Documentation
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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 CorrelationMethod
- type LinearRegressionResult
- type TTestResult
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 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 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 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.
Source Files