tests/testthat/_snaps/statpsych3.md

In statpsych: Statistical Methods for Psychologists

ci.prop returns valid matrix

Code
  res
Output
                  Estimate         SE         LL        UL
  Adjusted Wald  0.1346154 0.03346842 0.06901848 0.2002123
  Wilson with cc 0.1200000 0.03249615 0.06625153 0.2039772

ci.pairs.mult returns valid matrix

Code
  res
Output
          Estimate         SE          LL         UL
   1 2  0.14285714 0.04731825  0.05011508 0.23559920
   1 3  0.10963455 0.04875715  0.01407230 0.20519680
   2 3 -0.03322259 0.04403313 -0.11952594 0.05308076

ci.prop2 returns valid matrix

Code
  res
Output
     Estimate         SE          LL        UL
   0.09210526 0.04476077 0.004375769 0.1798348

ci.ratio.prop2 returns valid matrix

Code
  res
Output
   Estimate       LL       UL
   1.658824 1.017253 2.705025

ci.lc.prop.bs returns valid matrix

Code
  res
Output
    Estimate         SE        z           p         LL        UL
   0.2119565 0.07602892 2.787841 0.005306059 0.06294259 0.3609705

ci.pairs.prop.bs returns valid matrix

Code
  res
Output
         Estimate         SE         z            p          LL          UL
   1 2 -0.2475248 0.04482323 -5.522243 3.346989e-08 -0.35483065 -0.14021885
   1 3 -0.1039604 0.04833562 -2.150803 3.149174e-02 -0.21967489  0.01175409
   2 3  0.1435644 0.04358401  3.293968 9.878366e-04  0.03922511  0.24790360

ci.slope.prop.bs returns valid matrix

Code
  res
Output
      Estimate          SE        z           p          LL         UL
   0.007542293 0.002016793 3.739746 0.000184206 0.003589452 0.01149513

ci.prop.ps returns valid matrix

Code
  res
Output
   Estimate         SE         LL         UL
      -0.44 0.09448809 -0.6251933 -0.2548067

ci.ratio.prop.ps returns valid matrix

Code
  res
Output
   Estimate        LL       UL
     0.3125 0.1725141 0.566077

ci.condslope.log returns valid matrix

Code
  res
Output
                    Estimate exp(Estimate)        z           p       LL
  At low moderator    0.9328      2.541616 2.269824 0.023218266 1.135802
  At high moderator   1.7644      5.838068 2.906507 0.003654887 1.776421
                           UL
  At low moderator   5.687444
  At high moderator 19.186357

ci.oddsratio returns valid matrix

Code
  res
Output
   Estimate        SE       LL       UL
   2.044451 0.6154578 1.133267 3.688254

ci.yule returns valid matrix

Code
  res
Output
       Estimate         SE         LL        UL
  Q:  0.3430670 0.13280379 0.06247099 0.5734020
  Y:  0.1769015 0.07290438 0.03126603 0.3151817
  H:  0.2619244 0.10514465 0.04687994 0.4537659
  Y*: 0.1311480 0.05457236 0.02307188 0.2361941

ci.phi returns valid matrix

Code
  res
Output
    Estimate         SE         LL        UL
   0.1229976 0.05477117 0.01462398 0.2285149

ci.biphi returns valid matrix

Code
  res
Output
    Estimate         SE        LL       UL
   0.4145733 0.07551281 0.2508866 0.546141

ci.tetra returns valid matrix

Code
  res
Output
    Estimate         SE        LL        UL
   0.5135167 0.09301703 0.3102345 0.6748546

ci.kappa returns valid matrix

Code
  res
Output
                Estimate         SE        LL        UL
  IC kappa:    0.6736597 0.07479965 0.5270551 0.8202643
  Cohen kappa: 0.6756757 0.07344761 0.5317210 0.8196303

ci.agree returns valid matrix

Code
  res
Output
    Estimate         SE        LL        UL
   0.7333333 0.05333333 0.6132949 0.8226025

ci.popsize returns valid matrix

Code
  res
Output
   Estimate       SE   LL   UL
       2908 49.49071 2818 3012

test.prop returns valid matrix

Code
  res
Output
   Estimate        z          p
       0.45 2.515576 0.01188379

test.prop2 returns valid matrix

Code
  res
Output
   Estimate        z           p
       -0.3 2.899726 0.003734895

test.prop.bs returns valid matrix

Code
  res
Output
   Chi-square df            p
     17.41071  2 0.0001656958

test.prop.ps returns valid matrix

Code
  res
Output
   Estimate        z          p
       0.07 2.108346 0.03500109

