Analysis (Chart FX for Java 8.0 API Specification)

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

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<Analysis>
```
public enum Analysis
extends java.lang.Enum<Analysis>
```
Description goes here

Enum Constant Summary

Enum Constants
Enum Constant and Description
`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` Description goes here
`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

Methods
Modifier and Type	Method and Description
`int`	`getUnderlyingValue()` Returns a numeric value that represents the given com.softwarefx.chartfx.server.statistical.Analysis.
`static Analysis`	`valueOf(java.lang.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
```
    Description goes here
- 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(java.lang.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:
    
    java.lang.IllegalArgumentException - if this enum type has no constant with the specified name
    
    java.lang.NullPointerException - if the argument is null
  - getUnderlyingValue
```
public int getUnderlyingValue()
```
    Returns a numeric value that represents the given com.softwarefx.chartfx.server.statistical.Analysis.

Enum Analysis

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Enum

Methods inherited from class java.lang.Object

Enum Constant Detail

N

MIN

MAX

SUM

MEDIAN

MEAN

MODE

VARIANCE

STANDARD_DEVIATION

COEFFICIENT_OF_VARIATION

STANDARD_ERROR

LOWER_QUARTILE

UPPER_QUARTILE

IQR

SKEWNESS

RANGE

KURTOSIS

COVARIANCE

PEARSON_CORRELATION_COEFFICIENT

LINEAR_REGRESSION_M

LINEAR_REGRESSION_B

COEFFICIENT_OF_DETERMINATION

STANDARD_ERROR_OF_ESTIMATE

SSR

SSE

SST

MSR

MSE

LINEAR_REGRESSION_T

LINEAR_REGRESSION_F

REGRESSION_LINE

ZSCORES

ERROR_BARS

LOWESS

SIGMA_3

SIGMA_2

SIGMA_1

USL

LSL

PPK

PP

CPK

CP

WECO

POLYNOMIAL_REGRESSION

Method Detail

values

valueOf

getUnderlyingValue