tests/testthat/_snaps/statpsych4.md

ci.cramer returns valid matrix

Code
  res
Output
   Estimate     SE     LL     UL
     0.3099 0.0718 0.1601 0.4417

ci.2x2.mean.mixed returns valid matrix

Code
  res
Output
             Estimate        SE          t       df           p         LL
  AB:      -3.8333333 1.8454147 -2.0772205 9.081064 0.067294262 -8.0022778
  A:        3.7500000 0.9227074  4.0641271 9.081064 0.002772245  1.6655278
  B:        2.0833333 0.6593347  3.1597509 9.847120 0.010352910  0.6111466
  A at b1:  1.8333333 1.0775487  1.7013926 5.000000 0.149607953 -0.9365937
  A at b2:  5.6666667 1.4981470  3.7824504 5.000000 0.012857535  1.8155572
  B at a1:  0.1666667 0.8975275  0.1856953 9.894118 0.856435337 -1.8360538
  B at a2:  4.0000000 1.3291601  3.0094192 8.530216 0.015641094  0.9677985
                  UL
  AB:      0.3356111
  A:       5.8344722
  B:       3.5555200
  A at b1: 4.6032603
  A at b2: 9.5177761
  B at a1: 2.1693872
  B at a2: 7.0322015

ci.2x2.mean.ws returns valid matrix

Code
  res
Output
              Estimate        SE          t df            p          LL
  AB:       1.28571429 0.5654449  2.2738102  6 0.0633355395 -0.09787945
  A:       -3.21428571 0.4862042 -6.6109784  6 0.0005765210 -4.40398462
  B:       -0.07142857 0.2296107 -0.3110855  6 0.7662600658 -0.63326579
  A at b1: -2.57142857 0.2973809 -8.6469203  6 0.0001318413 -3.29909331
  A at b2: -3.85714286 0.7377111 -5.2285275  6 0.0019599725 -5.66225692
  B at a1:  0.57142857 0.4285714  1.3333333  6 0.2308094088 -0.47724794
  B at a2: -0.71428571 0.2857143 -2.5000000  6 0.0465282323 -1.41340339
                    UL
  AB:       2.66930802
  A:       -2.02458681
  B:        0.49040865
  A at b1: -1.84376383
  A at b2: -2.05202879
  B at a1:  1.62010508
  B at a2: -0.01516804

ci.2x2.mean.bs returns valid matrix

Code
  res
Output
           Estimate       SE           t       df           p         LL
  AB:         -5.10 2.224860 -2.29227953 35.47894 0.027931810 -9.6145264
  A:           1.65 1.112430  1.48323970 35.47894 0.146840430 -0.6072632
  B:          -2.65 1.112430 -2.38217285 35.47894 0.022698654 -4.9072632
  A at b1:    -0.90 1.545244 -0.58243244 17.56296 0.567678242 -4.1522367
  A at b2:     4.20 1.600694  2.62386142 17.93761 0.017246053  0.8362274
  B at a1:    -5.20 1.536952 -3.38331916 17.61093 0.003393857 -8.4341379
  B at a2:    -0.10 1.608657 -0.06216365 17.91650 0.951120753 -3.4807927
                   UL
  AB:      -0.5854736
  A:        3.9072632
  B:       -0.3927368
  A at b1:  2.3522367
  A at b2:  7.5637726
  B at a1: -1.9658621
  B at a2:  3.2807927

ci.2x2.prop.bs returns valid matrix

Code
  res
Output
              Estimate         SE          z           p          LL          UL
  AB:      -0.27450980 0.13692496 -2.0048193 0.044982370 -0.54287780 -0.00614181
  A:       -0.11764706 0.06846248 -1.7184165 0.085720668 -0.25183106  0.01653694
  B:       -0.03921569 0.06846248 -0.5728055 0.566776388 -0.17339968  0.09496831
  A at b1: -0.25000000 0.09402223 -2.6589456 0.007838561 -0.43428019 -0.06571981
  A at b2:  0.01923077 0.09787658  0.1964798 0.844234654 -0.17260380  0.21106534
  B at a1: -0.17307692 0.09432431 -1.8349132 0.066518551 -0.35794917  0.01179533
  B at a2:  0.09615385 0.09758550  0.9853293 0.324462356 -0.09511021  0.28741790

ci.2x2.prop.mixed returns valid matrix

Code
  res
Output
              Estimate         SE          z          p         LL           UL
  AB:      -0.03960396 0.10041161 -0.3944162 0.69327381 -0.2364071  0.157199169
  A:       -0.15841584 0.05020580 -3.1553293 0.00160317 -0.2568174 -0.060014277
  B:       -0.09803922 0.04924736 -1.9907508 0.04650829 -0.1945623 -0.001516171
  A at b1: -0.17647059 0.07893437 -2.2356621 0.02537391 -0.3311791 -0.021762060
  A at b2: -0.13725490 0.06206620 -2.2114274 0.02700626 -0.2589024 -0.015607377
  B at a1: -0.11764706 0.06842118 -1.7194539 0.08553175 -0.2517501  0.016455982
  B at a2: -0.07843137 0.06913363 -1.1344894 0.25658931 -0.2139308  0.057068054
Code
  res
Output
              Estimate         SE          z          p         LL           UL
  AB:      -0.03960396 0.10041161 -0.3944162 0.69327381 -0.2364071  0.157199169
  A:       -0.15841584 0.05020580 -3.1553293 0.00160317 -0.2568174 -0.060014277
  B:       -0.09803922 0.04924736 -1.9907508 0.04650829 -0.1945623 -0.001516171
  A at b1: -0.17647059 0.07893437 -2.2356621 0.02537391 -0.3311791 -0.021762060
  A at b2: -0.13725490 0.06206620 -2.2114274 0.02700626 -0.2589024 -0.015607377
  B at a1: -0.11764706 0.06842118 -1.7194539 0.08553175 -0.2517501  0.016455982
  B at a2: -0.07843137 0.06913363 -1.1344894 0.25658931 -0.2139308  0.057068054


Try the statpsych package in your browser

Any scripts or data that you put into this service are public.

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