tests/testthat/_snaps/t_test.md

t_test

Code
  t_test(efc, "e17age")
Output
  # One Sample t-test

    Data: e17age
    Group 1: e17age (mean = 79.12)
    Alternative hypothesis: true mean is not equal to 0

    t = 291.78, Cohen's d = 9.77 (large effect), df = 890, p < .001
Code
  t_test(efc, "e17age", "e16sex")
Output
  # Welch Two Sample t-test

    Data: e17age by e16sex
    Group 1: 1 (n = 294, mean = 76.16)
    Group 2: 2 (n = 596, mean = 80.57)
    Alternative hypothesis: true difference in means is not equal to 0

    t = -8.05, Cohen's d = -0.56 (medium effect), df = 610.8, p < .001
Code
  t_test(efc, c("e17age", "c160age"))
Output
  # Welch Two Sample t-test

    Data: e17age by c160age
    Group 1: c160age (n = 890, mean = 53.42)
    Group 2: e17age  (n = 890, mean = 79.12)
    Alternative hypothesis: true difference in means is not equal to 0

    t = -49.22, Cohen's d = -2.33 (large effect), df = 1468.1, p < .001
Code
  t_test(efc, c("e17age", "c160age"), paired = TRUE)
Output
  # Paired t-test

    Data: e17age and c160age (mean difference = 25.70)
    Alternative hypothesis: true mean is not equal to 0

    t = 54.11, Cohen's d = 1.81 (large effect), df = 889, p < .001
Code
  t_test(efc, "e17age", weights = "weight")
Output
  # One Sample t-test (weighted)

    Data: e17age
    Group 1: e17age (n = 897, mean = 79.17)
    Alternative hypothesis: true mean is not equal to 0

    t = 291.31, Cohen's d = 3.17 (large effect), df = 890, p < .001
Code
  t_test(efc, "e17age", "e16sex", weights = "weight")
Output
  # Two-Sample t-test (weighted)

    Data: e17age by e16sex
    Group 1: 1 (n = 600, mean = 80.63)
    Group 2: 2 (n = 296, mean = 76.19)
    Alternative hypothesis: true difference in means is not equal to 0

    t = 8.03, Cohen's d = -0.17 (very small effect), df = 604.5, p < .001
Code
  t_test(efc, c("e17age", "c160age"), weights = "weight")
Output
  # Two-Sample t-test (weighted)

    Data: e17age by c160age
    Group 1: c160age (n = 896, mean = 79.17)
    Group 2: e17age  (n = 896, mean = 53.40)
    Alternative hypothesis: true difference in means is not equal to 0

    t = 49.31, Cohen's d = -1.12 (large effect), df = 1470.0, p < .001
Code
  t_test(efc, c("e17age", "c160age"), weights = "weight", paired = TRUE)
Output
  # Paired t-test (weighted)

    Data: e17age and c160age (mean difference = 25.77)
    Alternative hypothesis: true mean difference is not equal to 0

    t = 54.37, Cohen's d = 1.54 (large effect), df = 889, p < .001


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sjstats documentation built on May 29, 2024, 12:09 p.m.