com.softwarefx.chartfx.server.statistical
Enum Analysis

java.lang.Object
  java.lang.Enum<Analysis>
      com.softwarefx.chartfx.server.statistical.Analysis

All Implemented Interfaces:

Serializable, Comparable<Analysis>

public enum Analysis
extends Enum<Analysis>

Analysis enumerations

Enum Constant Summary

COEFFICIENT_OF_DETERMINATION
Coefficient of Determiniation (SSR/SST).

COEFFICIENT_OF_VARIATION
The standard deviation divided by the mean.

COVARIANCE
The covariance of two features measures their tendency to vary together, i.e., to co-vary.

CP
Process Capability (Cp).

CPK
Process Capability Index (Cpk).

ERROR_BARS
Error bars are a graphic that visually represents the confidence interval around the mean value of the item.

IQR
Interquartile Range.

KURTOSIS
The degree of peakedness of a distribution, defined as a normalized form of the fourth central moment of a distribution.

LINEAR_REGRESSION_B
Linear Regression displacement b (y = m.x + b).

LINEAR_REGRESSION_F
F Test statistic for significance in Simple Linear Regression.

LINEAR_REGRESSION_M
Linear Regression slope m (y = m.x + b).

LINEAR_REGRESSION_T
t Test statistic for significance in Simple Linear Regression.

LOWER_QUARTILE
The median of the lower half of a set of values.

LOWESS
Locally Weighted Scatter plot Smoothing.

LSL
Lower Specification Limit.

MAX
Maximum value.

MEAN
Average of all values.

MEDIAN
The middle value in an array of values.

MIN
Minumum value.

MODE
A measure of central tendency that is the value that occurs most frequently in a group of values.

MSE
Mean Square Due to Error.

MSR
Mean Square Due to Regression.

N
Data size (n).

PEARSON_CORRELATION_COEFFICIENT
Pearson Product Moment Correlation Coefficient.

POLYNOMIAL_REGRESSION

PP
Process Performance (Pp).

PPK
Process Performance Index (Ppk).

RANGE
Range (Max - Min).

REGRESSION_LINE
Linear Regression Study.

SIGMA_1
Sigma.

SIGMA_2
2*Sigma.

SIGMA_3
3*Sigma.

SKEWNESS
The degree of asymmetry of a distribution.

SSE
Sum of Squares Due to Error.

SSR
Sum of Squares Due to Regression.

SST
Total Sum of Squares.

STANDARD_DEVIATION
The square root of the variance.

STANDARD_ERROR
The estimated standard deviation for a sample statistic which is also the standard deviation of a sampling distribution of means.

STANDARD_ERROR_OF_ESTIMATE
A measure of the accuracy of predictions made with a regression line.

SUM
Sum of all values.

UPPER_QUARTILE
The median of the upper half of a set of values.

USL
Upper Specification Limit.

VARIANCE
A measure of dispersion for a random variable or group of numbers.

WECO
Western Electric Company Rules (WECO).

ZSCORES
z-Score zones.

Method Summary

static EnumSet<Analysis>	getEnumSetValue(int value) Returns a EnumSet that represents the given numeric value.
static Analysis	getEnumValue(int value) Returns a Enum Item that represents the given numeric value.
static int	getUnderlyingValue(Analysis value) Returns a numeric value that represents the given EnumSet or Enum item.
static int	getUnderlyingValue(EnumSet<Analysis> value) Returns a numeric value that represents the given EnumSet or Enum item.
static Analysis	valueOf(String name) Returns the enum constant of this type with the specified name.
static Analysis[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

compareTo, equals, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

N

public static final Analysis N

Data size (n).

MIN

public static final Analysis MIN

Minumum value.

MAX

public static final Analysis MAX

Maximum value.

SUM

public static final Analysis SUM

Sum of all values.

MEDIAN

public static final Analysis MEDIAN

The middle value in an array of values.

MEAN

public static final Analysis MEAN

Average of all values.

MODE

public static final Analysis MODE

A measure of central tendency that is the value that occurs most frequently in a group of values.

VARIANCE

public static final Analysis VARIANCE

A measure of dispersion for a random variable or group of numbers.

STANDARD_DEVIATION

public static final Analysis STANDARD_DEVIATION

The square root of the variance.

COEFFICIENT_OF_VARIATION

public static final Analysis COEFFICIENT_OF_VARIATION

The standard deviation divided by the mean.

STANDARD_ERROR

public static final Analysis STANDARD_ERROR

The estimated standard deviation for a sample statistic which is also the standard deviation of a sampling distribution of means. The statistical bridge that connects the sample and the population and forms on of the bases of inferential statistics. (Standard Error for Mean)

LOWER_QUARTILE

public static final Analysis LOWER_QUARTILE

The median of the lower half of a set of values.

