smile.plot

Class QQPlot

java.lang.Object

smile.plot.Shape

smile.plot.Plot

smile.plot.QQPlot

public class QQPlot
extends Plot

A Q-Q plot ("Q" stands for quantile) is a probability plot, a kind of graphical method for comparing two probability distributions, by plotting their quantiles against each other. In addition, Q-Q plots can be used as a graphical means of estimating parameters in a location-scale family of distributions.

Constructor Summary

Constructors

Constructor and Description
QQPlot(double[] x) Constructor of one sample Q-Q plot to standard normal distribution.
QQPlot(double[] x, smile.stat.distribution.Distribution d) Constructor of one sample Q-Q plot to given distribution.
QQPlot(double[] x, double[] y) Constructor of two sample Q-Q plot.
QQPlot(int[] x, smile.stat.distribution.DiscreteDistribution d) Constructor of one sample Q-Q plot to given distribution.
QQPlot(int[] x, int[] y) Constructor of two sample Q-Q plot.

Method Summary

Modifier and Type	Method and Description
void	paint(Graphics g) Draw the component with given graphics object.
static PlotCanvas	plot(double[] x) Create a plot canvas with the one sample Q-Q plot to standard normal distribution.
static PlotCanvas	plot(double[] x, smile.stat.distribution.Distribution d) Create a plot canvas with the one sample Q-Q plot to given distribution.
static PlotCanvas	plot(double[] x, double[] y) Create a plot canvas with the two sample Q-Q plot.
static PlotCanvas	plot(int[] x, smile.stat.distribution.DiscreteDistribution d) Create a plot canvas with the one sample Q-Q plot to given distribution.
static PlotCanvas	plot(int[] x, int[] y) Create a plot canvas with the two sample Q-Q plot.

Methods inherited from class smile.plot.Plot

getID, getToolBar, getToolTip, setID

Methods inherited from class smile.plot.Shape

getColor, setColor

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

QQPlot

public QQPlot(double[] x)

Constructor of one sample Q-Q plot to standard normal distribution.

QQPlot

public QQPlot(double[] x,
              smile.stat.distribution.Distribution d)

Constructor of one sample Q-Q plot to given distribution.

QQPlot

public QQPlot(int[] x,
              smile.stat.distribution.DiscreteDistribution d)

Constructor of one sample Q-Q plot to given distribution.

QQPlot

public QQPlot(double[] x,
              double[] y)

Constructor of two sample Q-Q plot.

QQPlot

public QQPlot(int[] x,
              int[] y)

Constructor of two sample Q-Q plot.

Method Detail

paint

public void paint(Graphics g)

Description copied from class: Shape

Draw the component with given graphics object.

Specified by:

paint in class Shape

plot

public static PlotCanvas plot(double[] x)

Create a plot canvas with the one sample Q-Q plot to standard normal distribution. The x-axis is the quantiles of x and the y-axis is the quantiles of normal distribution.

Parameters:

x - a sample set.

plot

public static PlotCanvas plot(double[] x,
                              smile.stat.distribution.Distribution d)

Create a plot canvas with the one sample Q-Q plot to given distribution. The x-axis is the quantiles of x and the y-axis is the quantiles of given distribution.

Parameters:

x - a sample set.

d - a distribution.

plot

public static PlotCanvas plot(double[] x,
                              double[] y)

Create a plot canvas with the two sample Q-Q plot. The x-axis is the quantiles of x and the y-axis is the quantiles of y.

Parameters:

x - a sample set.

y - a sample set.

plot

public static PlotCanvas plot(int[] x,
                              smile.stat.distribution.DiscreteDistribution d)

Create a plot canvas with the one sample Q-Q plot to given distribution. The x-axis is the quantiles of x and the y-axis is the quantiles of given distribution.

Parameters:

x - a sample set.

d - a distribution.

plot

public static PlotCanvas plot(int[] x,
                              int[] y)

Create a plot canvas with the two sample Q-Q plot. The x-axis is the quantiles of x and the y-axis is the quantiles of y.

Parameters:

x - a sample set.

y - a sample set.