In this example, the getSamples()
method is used to generate five pseudorandom samples from the set of 150 observations of Fisher's iris data. The sampled indices are returned via getIndices()
.
import com.imsl.stat.*;
import com.imsl.math.PrintMatrix;
import com.imsl.math.PrintMatrixFormat;
public class RandomSamplesEx5 {
public static void main(String[] args) {
double[][] x = {
{5.1, 3.5, 1.4, 0.2}, {4.9, 3.0, 1.4, 0.2},
{4.7, 3.2, 1.3, 0.2}, {4.6, 3.1, 1.5, 0.2},
{5.0, 3.6, 1.4, 0.2}, {5.4, 3.9, 1.7, 0.4},
{4.6, 3.4, 1.4, 0.3}, {5.0, 3.4, 1.5, 0.2},
{4.4, 2.9, 1.4, 0.2}, {4.9, 3.1, 1.5, 0.1},
{5.4, 3.7, 1.5, 0.2}, {4.8, 3.4, 1.6, 0.2},
{4.8, 3.0, 1.4, 0.1}, {4.3, 3.0, 1.1, 0.1},
{5.8, 4.0, 1.2, 0.2}, {5.7, 4.4, 1.5, 0.4},
{5.4, 3.9, 1.3, 0.4}, {5.1, 3.5, 1.4, 0.3},
{5.7, 3.8, 1.7, 0.3}, {5.1, 3.8, 1.5, 0.3},
{5.4, 3.4, 1.7, 0.2}, {5.1, 3.7, 1.5, 0.4},
{4.6, 3.6, 1.0, 0.2}, {5.1, 3.3, 1.7, 0.5},
{4.8, 3.4, 1.9, 0.2}, {5.0, 3.0, 1.6, 0.2},
{5.0, 3.4, 1.6, 0.4}, {5.2, 3.5, 1.5, 0.2},
{5.2, 3.4, 1.4, 0.2}, {4.7, 3.2, 1.6, 0.2},
{4.8, 3.1, 1.6, 0.2}, {5.4, 3.4, 1.5, 0.4},
{5.2, 4.1, 1.5, 0.1}, {5.5, 4.2, 1.4, 0.2},
{4.9, 3.1, 1.5, 0.2}, {5.0, 3.2, 1.2, 0.2},
{5.5, 3.5, 1.3, 0.2}, {4.9, 3.6, 1.4, 0.1},
{4.4, 3.0, 1.3, 0.2}, {5.1, 3.4, 1.5, 0.2},
{5.0, 3.5, 1.3, 0.3}, {4.5, 2.3, 1.3, 0.3},
{4.4, 3.2, 1.3, 0.2}, {5.0, 3.5, 1.6, 0.6},
{5.1, 3.8, 1.9, 0.4}, {4.8, 3.0, 1.4, 0.3},
{5.1, 3.8, 1.6, 0.2}, {4.6, 3.2, 1.4, 0.2},
{5.3, 3.7, 1.5, 0.2}, {5.0, 3.3, 1.4, 0.2},
{7.0, 3.2, 4.7, 1.4}, {6.4, 3.2, 4.5, 1.5},
{6.9, 3.1, 4.9, 1.5}, {5.5, 2.3, 4.0, 1.3},
{6.5, 2.8, 4.6, 1.5}, {5.7, 2.8, 4.5, 1.3},
{6.3, 3.3, 4.7, 1.6}, {4.9, 2.4, 3.3, 1.0},
{6.6, 2.9, 4.6, 1.3}, {5.2, 2.7, 3.9, 1.4},
{5.0, 2.0, 3.5, 1.0}, {5.9, 3.0, 4.2, 1.5},
{6.0, 2.2, 4.0, 1.0}, {6.1, 2.9, 4.7, 1.4},
{5.6, 2.9, 3.6, 1.3}, {6.7, 3.1, 4.4, 1.4},
{5.6, 3.0, 4.5, 1.5}, {5.8, 2.7, 4.1, 1.0},
{6.2, 2.2, 4.5, 1.5}, {5.6, 2.5, 3.9, 1.1},
{5.9, 3.2, 4.8, 1.8}, {6.1, 2.8, 4.0, 1.3},
{6.3, 2.5, 4.9, 1.5}, {6.1, 2.8, 4.7, 1.2},
{6.4, 2.9, 4.3, 1.3}, {6.6, 3.0, 4.4, 1.4},
{6.8, 2.8, 4.8, 1.4}, {6.7, 3.0, 5.0, 1.7},
{6.0, 2.9, 4.5, 1.5}, {5.7, 2.6, 3.5, 1.0},
{5.5, 2.4, 3.8, 1.1}, {5.5, 2.4, 3.7, 1.0},