UPPER_QUARTILE

public static final Analysis UPPER_QUARTILE

The median of the upper half of a set of values.

IQR

public static final Analysis IQR

Interquartile Range.

SKEWNESS

public static final Analysis SKEWNESS

The degree of asymmetry of a distribution.

RANGE

public static final Analysis RANGE

Range (Max - Min).

KURTOSIS

public static final Analysis KURTOSIS

The degree of peakedness of a distribution, defined as a normalized form of the fourth central moment of a distribution.

COVARIANCE

public static final Analysis COVARIANCE

The covariance of two features measures their tendency to vary together, i.e., to co-vary. The covariance is the average of the products of the deviations of feature values from their means.

PEARSON_CORRELATION_COEFFICIENT

public static final Analysis PEARSON_CORRELATION_COEFFICIENT

Pearson Product Moment Correlation Coefficient.

LINEAR_REGRESSION_M

public static final Analysis LINEAR_REGRESSION_M

Linear Regression slope m (y = m.x + b).

LINEAR_REGRESSION_B

public static final Analysis LINEAR_REGRESSION_B

Linear Regression displacement b (y = m.x + b).

COEFFICIENT_OF_DETERMINATION

public static final Analysis COEFFICIENT_OF_DETERMINATION

Coefficient of Determiniation (SSR/SST).

STANDARD_ERROR_OF_ESTIMATE

public static final Analysis STANDARD_ERROR_OF_ESTIMATE

A measure of the accuracy of predictions made with a regression line.

SSR

public static final Analysis SSR

Sum of Squares Due to Regression.

SSE

public static final Analysis SSE

Sum of Squares Due to Error.

SST

public static final Analysis SST

Total Sum of Squares.

MSR

public static final Analysis MSR

Mean Square Due to Regression.

MSE

public static final Analysis MSE

Mean Square Due to Error.

LINEAR_REGRESSION_T

public static final Analysis LINEAR_REGRESSION_T

t Test statistic for significance in Simple Linear Regression.

LINEAR_REGRESSION_F

public static final Analysis LINEAR_REGRESSION_F

F Test statistic for significance in Simple Linear Regression.

REGRESSION_LINE

public static final Analysis REGRESSION_LINE

Linear Regression Study. A line calculated in regression analysis that is usd to estimate the relation between two quantities (the independent variable and dependent variable).

ZSCORES

public static final Analysis ZSCORES

z-Score zones. Displays zones of size Standard Deviation from the mean.

ERROR_BARS

public static final Analysis ERROR_BARS

Error bars are a graphic that visually represents the confidence interval around the mean value of the item.

LOWESS

public static final Analysis LOWESS

Locally Weighted Scatter plot Smoothing.

SIGMA_3

public static final Analysis SIGMA_3

3*Sigma. Can Be displayed in the chart as a color zone.

SIGMA_2

public static final Analysis SIGMA_2

2*Sigma. Can Be displayed in the chart as a color zone.

SIGMA_1

public static final Analysis SIGMA_1

Sigma. Calculated by the appropriate gallery type or supplied by you through the Sigma property (Calculator Class). Can be displayed in the chart as a color zone.

USL

public static final Analysis USL

Upper Specification Limit. Set by the through the Usl property (Calculator Class). Can be displayed in the chart as a constant line.

LSL

public static final Analysis LSL

Lower Specification Limit. Set by the through the Lsl property (Calculator Class). Can be displayed in the chart as a constant line.

PPK

public static final Analysis PPK

Process Performance Index (Ppk).

PP

public static final Analysis PP

Process Performance (Pp).

CPK

public static final Analysis CPK

Process Capability Index (Cpk).

CP

public static final Analysis CP

Process Capability (Cp).

WECO

public static final Analysis WECO

Western Electric Company Rules (WECO). This analysis will contain 1 if all the rules are met and 0 if not.

POLYNOMIAL_REGRESSION

public static final Analysis POLYNOMIAL_REGRESSION

Method Detail

values

public static Analysis[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (Analysis c : Analysis.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static Analysis valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null

getEnumSetValue

public static EnumSet<Analysis> getEnumSetValue(int value)

Returns a EnumSet that represents the given numeric value.

Parameters:

value - numeric representation of the Enumset.

getEnumValue

public static Analysis getEnumValue(int value)

Returns a Enum Item that represents the given numeric value.

Parameters:

value - numeric representation of the Enum item.

getUnderlyingValue

public static int getUnderlyingValue(Analysis value)

Returns a numeric value that represents the given EnumSet or Enum item.

Parameters:

value - A Enum Item or EnumSet.

getUnderlyingValue

public static int getUnderlyingValue(EnumSet<Analysis> value)

Returns a numeric value that represents the given EnumSet or Enum item.

Parameters:

value - A Enum Item or EnumSet.