/**
* @param stream
* @throws IOException
*/
public void CombinedSeasonalityTest(HtmlStream stream) throws IOException {
stream.write(HtmlTag.HEADER1, h1, "Combined seasonality test").newLine();
switch (m_stests.getSummary()) {
case None:
stream.write("Identifiable seasonality not present", HtmlStyle.Bold, HtmlStyle.Danger);
break;
case ProbablyNone:
stream.write("Identifiable seasonality probably not present", HtmlStyle.Warning);
break;
case Present:
stream.write("Identifiable seasonality present", HtmlStyle.Success);
break;
}
stream.newLines(2);
}
/**
* @param stream
* @throws IOException
*/
@Override
public void write(HtmlStream stream) throws IOException {
if (m_si == null) {
stream.write("Series can't be tested");
return;
}
FKWTests(stream);
StableSeasonalityTest(stream);
EvolutionSeasonalityTest(stream);
CombinedSeasonalityTest(stream);
// ResidualSeasonality(stream);
}
/**
* @param stream
* @throws IOException
*/
public void EvolutionSeasonalityTest(HtmlStream stream) throws IOException {
stream.write(HtmlTag.HEADER1, h1, "Evolutive seasonality test").newLine();
SeasonalityTest stest = m_stests.getEvolutiveSeasonality();
stream.open(new HtmlTable(0, 400));
stream.open(HtmlTag.TABLEROW);
stream.write(new HtmlTableCell("", 100));
stream.write(new HtmlTableCell("Sum of squares", 100));
stream.write(new HtmlTableCell("Degrees of freedom", 100));
stream.write(new HtmlTableCell("Mean square", 100));
stream.close(HtmlTag.TABLEROW);
stream.open(HtmlTag.TABLEROW);
stream.write(new HtmlTableCell("Between years", 100, HtmlStyle.Italic));
stream.write(new HtmlTableCell(Double.toString(stest.getSSM()), 100));
stream.write(new HtmlTableCell(Double.toString(stest.getDFInterPeriod()), 100));
stream.write(
new HtmlTableCell(Double.toString(stest.getSSM() / stest.getDFInterPeriod()), 100));
stream.close(HtmlTag.TABLEROW);
stream.open(HtmlTag.TABLEROW);
stream.write(new HtmlTableCell("Error", 100, HtmlStyle.Italic));
stream.write(new HtmlTableCell(Double.toString(stest.getSSR()), 100));
stream.write(new HtmlTableCell(Double.toString(stest.getDFResidual()), 100));
stream.write(new HtmlTableCell(Double.toString(stest.getSSR() / stest.getDFResidual()), 100));
stream.close(HtmlTag.TABLE).newLines(2);
stream.write("Value: " + stest.getValue()).newLine();
stream.write("Distribution: " + stest.getDistribution().getDescription()).newLine();
stream
.write("PValue: " + df4.format(stest.getPValue()), RPValue(stest.getPValue(), 0.01, 0.05))
.newLine();
if (stest.getPValue() > 0.2) {
stream.write("No evidence of moving seasonality at the 20 per cent level").newLines(2);
} else if (stest.getPValue() < 0.05) {
stream
.write("Moving seasonality present at the 5 per cent level", HtmlStyle.Bold)
.newLines(2);
}
}
/**
* @param stream
* @throws IOException
*/
public void StableSeasonalityTest(HtmlStream stream) throws IOException {
stream
.write(HtmlTag.HEADER1, h1, "Test for the presence of seasonality assuming stability")
.newLine();
SeasonalityTest stest = m_stests.getStableSeasonality();
stream.open(new HtmlTable(0, 400));
stream.open(HtmlTag.TABLEROW);
stream.write(new HtmlTableCell("", 100));
stream.write(new HtmlTableCell("Sum of squares", 100));
stream.write(new HtmlTableCell("Degrees of freedom", 100));
stream.write(new HtmlTableCell("Mean square", 100));
stream.close(HtmlTag.TABLEROW);
stream.open(HtmlTag.TABLEROW);
stream.write(new HtmlTableCell("Between months", 100, HtmlStyle.Italic));
stream.write(new HtmlTableCell(Double.toString(stest.getSSM()), 100));
stream.write(new HtmlTableCell(Double.toString(stest.getDFInterPeriod()), 100));
stream.write(
new HtmlTableCell(Double.toString(stest.getSSM() / stest.getDFInterPeriod()), 100));
stream.close(HtmlTag.TABLEROW);
stream.open(HtmlTag.TABLEROW);
stream.write(new HtmlTableCell("Residual", 100, HtmlStyle.Italic));
stream.write(new HtmlTableCell(Double.toString(stest.getSSR()), 100));
stream.write(new HtmlTableCell(Double.toString(stest.getDFResidual()), 100));
stream.write(new HtmlTableCell(Double.toString(stest.getSSR() / stest.getDFResidual()), 100));
stream.close(HtmlTag.TABLEROW);
stream.open(HtmlTag.TABLEROW);
stream.write(new HtmlTableCell("Total", 100, HtmlStyle.Italic));
stream.write(new HtmlTableCell(Double.toString(stest.getSSQ()), 100));
stream.write(new HtmlTableCell(Double.toString(stest.getDFTot()), 100));
stream.write(new HtmlTableCell(Double.toString(stest.getSSQ() / stest.getDFTot()), 100));
stream.close(HtmlTag.TABLEROW);
stream.close(HtmlTag.TABLE).newLine();
stream.write("Value: " + stest.getValue()).newLine();
stream.write("Distribution: " + stest.getDistribution().getDescription()).newLine();
stream.write("PValue: " + df4.format(stest.getPValue()), PValue(stest.getPValue())).newLine();
if (stest.getPValue() < 0.01) {
stream.write("Seasonality present at the 1 per cent level").newLines(2);
} else if (stest.getPValue() > 0.05) {
stream
.write("No evidence of seasonality at the 5 per cent level", HtmlStyle.Bold)
.newLines(2);
}
}
/**
* @param stream
* @throws IOException
*/
public void FKWTests(HtmlStream stream) throws IOException {
stream.write(HtmlTag.HEADER1, h1, "Non parametric tests for stable seasonality").newLine();
stream.write(HtmlTag.HEADER2, h2, "Friedman test").newLine();
stream.write("Friedman statistic = " + df4.format(m_ftest.getValue())).newLine();
stream.write("Distribution: " + m_ftest.getDistribution().toString()).newLine();
stream
.write("P-Value: ")
.write(df4.format(m_ftest.getPValue()), PValue(m_ftest.getPValue()))
.newLines(2);
if (m_ftest.getPValue() < 0.01) {
stream.write("Stable seasonality present at the 1 per cent level").newLines(2);
} else if (m_ftest.getPValue() > 0.05) {
stream.write("No evidence of stable seasonality at the 5 per cent level").newLines(2);
}
stream.write(HtmlTag.HEADER2, h2, "Kruskall-Wallis test").newLine();
KruskalWallisTest kw = m_stests.getNonParametricTestForStableSeasonality();
stream.write("Kruskall-Wallis statistic = " + Double.toString(kw.getValue())).newLine();
stream.write("Distribution: " + kw.getDistribution().toString()).newLine();
stream.write("P-Value: ").write(df4.format(kw.getPValue()), PValue(kw.getPValue())).newLine();
if (kw.getPValue() < 0.01) {
stream.write("Stable seasonality present at the 1 per cent level").newLines(2);
} else if (kw.getPValue() > 0.05) {
stream.write("No evidence of stable seasonality at the 5 per cent level").newLines(2);
}
}
