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## org.statcato.graph
Class GraphFactory

    java.lang.Object
      org.statcato.graph.GraphFactory

    public class GraphFactory

extends java.lang.Object

Fumnctions for generating graphs.

Since:
  1.0
Version:
  %I%, %G%
Author:
  Margaret Yau
See Also:
  `org.jfree.chart`

Field Summary
`static java.awt.Color[]` | `COLORS`
`static int` | `REG_CUBIC` Cubic regression
`static int` | `REG_EXP` Exponential regression
`static int` | `REG_FIXEDPOW` Fixed power regression
`static int` | `REG_LIN` Linear regression
`static int` | `REG_LOG` Logarithmic regression
`static int` | `REG_NONE` No regression
`static int` | `REG_POLY` Polynomial regression
`static int` | `REG_POW` Power regression
`static int` | `REG_QUAD` Quadratic regression

Constructor Summary
`GraphFactory()`

Method Summary
`static java.util.Vector<java.lang.Double>` | `computeRegressionCoeff(java.util.Vector<java.lang.Double> xVector, java.util.Vector<java.lang.Double> yVector, int regressionType, double regressionArg)` Computes the regression coefficients for the given vectors and regression type.
`static org.jfree.chart.JFreeChart` | `createBoxPlot(org.jfree.data.statistics.DefaultBoxAndWhiskerCategoryDataset dataset, java.lang.String title, java.lang.String xLabel, java.lang.String yLabel, boolean showLegend, boolean horizontal)` Creates a box plot.
`static org.jfree.chart.JFreeChart` | `createNormalQuantilePlot(java.util.Vector<java.lang.Double> YColumnVector, java.lang.String title, java.lang.String xLabel, java.lang.String yLabel, boolean isDataOnXAxis, boolean showRegressionLine)` Creates a normal quantile plot.
`static org.jfree.chart.JFreeChart` | `createScatterplot(org.jfree.data.xy.XYSeriesCollection seriesCollection, java.lang.String title, java.lang.String xLabel, java.lang.String yLabel, boolean showLegend, boolean showRegression, double min, double max)` Creates a scatterplot.
`static org.jfree.chart.JFreeChart` | `createScatterplot(org.jfree.data.xy.XYSeriesCollection seriesCollection, java.lang.String title, java.lang.String xLabel, java.lang.String yLabel, boolean showLegend, int regressionType, double regressionArg, double min, double max)` Creates a scatterplot.

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Field Detail

### REG_NONE

    public static final int REG_NONE

  No regression

  See Also:
    Constant Field Values

### REG_LIN

    public static final int REG_LIN

  Linear regression

  See Also:
    Constant Field Values

### REG_QUAD

    public static final int REG_QUAD

  Quadratic regression

  See Also:
    Constant Field Values

### REG_CUBIC

    public static final int REG_CUBIC

  Cubic regression

  See Also:
    Constant Field Values

### REG_POLY

    public static final int REG_POLY

  Polynomial regression

  See Also:
    Constant Field Values

### REG_LOG

    public static final int REG_LOG

  Logarithmic regression

  See Also:
    Constant Field Values

### REG_POW

    public static final int REG_POW

  Power regression

  See Also:
    Constant Field Values

### REG_FIXEDPOW

    public static final int REG_FIXEDPOW

  Fixed power regression

  See Also:
    Constant Field Values

### REG_EXP

    public static final int REG_EXP

  Exponential regression

  See Also:
    Constant Field Values

### COLORS

    public static final java.awt.Color[] COLORS

Constructor Detail

### GraphFactory

    public GraphFactory()

Method Detail

### createNormalQuantilePlot

    public static org.jfree.chart.JFreeChart createNormalQuantilePlot(java.util.Vector<java.lang.Double> YColumnVector,
                                                                      java.lang.String title,
                                                                      java.lang.String xLabel,
                                                                      java.lang.String yLabel,
                                                                      boolean isDataOnXAxis,
                                                                      boolean showRegressionLine)

  Creates a normal quantile plot.

  Parameters:
    `YColumnVector` - vector of data values
    `title` - chart title
    `xLabel` - x axis label
    `yLabel` - y axis label
    `isDataOnXAxis` - whether the data is on the x axis
    `showRegressionLine` - whether the regression line should be shown
  Returns:
    JFreeChart plot object

### createBoxPlot

    public static org.jfree.chart.JFreeChart createBoxPlot(org.jfree.data.statistics.DefaultBoxAndWhiskerCategoryDataset dataset,
                                                           java.lang.String title,
                                                           java.lang.String xLabel,
                                                           java.lang.String yLabel,
                                                           boolean showLegend,
                                                           boolean horizontal)

  Creates a box plot.

  Parameters:
    `dataset` - DefaultBoxAndWhisterCategoryDataset object
    `title` - plot title
    `xLabel` - x-axis label
    `yLabel` - y-axis label
    `showLegend` - whether the legend should be shown
    `horizontal` - whether the plot is horizontal
  Returns:
    JFreeChart plot object

### createScatterplot

    public static org.jfree.chart.JFreeChart createScatterplot(org.jfree.data.xy.XYSeriesCollection seriesCollection,
                                                               java.lang.String title,
                                                               java.lang.String xLabel,
                                                               java.lang.String yLabel,
                                                               boolean showLegend,
                                                               int regressionType,
                                                               double regressionArg,
                                                               double min,
                                                               double max)

  Creates a scatterplot.

  Parameters:
    `seriesCollection` - XYSeriesCollection containing the data series
    `title` - chart title
    `xLabel` - x-axis label
    `yLabel` - y-axis label
    `showLegend` - whether the legend should be shown
    `showRegression` - whether a regression line should be shown
    `min` - minimum x value
    `max` - maximum x value
  Returns:

### computeRegressionCoeff

    public static java.util.Vector<java.lang.Double> computeRegressionCoeff(java.util.Vector<java.lang.Double> xVector,
                                                                            java.util.Vector<java.lang.Double> yVector,
                                                                            int regressionType,
                                                                            double regressionArg)

  Computes the regression coefficients for the given vectors and regression type.

  Parameters:
    `xVector` - vector of x (independent)values
    `yVector` - vector of y (dependent) values
    `regressionType` - type of regression
    `regressionArg` - arguments for specific types of regression
  Returns:
    vector of regression coefficients

### createScatterplot

    public static org.jfree.chart.JFreeChart createScatterplot(org.jfree.data.xy.XYSeriesCollection seriesCollection,
                                                               java.lang.String title,
                                                               java.lang.String xLabel,
                                                               java.lang.String yLabel,
                                                               boolean showLegend,
                                                               boolean showRegression,
                                                               double min,
                                                               double max)

  Creates a scatterplot.

  Parameters:
    `seriesCollection` - XYSeriesCollection containing the data series
    `title` - chart title
    `xLabel` - x-axis label
    `yLabel` - y-axis label
    `showLegend` - whether the legend should be shown
    `showRegression` - whether a regression line should be shown
    `min` - minimum x value
    `max` - maximum x value
  Returns:

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