
Print method for lingam_normality_test
Source:R/get_error_independence_p_values.r
print.lingam_normality_test.RdPrint method for lingam_normality_test
Usage
# S3 method for class 'lingam_normality_test'
print(x, ...)Examples
LiNGAM_sample_1000 <- generate_lingam_sample_6()
result <- lingam_direct(LiNGAM_sample_1000$data, reg_method = "ols")
print(test_residual_normality(LiNGAM_sample_1000$data, result))
#> === Residual Normality Test ===
#> Method: shapiro
#> Sample size: 1000
#> Significance: 0.050
#> Non-Gaussian: 6 / 6 variables
#>
#> variable statistic p_value is_non_gauss skewness kurtosis
#> x0 0.9526 < 2.2e-16 TRUE 0.063 -1.214
#> x1 0.9533 < 2.2e-16 TRUE 0.026 -1.208
#> x2 0.9557 < 2.2e-16 TRUE 0.083 -1.170
#> x3 0.9578 2.25e-16 TRUE 0.025 -1.163
#> x4 0.9556 < 2.2e-16 TRUE -0.002 -1.205
#> x5 0.9552 < 2.2e-16 TRUE -0.044 -1.196
#>
#> Interpretation:
#> is_non_gauss = TRUE -> rejects normality (supports LiNGAM assumption)
#> is_non_gauss = FALSE -> cannot reject normality (LiNGAM may not fit)
#>
#> All residuals are non-Gaussian. LiNGAM assumption is supported.