Hi! I expected that t.test should report a very large p-value (close to 1), even when using paired=TRUE, for the data below (which are very similar). However, I observe p-value = 0.02503 which indicates a significant difference, even though there is none. Can this be fixed please? This is with R-4.4.1. For reference below I use paired=FALSE with the same data, and I get p-value = 1 as expected.
> err1 = c(-1.6076199373862132, -1.658521185520103, -1.6549424312339873, > -1.5887767975086149, -1.634129577540383, -1.7442711937982249) > err2 = c(-1.6076199373862132, -1.6585211855201032, -1.6549424312339875, > -1.5887767975086149, -1.6341295775403832, -1.7442711937982252) > t.test(err1,err2,paired=TRUE) Paired t-test data: err1 and err2 t = 3.1623, df = 5, p-value = 0.02503 alternative hypothesis: true mean difference is not equal to 0 95 percent confidence interval: 2.769794e-17 2.683615e-16 sample estimates: mean difference 1.480297e-16 > t.test(err1,err2,paired=FALSE) Welch Two Sample t-test data: err1 and err2 t = 0, df = 10, p-value = 1 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -0.06988771 0.06988771 sample estimates: mean of x mean of y -1.648044 -1.648044 ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel