Documentation
¶
Index ¶
- func CalculateMoment(dl insyra.IDataList, n int, central bool) *big.Rat
- func Correlation(dlX, dlY insyra.IDataList, method CorrelationMethod, highPrecision ...bool) interface{}
- func Covariance(dlX, dlY insyra.IDataList) *big.Rat
- func Kurtosis(data interface{}, method ...int) interface{}
- func Skewness(sample interface{}, method ...int) interface{}
- type ChiSquareTestResult
- type CorrelationMethod
- type FTestResult
- type LinearRegressionResult
- type OneWayANOVAResult
- type TTestResult
- type TwoWayANOVAResult
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func CalculateMoment ¶ added in v0.0.3
CalculateMoment calculates the n-th moment of the DataList. Returns the n-th moment. Returns nil if the DataList is empty or the n-th moment cannot be calculated.
func Correlation ¶ added in v0.0.4
func Correlation(dlX, dlY insyra.IDataList, method CorrelationMethod, highPrecision ...bool) interface{}
Correlation calculates the correlation coefficient between two datasets. Supports Pearson, Kendall, and Spearman methods. If highPrecision is set to true, it returns *big.Rat, otherwise float64.
func Covariance ¶ added in v0.0.4
Covariance calculates the covariance between two datasets. Always returns *big.Rat.
Types ¶
type ChiSquareTestResult ¶ added in v0.0.6
func ChiSquareTest ¶ added in v0.0.6
func ChiSquareTest(input interface{}, p []float64, rescaleP bool) *ChiSquareTestResult
ChiSquareTest supports both DataList (1D) and DataTable (2D) for chi-square tests.
type CorrelationMethod ¶ added in v0.0.4
type CorrelationMethod int
CorrelationMethod 定義了相關係數的計算方法
const ( // PearsonCorrelation 表示皮爾森相關係數的計算方法,用於測量線性相關性 // PearsonCorrelation means Pearson correlation coefficient, used to measure linear correlation. PearsonCorrelation CorrelationMethod = iota // KendallCorrelation 表示肯德爾秩相關係數的計算方法,用於測量單調相關性 // KendallCorrelation means Kendall rank correlation coefficient, used to measure monotonic correlation. KendallCorrelation // SpearmanCorrelation 表示斯皮爾曼秩相關係數的計算方法,基於排序後的數據。 // SpearmanCorrelation means Spearman rank correlation coefficient, based on sorted data. SpearmanCorrelation )
type FTestResult ¶ added in v0.0.6
func FTestForVarianceEquality ¶ added in v0.0.6
func FTestForVarianceEquality(data1, data2 *insyra.DataList) *FTestResult
FTestForVarianceEquality performs an F-test for variance equality
type LinearRegressionResult ¶ added in v0.0.4
type LinearRegressionResult struct {
Slope float64 // 斜率
Intercept float64 // 截距
Residuals []float64 // 殘差
Rsquared float64 // R-squared
AdjustedRsquared float64 // 調整後的 R-squared
StandardError float64 // 標準誤差
TValue float64 // t 值
Pvalue float64 // p 值
}
LinearRegressionResult holds the result of a linear regression, including slope, intercept, and other statistical details.
func LinearRegression ¶ added in v0.0.4
func LinearRegression(dlX, dlY insyra.IDataList) *LinearRegressionResult
LinearRegression performs simple linear regression on two datasets (X and Y). It returns the slope, intercept, residuals, R-squared, and other statistical details.
type OneWayANOVAResult ¶ added in v0.0.7
type OneWayANOVAResult struct {
SSB float64 // Between-group Sum of Squares
SSW float64 // Within-group Sum of Squares
FValue float64 // F-value
PValue float64 // P-value
DFB int // Between-group Degrees of Freedom
DFW int // Within-group Degrees of Freedom
TotalSS float64 // Total Sum of Squares
}
func OneWayANOVA_WideFormat ¶ added in v0.0.7
func OneWayANOVA_WideFormat(dataTable insyra.IDataTable) *OneWayANOVAResult
type TTestResult ¶ added in v0.0.4
TTestResult holds the result of a t-test, including t-value and p-value.
func PairedTTest ¶ added in v0.0.4
func PairedTTest(data1, data2 insyra.IDataList) *TTestResult
PairedTTest performs a paired t-test, comparing the differences between two paired samples. It returns the t-value, p-value, and degrees of freedom.
func SingleSampleTTest ¶ added in v0.0.4
func SingleSampleTTest(data insyra.IDataList, mu float64) *TTestResult
SingleSampleTTest performs a single-sample t-test, comparing the mean of the sample to a given value. It returns the t-value, p-value, and degrees of freedom.
func TwoSampleTTest ¶ added in v0.0.4
func TwoSampleTTest(data1, data2 insyra.IDataList, equalVariance bool) *TTestResult
TwoSampleTTest performs an independent two-sample t-test, comparing the means of two samples. It returns the t-value, p-value, and degrees of freedom.
type TwoWayANOVAResult ¶ added in v0.0.7
type TwoWayANOVAResult struct {
SSA float64 // Factor A Sum of Squares
SSB float64 // Factor B Sum of Squares
SSAB float64 // Interaction Sum of Squares
SSW float64 // Within-group Sum of Squares
FAValue float64 // F-value for Factor A
FBValue float64 // F-value for Factor B
FABValue float64 // F-value for interaction
PAValue float64 // P-value for Factor A
PBValue float64 // P-value for Factor B
PABValue float64 // P-value for interaction
DFA int // Degrees of Freedom for Factor A
DFB int // Degrees of Freedom for Factor B
DFAxB int // Degrees of Freedom for interaction
DFW int // Degrees of Freedom within groups
TotalSS float64 // Total Sum of Squares
}
func TwoWayANOVA_WideFormat ¶ added in v0.0.7
func TwoWayANOVA_WideFormat(dataTable insyra.IDataTable) *TwoWayANOVAResult
TwoWayANOVA calculates the two-way ANOVA of the given data table. Use wide data format to calculate the ANOVA. It returns a pointer to a TwoWayANOVAResult struct containing the results.