryVersion : columnFamilyMap.getValue()
                .entrySet()) {
            for (Map.Entry<Long, byte[]> entry : entryVersion.getValue().entrySet()) {
                String rowKey = Bytes.toString(value.getRow());
                String column = Bytes.toString(entryVersion.getKey());
                byte[] val = entry.getValue();
                String valOfColumn = new String(val);
                System.out.println(
                        "RowKey : " + rowKey + " Column Key : " + column + " Column Val : " + valOfColumn);
                if (!valOfColumn.isEmpty()) {
                    String[] priceAndCap = valOfColumn.split("_");
                    if (priceAndCap.length > 1) {
                        String pr = priceAndCap[0];
                        if (pr != null && !pr.equals("null")) {
                            double price = Double.valueOf(pr);
                            if (price < 0) {
                                price = price - 2 * price;
                            }
                            System.out.println("Price : " + price + " count : " + count);
                            regression.addData(count, price);
                        }
                    }
                }
            }
            count++;
        }
        // displays intercept of regression line
        System.out.println("Intercept : " + regression.getIntercept());

        // displays slope of regression line
        System.out.println("Slope : " + regression.getSlope());

        // displays slope standard error
        System.out.println("Slope STD Error : " + regression.getSlopeStdErr());
    }
}

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From source file:edu.indiana.soic.ts.crunch.CrunchDataReader.java

public PTable<String, String> extractText(PTable<ImmutableBytesWritable, Result> tableContent) {
    return tableContent.parallelDo("Read data",
            new DoFn<Pair<ImmutableBytesWritable, Result>, Pair<String, String>>() {
                @Override//  ww w. j a va  2  s  .c o  m
                public void process(Pair<ImmutableBytesWritable, Result> row,
                        Emitter<Pair<String, String>> emitter) {
                    SimpleRegression regression;
                    NavigableMap<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> map = row.second()
                            .getMap();
                    System.out.println(map.size());
                    for (Map.Entry<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> columnFamilyMap : map
                            .entrySet()) {
                        regression = new SimpleRegression();
                        int count = 1;
                        for (Map.Entry<byte[], NavigableMap<Long, byte[]>> entryVersion : columnFamilyMap
                                .getValue().entrySet()) {
                            for (Map.Entry<Long, byte[]> entry : entryVersion.getValue().entrySet()) {
                                String rowKey = Bytes.toString(row.second().getRow());
                                String column = Bytes.toString(entryVersion.getKey());
                                byte[] val = entry.getValue();
                                String valOfColumn = new String(val);
                                System.out.println("RowKey : " + rowKey + " Column Key : " + column
                                        + " Column Val : " + valOfColumn);
                                if (!valOfColumn.isEmpty()) {
                                    String[] priceAndCap = valOfColumn.split("_");
                                    if (priceAndCap.length > 1) {
                                        String pr = priceAndCap[0];
                                        if (pr != null && !pr.equals("null")) {
                                            double price = Double.valueOf(pr);
                                            if (price < 0) {
                                                price = price - 2 * price;
                                            }
                                            System.out.println("Price : " + price + " count : " + count);
                                            regression.addData(count, price);
                                        }
                                    }
                                }
                            }
                            count++;
                        }
                        // displays intercept of regression line
                        System.out.println("Intercept : " + regression.getIntercept());

                        // displays slope of regression line
                        System.out.println("Slope : " + regression.getSlope());

                        // displays slope standard error
                        System.out.println("Slope STD Error : " + regression.getSlopeStdErr());
                        emitter.emit(new Pair<String, String>(String.valueOf(regression.getIntercept()),
                                String.valueOf(regression.getSlope())));
                    }
                }
            }, Writables.tableOf(Writables.strings(), Writables.strings()));
}

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