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Examples# \donttest{ adjust(attitude, effect = "complaints", select = "rating", bayesian = TRUE) #> rating complaints privileges learning raises critical advance -#> 1 -9.98539370 51 30 39 61 92 45 -#> 2 0.24157240 64 51 54 63 73 47 -#> 3 3.73094138 70 68 69 76 86 48 -#> 4 -1.00665576 63 45 47 54 84 35 -#> 5 7.71676668 78 56 66 71 83 47 -#> 6 -12.99248106 55 49 44 54 49 34 -#> 7 -7.01374311 67 42 56 66 68 35 -#> 8 -0.02791781 75 50 55 70 66 41 -#> 9 -4.29032068 82 72 67 71 83 31 -#> 10 6.49688792 61 45 47 62 80 41 -#> 11 9.51106262 53 53 58 58 67 34 -#> 12 7.24865976 60 47 39 59 74 41 -#> 13 7.74511608 62 57 42 55 63 25 -#> 14 -9.04209251 83 83 45 59 77 35 -#> 15 4.46853851 77 54 72 79 77 46 -#> 16 -1.30449538 90 50 72 60 54 36 -#> 17 -4.54563619 85 64 69 79 79 63 -#> 18 5.24865976 60 65 75 55 80 60 -#> 19 -2.26905862 70 46 57 75 85 46 -#> 20 -8.24779657 58 68 54 64 78 52 -#> 21 5.28409651 40 33 34 43 64 33 -#> 22 3.49688792 61 52 62 66 80 41 -#> 23 -11.26197127 66 52 50 63 80 37 -#> 24 -2.46058798 37 42 58 50 57 49 -#> 25 7.75929078 54 42 48 66 75 33 -#> 26 -6.53146149 77 66 63 88 76 72 -#> 27 6.97208219 75 58 74 80 78 49 -#> 28 -9.49602473 57 44 45 51 83 38 -#> 29 6.45436381 85 71 71 77 74 55 -#> 30 5.70967932 82 39 59 64 78 39 +#> 1 -9.85359222 51 30 39 61 92 45 +#> 2 0.34398201 64 51 54 63 73 47 +#> 3 3.81978550 70 68 69 76 86 48 +#> 4 -0.90198524 63 45 47 54 84 35 +#> 5 7.78752348 78 56 66 71 83 47 +#> 6 -12.86972323 55 49 44 54 49 34 +#> 7 -6.91811625 67 42 56 66 68 35 +#> 8 0.04962174 75 50 55 70 66 41 +#> 9 -4.22860753 82 72 67 71 83 31 +#> 10 6.60608026 61 45 47 62 80 41 +#> 11 9.63834228 53 53 58 58 67 34 +#> 12 7.36011301 60 47 39 59 74 41 +#> 13 7.85204751 62 57 42 55 63 25 +#> 14 -8.98264028 83 83 45 59 77 35 +#> 15 4.54155623 77 54 72 79 77 46 +#> 16 -1.26086954 90 50 72 60 54 36 +#> 17 -4.49070578 85 64 69 79 79 63 +#> 18 5.36011301 60 65 75 55 80 60 +#> 19 -2.18021450 70 46 57 75 85 46 +#> 20 -8.13182148 58 68 54 64 78 52 +#> 21 5.44076805 40 33 34 43 64 33 +#> 22 3.60608026 61 52 62 66 80 41 +#> 23 -11.16408350 66 52 50 63 80 37 +#> 24 -2.29713370 37 42 58 50 57 49 +#> 25 7.88430952 54 42 48 66 75 33 +#> 26 -6.45844377 77 66 63 88 76 72 +#> 27 7.04962174 75 58 74 80 78 49 +#> 28 -9.37778873 57 44 45 51 83 38 +#> 29 6.50929422 85 71 71 77 74 55 +#> 30 5.77139247 82 39 59 64 78 39 adjust(attitude, effect = "complaints", select = "rating", additive = TRUE) #> rating complaints privileges learning raises critical advance #> 1 -9.86142016 51 30 39 61 92 45 diff --git a/reference/rescale_weights.html b/reference/rescale_weights.html index d0f1f93c2..16f2c4e28 100644 --- a/reference/rescale_weights.html +++ b/reference/rescale_weights.html @@ -224,17 +224,17 @@

Examples#> Number of obs: 2595, groups: SDMVPSU, 2 #> Fixed Effects: #> (Intercept) factor(RIAGENDR)2 -#> 2.491802 -1.021306 +#> 2.491801 -1.021308 #> log(age) factor(RIDRETH1)2 -#> 0.838725 -0.088629 +#> 0.838726 -0.088627 #> factor(RIDRETH1)3 factor(RIDRETH1)4 -#> -0.013332 0.722511 +#> -0.013333 0.722511 #> factor(RIDRETH1)5 factor(RIAGENDR)2:log(age) #> -0.106521 -1.012695 #> factor(RIAGENDR)2:factor(RIDRETH1)2 factor(RIAGENDR)2:factor(RIDRETH1)3 -#> -0.009089 0.732983 +#> -0.009086 0.732985 #> factor(RIAGENDR)2:factor(RIDRETH1)4 factor(RIAGENDR)2:factor(RIDRETH1)5 -#> 0.275963 0.542073 +#> 0.275967 0.542074