size.ci.prop returns valid numeric

Code
  res
Output
   Sample size
            93

size.ci.prop2 returns valid numeric

Code
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Output
    n1  n2
   383 192

size.ci.ratio.prop2 returns valid numeric

Code
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Output
    n1  n2
   704 352

size.ci.lc.prop.bs returns valid numeric

Code
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Output
   Sample size per group
                      87

size.ci.prop.ps returns valid numeric

Code
  res
Output
   Sample size
           118

size.ci.ratio.prop.ps returns valid numeric

Code
  res
Output
   Sample size
            67

size.ci.agree returns valid numeric

Code
  res
Output
   Sample size
           139

size.test.prop returns valid numeric

Code
  res
Output
   Sample size
            65

size.test.prop2 returns valid numeric

Code
  res
Output
   Sample size per group
                     109

size.test.lc.prop.bs returns valid numeric

Code
  res
Output
   Sample size per group
                     105

size.equiv.prop2 returns valid numeric

Code
  res
Output
   Sample size per group
                     288

size.supinf.prop2 returns valid numeric

Code
  res
Output
   Sample size per group
                     408

size.test.prop.ps returns valid numeric

Code
  res
Output
   Sample size
           177

size.equiv.prop.ps returns valid numeric

Code
  res
Output
   Sample size
           173

size.supinf.prop.ps returns valid numeric

Code
  res
Output
   Sample size
           227

iqv returns valid matrix

Code
  res
Output
     Simpson    Berger   Shannon
   0.7367908 0.5045045 0.7353931

test.mono.prop.bs returns valid matrix

Code
  res
Output
        Estimate         SE         LL        UL
   1 2 0.1764706 0.06803446 0.01359747 0.3393437
   2 3 0.1862745 0.06726135 0.02525219 0.3472968
   3 4 0.1960784 0.05493010 0.06457688 0.3275800

ci.agree2 returns valid matrix

Code
  res
Output
           Estimate         SE        LL        UL
  G1      0.8666667 0.02880329 0.6974555 0.9481141
  G2      0.5000000 0.05590170 0.2523379 0.6851621
  G1 - G2 0.3666667 0.06288585 0.1117076 0.6088621

power.prop returns valid matrix

Code
  res
Output
       Power
   0.7156166

power.prop2 returns valid matrix

Code
  res
Output
       Power
   0.4998959

power.prop.ps returns valid matrix

Code
  res
Output
       Power
   0.6877704

ci.prop.inv returns valid matrix

Code
  res
Output
     Estimate         SE         LL        UL
   0.07462687 0.03145284 0.02467471 0.1479676

ci.prop2.inv returns valid matrix

Code
  res
Output
   Estimate         SE         LL        UL
   0.161385 0.05997618 0.05288277 0.2879851

ci.agree.3rater returns valid matrix

Code
  res
Output
                   Estimate          LL         UL
  G(1,2)         0.56666667  0.46601839  0.6524027
  G(1,3)         0.50000000  0.39564646  0.5911956
  G(2,3)         0.86666667  0.79701213  0.9135142
  G(1,2)-G(1,3)  0.06666667  0.00580397  0.1266464
  G(1,2)-G(2,3) -0.30000000 -0.40683919 -0.1891873
  G(2,3)-G(1,3) -0.36666667 -0.46222023 -0.2662566
  G(3)           0.64444444  0.57382971  0.7068720

ci.bayes.prop returns valid matrix

Code
  res
Output
   Posterior mean Posterior SD        LL        UL
        0.1723577   0.03419454 0.1111747 0.2436185

ci.pv returns valid matrix

Code
  res
Output
         Estimate        LL        UL
  PPV:  0.7640449 0.5838940 0.8819671
  NPV:  0.9779978 0.9623406 0.9872318

ci.prop.fpc returns valid matrix

Code
  res
Output
    Estimate        SE         LL        UL
   0.1346154 0.0290208 0.07773565 0.1914951

ci.poisson returns valid matrix

Code
  res
Output
   Estimate        SE       LL      UL
   4.380952 0.9684952 2.777148 6.57358

ci.ratio.poisson2 returns valid matrix

Code
  res
Output
   Estimate       LL       UL
       5.13 1.939576 13.71481

pi.prop returns valid matrix

Code
  res
Output
          LL       UL
   0.1390955 0.337095

size.ci.tetra returns valid matrix

Code
  res
Output
   Sample size
           296

size.ci.prop.prior returns valid matrix

Code
  res
Output
   Sample size
           318

size.ci.oddsratio example

Code
  res
Output
   Sample size
           356

size.ci.yule example

Code
  res
Output
   Sample size
           354

size.ci.phi example

Code
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Output
   Sample size
           416

statpsych documentation built on April 4, 2025, 3:20 a.m.