LTPDA Toolbox™

Method ao/qqplot

  QQPLOT makes quantile-quantile plot
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
  DESCRIPTION: Make quantile-quantile plot and calculate confidence
  intervals on the basis of the Kolmogorov-Smirnov test.
 
  CALL:         qqplot(a, pl)
  
  INPUT:        a: are real valued AO
 
 
  Parameters Description
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Method Details
Access	public
Defining Class	ao
Sealed	0
Static	0

Parameter Description

Sets for this method …
empirical
normal
chi2
f
gamma

empirical
no description
Key	Default Value	Options	Description
qqplot
TESTDISTRIBUTION	'EMPIRICAL'	'EMPIRICAL' 'NORMAL' 'CHI2' 'F' 'GAMMA'	test data are compared with the giventest distribution. Available choices are: EMPIRICAL test the all the input object (starting from the second) against the first object. NORMAL test all the input objects against the Normal distribution CHI2 test all the input objects against the Chi square distribution F test all the input objects against the F distribution GAMMA test all the input objects against the Gamma distribution
CONFLEVEL	0.94999999999999996	none	Confidence level for confidence interval calculations.
SHAPEPARAM	1	none	In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length.
FONTSIZE	22	none	Font size for axis
LINEWIDTH	2	none	Line Width

Example
plist('TESTDISTRIBUTION', 'EMPIRICAL', 'CONFLEVEL', [0.94999999999999996], 'SHAPEPARAM', [1], 'FONTSIZE', [22], 'LINEWIDTH', [2])

normal
no description
Key	Default Value	Options	Description
qqplot
TESTDISTRIBUTION	'EMPIRICAL'	'EMPIRICAL' 'NORMAL' 'CHI2' 'F' 'GAMMA'	test data are compared with the giventest distribution. Available choices are: EMPIRICAL test the all the input object (starting from the second) against the first object. NORMAL test all the input objects against the Normal distribution CHI2 test all the input objects against the Chi square distribution F test all the input objects against the F distribution GAMMA test all the input objects against the Gamma distribution
CONFLEVEL	0.94999999999999996	none	Confidence level for confidence interval calculations.
SHAPEPARAM	1	none	In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length.
FONTSIZE	22	none	Font size for axis
LINEWIDTH	2	none	Line Width
MEAN	0	none	The mean of the normal distribution
STD	1	none	The standard deviation of the normal distribution

Example
plist('TESTDISTRIBUTION', 'EMPIRICAL', 'CONFLEVEL', [0.94999999999999996], 'SHAPEPARAM', [1], 'FONTSIZE', [22], 'LINEWIDTH', [2], 'MEAN', [0], 'STD', [1])

chi2
no description
Key	Default Value	Options	Description
qqplot
TESTDISTRIBUTION	'EMPIRICAL'	'EMPIRICAL' 'NORMAL' 'CHI2' 'F' 'GAMMA'	test data are compared with the giventest distribution. Available choices are: EMPIRICAL test the all the input object (starting from the second) against the first object. NORMAL test all the input objects against the Normal distribution CHI2 test all the input objects against the Chi square distribution F test all the input objects against the F distribution GAMMA test all the input objects against the Gamma distribution
CONFLEVEL	0.94999999999999996	none	Confidence level for confidence interval calculations.
SHAPEPARAM	1	none	In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length.
FONTSIZE	22	none	Font size for axis
LINEWIDTH	2	none	Line Width
DOF	2	none	Degrees of freedom of the chi square distribution

Example
plist('TESTDISTRIBUTION', 'EMPIRICAL', 'CONFLEVEL', [0.94999999999999996], 'SHAPEPARAM', [1], 'FONTSIZE', [22], 'LINEWIDTH', [2], 'DOF', [2])

f
no description
Key	Default Value	Options	Description
qqplot
TESTDISTRIBUTION	'EMPIRICAL'	'EMPIRICAL' 'NORMAL' 'CHI2' 'F' 'GAMMA'	test data are compared with the giventest distribution. Available choices are: EMPIRICAL test the all the input object (starting from the second) against the first object. NORMAL test all the input objects against the Normal distribution CHI2 test all the input objects against the Chi square distribution F test all the input objects against the F distribution GAMMA test all the input objects against the Gamma distribution
CONFLEVEL	0.94999999999999996	none	Confidence level for confidence interval calculations.
SHAPEPARAM	1	none	In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length.
FONTSIZE	22	none	Font size for axis
LINEWIDTH	2	none	Line Width
DOF1	2	none	First degree of freedom of the F distribution
DOF2	2	none	Second degree of freedom of the F distribution

Example
plist('TESTDISTRIBUTION', 'EMPIRICAL', 'CONFLEVEL', [0.94999999999999996], 'SHAPEPARAM', [1], 'FONTSIZE', [22], 'LINEWIDTH', [2], 'DOF1', [2], 'DOF2', [2])

gamma
no description
Key	Default Value	Options	Description
qqplot
TESTDISTRIBUTION	'EMPIRICAL'	'EMPIRICAL' 'NORMAL' 'CHI2' 'F' 'GAMMA'	test data are compared with the giventest distribution. Available choices are: EMPIRICAL test the all the input object (starting from the second) against the first object. NORMAL test all the input objects against the Normal distribution CHI2 test all the input objects against the Chi square distribution F test all the input objects against the F distribution GAMMA test all the input objects against the Gamma distribution
CONFLEVEL	0.94999999999999996	none	Confidence level for confidence interval calculations.
SHAPEPARAM	1	none	In the case of comparison of a data series with atheoretical distribution and the data series is composed of correlatedelements. K can be adjusted with a shape parameter in order to recovertest fairness [3]. In such a case the test is performed for K* = Phi * K.Phi is the corresponding Shape parameter. The shape parameter depends onthe correlations and on the significance value. It does not depend ondata length.
FONTSIZE	22	none	Font size for axis
LINEWIDTH	2	none	Line Width
SHAPE	2	none	Shape parameter (k) of the Gamma distribution
SCALE	2	none	Scale parameter (theta) of the Gamma distribution

Example
plist('TESTDISTRIBUTION', 'EMPIRICAL', 'CONFLEVEL', [0.94999999999999996], 'SHAPEPARAM', [1], 'FONTSIZE', [22], 'LINEWIDTH', [2], 'SHAPE', [2], 'SCALE', [2])

Some information of the method ao/qqplot are listed below:
Class name	ao
Method name	qqplot
Category	Signal Processing
Package name	ltpda
VCS Version	967b0eec0dece803a81af8ef54ad2f8c784b20b2
Min input args	1
Max input args	-1
Min output args	1
Max output args	-1
Can be used as modifier	1
Supported numeric types	{'double'}

Method: ao/psdvfit

Method: ao/removeVal

Method ao/qqplot

Parameter Description

empirical

Example

normal

Example

chi2

Example

f

Example

gamma

Example