Statistics
Class for statistical processing for Matrix class.
- These methods can be used in the
Matrixmethod chain. - This class cannot be called directly.
Static Method Summary
| Static Public Methods | ||
| public static |
corrcoef(x: KMatrixInputData, y_or_type: KStatisticsSettings | KMatrixInputData, type: KStatisticsSettings): Matrix Correlation matrix or Correlation coefficient. |
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| public static |
cov(x: KMatrixInputData, y_or_type: KStatisticsSettings | KMatrixInputData, type: KStatisticsSettings): Matrix Covariance matrix or Covariance value. |
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| public static |
geomean(x: KMatrixInputData, type: KStatisticsSettings): Matrix Geometric mean. |
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| public static |
mad(x: KMatrixInputData, algorithm: string | ?number, type: KStatisticsSettings): Matrix Mean absolute deviation. |
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| public static |
max(x: KMatrixInputData, type: KStatisticsSettings): Matrix Maximum number. |
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| public static |
mean(x: KMatrixInputData, type: KStatisticsSettings): Matrix Arithmetic average. |
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| public static |
median(x: KMatrixInputData, type: KStatisticsSettings): Matrix Median. |
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| public static |
min(x: KMatrixInputData, type: KStatisticsSettings): Matrix Minimum number. |
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| public static |
mode(x: KMatrixInputData, type: KStatisticsSettings): Matrix Mode. |
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| public static |
moment(x: KMatrixInputData, nth_order: number, type: KStatisticsSettings): Matrix Moment. |
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| public static |
prod(x: KMatrixInputData, type: KStatisticsSettings): Matrix Product of array elements. |
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| public static |
skewness(x: KMatrixInputData, type: KStatisticsSettings): Matrix Skewness. |
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| public static |
sort(x: KMatrixInputData, order: string, type: KStatisticsSettings): Matrix Sort. |
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| public static |
standardization(x: KMatrixInputData, type: KStatisticsSettings): Matrix The samples are standardize to a mean value of 0, standard deviation of 1. |
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| public static |
std(x: KMatrixInputData, type: KStatisticsSettings): Matrix Standard deviation. |
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| public static |
sum(x: KMatrixInputData, type: KStatisticsSettings): Matrix Sum. |
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| public static |
var(x: KMatrixInputData, type: KStatisticsSettings): Matrix Variance. |
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Static Public Methods
public static corrcoef(x: KMatrixInputData, y_or_type: KStatisticsSettings | KMatrixInputData, type: KStatisticsSettings): Matrix source
Correlation matrix or Correlation coefficient.
- Get a correlation matrix from 1 matrix.
- Get a correlation coefficient from 2 vectors.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| y_or_type | KStatisticsSettings | KMatrixInputData |
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| type | KStatisticsSettings |
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public static cov(x: KMatrixInputData, y_or_type: KStatisticsSettings | KMatrixInputData, type: KStatisticsSettings): Matrix source
Covariance matrix or Covariance value.
- Get a variance-covariance matrix from 1 matrix.
- Get a covariance from 2 vectors.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| y_or_type | KStatisticsSettings | KMatrixInputData |
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| type | KStatisticsSettings |
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public static geomean(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Geometric mean.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static mad(x: KMatrixInputData, algorithm: string | ?number, type: KStatisticsSettings): Matrix source
Mean absolute deviation.
- The "algorithm" can choose "0/mean"(default) and "1/median".
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| algorithm | string | ?number |
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| type | KStatisticsSettings |
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public static max(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Maximum number.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static mean(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Arithmetic average.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static median(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Median.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static min(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Minimum number.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static mode(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Mode.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static moment(x: KMatrixInputData, nth_order: number, type: KStatisticsSettings): Matrix source
Moment.
- Moment of order n. Equivalent to the definition of variance at 2.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| nth_order | number | ||
| type | KStatisticsSettings |
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public static prod(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Product of array elements.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static skewness(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Skewness.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static sort(x: KMatrixInputData, order: string, type: KStatisticsSettings): Matrix source
Sort.
- The "order" can choose "ascend"(default) and "descend".
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| order | string |
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| type | KStatisticsSettings |
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public static standardization(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
The samples are standardize to a mean value of 0, standard deviation of 1.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static std(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Standard deviation.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static sum(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Sum.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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public static var(x: KMatrixInputData, type: KStatisticsSettings): Matrix source
Variance.
Params:
| Name | Type | Attribute | Description |
| x | KMatrixInputData | ||
| type | KStatisticsSettings |
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