{5.8, 2.7, 3.9, 1.2}, {6.0, 2.7, 5.1, 1.6},
{5.4, 3.0, 4.5, 1.5}, {6.0, 3.4, 4.5, 1.6},
{6.7, 3.1, 4.7, 1.5}, {6.3, 2.3, 4.4, 1.3},
{5.6, 3.0, 4.1, 1.3}, {5.5, 2.5, 4.0, 1.3},
{5.5, 2.6, 4.4, 1.2}, {6.1, 3.0, 4.6, 1.4},
{5.8, 2.6, 4.0, 1.2}, {5.0, 2.3, 3.3, 1.0},
{5.6, 2.7, 4.2, 1.3}, {5.7, 3.0, 4.2, 1.2},
{5.7, 2.9, 4.2, 1.3}, {6.2, 2.9, 4.3, 1.3},
{5.1, 2.5, 3.0, 1.1}, {5.7, 2.8, 4.1, 1.3},
{6.3, 3.3, 6.0, 2.5}, {5.8, 2.7, 5.1, 1.9},
{7.1, 3.0, 5.9, 2.1}, {6.3, 2.9, 5.6, 1.8},
{6.5, 3.0, 5.8, 2.2}, {7.6, 3.0, 6.6, 2.1},
{4.9, 2.5, 4.5, 1.7}, {7.3, 2.9, 6.3, 1.8},
{6.7, 2.5, 5.8, 1.8}, {7.2, 3.6, 6.1, 2.5},
{6.5, 3.2, 5.1, 2.0}, {6.4, 2.7, 5.3, 1.9},
{6.8, 3.0, 5.5, 2.1}, {5.7, 2.5, 5.0, 2.0},
{5.8, 2.8, 5.1, 2.4}, {6.4, 3.2, 5.3, 2.3},
{6.5, 3.0, 5.5, 1.8}, {7.7, 3.8, 6.7, 2.2},
{7.7, 2.6, 6.9, 2.3}, {6.0, 2.2, 5.0, 1.5},
{6.9, 3.2, 5.7, 2.3}, {5.6, 2.8, 4.9, 2.0},
{7.7, 2.8, 6.7, 2.0}, {6.3, 2.7, 4.9, 1.8},
{6.7, 3.3, 5.7, 2.1}, {7.2, 3.2, 6.0, 1.8},
{6.2, 2.8, 4.8, 1.8}, {6.1, 3.0, 4.9, 1.8},
{6.4, 2.8, 5.6, 2.1}, {7.2, 3.0, 5.8, 1.6},
{7.4, 2.8, 6.1, 1.9}, {7.9, 3.8, 6.4, 2.0},
{6.4, 2.8, 5.6, 2.2}, {6.3, 2.8, 5.1, 1.5},
{6.1, 2.6, 5.6, 1.4}, {7.7, 3.0, 6.1, 2.3},
{6.3, 3.4, 5.6, 2.4}, {6.4, 3.1, 5.5, 1.8},
{6.0, 3.0, 4.8, 1.8}, {6.9, 3.1, 5.4, 2.1},
{6.7, 3.1, 5.6, 2.4}, {6.9, 3.1, 5.1, 2.3},
{5.8, 2.7, 5.1, 1.9}, {6.8, 3.2, 5.9, 2.3},
{6.7, 3.3, 5.7, 2.5}, {6.7, 3.0, 5.2, 2.3},
{6.3, 2.5, 5.0, 1.9}, {6.5, 3.0, 5.2, 2.0},
{6.2, 3.4, 5.4, 2.3}, {5.9, 3.0, 5.1, 1.8}
};
int nSamp = 5;
RandomSamples rs = new RandomSamples();
Random r = new Random(123457L);
r.setMultiplier(16807);
rs.setRandomObject(r);
double[][] samples = rs.getSamples(x, nSamp);
int[] idx = rs.getIndices();
PrintMatrix pm = new PrintMatrix("Random Samples");
PrintMatrixFormat mf = new PrintMatrixFormat();
mf.setNumberFormat(new java.text.DecimalFormat("0.0"));
mf.setNoColumnLabels();
pm.print(mf, samples);
pm = new PrintMatrix("Sampled Indices");
pm.print(mf, idx);
}
}
Random Samples
0 5.7 4.4 1.5 0.4
1 5.7 2.6 3.5 1.0
2 6.0 2.2 5.0 1.5
3 4.8 3.4 1.9 0.2
4 5.4 3.4 1.7 0.2
Sampled Indices
0 15.0
1 79.0
2 119.0
3 24.0
4 20.0
Link to Java source.