z_scored_grand_mean.RdThis function will compute z-scores with respect to the grand mean.
z_scored_grand_mean(data, cols, keep_original = TRUE)A data.frame or a data.frame extension (e.g. a tibble).
Columns that need to be centered. See `dplyr::dplyr_tidy_select` for available options.
default is `FALSE`. Set to `TRUE` to keep original columns
An object of the same type as .data. The output has the following properties: 1. Columns from .data will be preserved 2. Columns with scores that are z-scored
z_scored_grand_mean(iris,where(is.numeric))
#> Sepal.Length_z Sepal.Width_z Petal.Length_z Petal.Width_z Species
#> 1 -0.89767388 1.01560199 -1.33575163 -1.3110521482 setosa
#> 2 -1.13920048 -0.13153881 -1.33575163 -1.3110521482 setosa
#> 3 -1.38072709 0.32731751 -1.39239929 -1.3110521482 setosa
#> 4 -1.50149039 0.09788935 -1.27910398 -1.3110521482 setosa
#> 5 -1.01843718 1.24503015 -1.33575163 -1.3110521482 setosa
#> 6 -0.53538397 1.93331463 -1.16580868 -1.0486667950 setosa
#> 7 -1.50149039 0.78617383 -1.33575163 -1.1798594716 setosa
#> 8 -1.01843718 0.78617383 -1.27910398 -1.3110521482 setosa
#> 9 -1.74301699 -0.36096697 -1.33575163 -1.3110521482 setosa
#> 10 -1.13920048 0.09788935 -1.27910398 -1.4422448248 setosa
#> 11 -0.53538397 1.47445831 -1.27910398 -1.3110521482 setosa
#> 12 -1.25996379 0.78617383 -1.22245633 -1.3110521482 setosa
#> 13 -1.25996379 -0.13153881 -1.33575163 -1.4422448248 setosa
#> 14 -1.86378030 -0.13153881 -1.50569459 -1.4422448248 setosa
#> 15 -0.05233076 2.16274279 -1.44904694 -1.3110521482 setosa
#> 16 -0.17309407 3.08045544 -1.27910398 -1.0486667950 setosa
#> 17 -0.53538397 1.93331463 -1.39239929 -1.0486667950 setosa
#> 18 -0.89767388 1.01560199 -1.33575163 -1.1798594716 setosa
#> 19 -0.17309407 1.70388647 -1.16580868 -1.1798594716 setosa
#> 20 -0.89767388 1.70388647 -1.27910398 -1.1798594716 setosa
#> 21 -0.53538397 0.78617383 -1.16580868 -1.3110521482 setosa
#> 22 -0.89767388 1.47445831 -1.27910398 -1.0486667950 setosa
#> 23 -1.50149039 1.24503015 -1.56234224 -1.3110521482 setosa
#> 24 -0.89767388 0.55674567 -1.16580868 -0.9174741184 setosa
#> 25 -1.25996379 0.78617383 -1.05251337 -1.3110521482 setosa
#> 26 -1.01843718 -0.13153881 -1.22245633 -1.3110521482 setosa
#> 27 -1.01843718 0.78617383 -1.22245633 -1.0486667950 setosa
#> 28 -0.77691058 1.01560199 -1.27910398 -1.3110521482 setosa
#> 29 -0.77691058 0.78617383 -1.33575163 -1.3110521482 setosa
#> 30 -1.38072709 0.32731751 -1.22245633 -1.3110521482 setosa
#> 31 -1.25996379 0.09788935 -1.22245633 -1.3110521482 setosa
#> 32 -0.53538397 0.78617383 -1.27910398 -1.0486667950 setosa
#> 33 -0.77691058 2.39217095 -1.27910398 -1.4422448248 setosa
#> 34 -0.41462067 2.62159911 -1.33575163 -1.3110521482 setosa
#> 35 -1.13920048 0.09788935 -1.27910398 -1.3110521482 setosa
#> 36 -1.01843718 0.32731751 -1.44904694 -1.3110521482 setosa
#> 37 -0.41462067 1.01560199 -1.39239929 -1.3110521482 setosa
#> 38 -1.13920048 1.24503015 -1.33575163 -1.4422448248 setosa
#> 39 -1.74301699 -0.13153881 -1.39239929 -1.3110521482 setosa
#> 40 -0.89767388 0.78617383 -1.27910398 -1.3110521482 setosa
#> 41 -1.01843718 1.01560199 -1.39239929 -1.1798594716 setosa
#> 42 -1.62225369 -1.73753594 -1.39239929 -1.1798594716 setosa
#> 43 -1.74301699 0.32731751 -1.39239929 -1.3110521482 setosa
#> 44 -1.01843718 1.01560199 -1.22245633 -0.7862814418 setosa
#> 45 -0.89767388 1.70388647 -1.05251337 -1.0486667950 setosa
#> 46 -1.25996379 -0.13153881 -1.33575163 -1.1798594716 setosa
#> 47 -0.89767388 1.70388647 -1.22245633 -1.3110521482 setosa
#> 48 -1.50149039 0.32731751 -1.33575163 -1.3110521482 setosa
#> 49 -0.65614727 1.47445831 -1.27910398 -1.3110521482 setosa
#> 50 -1.01843718 0.55674567 -1.33575163 -1.3110521482 setosa
#> 51 1.39682886 0.32731751 0.53362088 0.2632599711 versicolor
#> 52 0.67224905 0.32731751 0.42032558 0.3944526477 versicolor
#> 53 1.27606556 0.09788935 0.64691619 0.3944526477 versicolor
#> 54 -0.41462067 -1.73753594 0.13708732 0.1320672944 versicolor
#> 55 0.79301235 -0.59039513 0.47697323 0.3944526477 versicolor
#> 56 -0.17309407 -0.59039513 0.42032558 0.1320672944 versicolor
#> 57 0.55148575 0.55674567 0.53362088 0.5256453243 versicolor
#> 58 -1.13920048 -1.50810778 -0.25944625 -0.2615107354 versicolor
#> 59 0.91377565 -0.36096697 0.47697323 0.1320672944 versicolor
#> 60 -0.77691058 -0.81982329 0.08043967 0.2632599711 versicolor
#> 61 -1.01843718 -2.42582042 -0.14615094 -0.2615107354 versicolor
#> 62 0.06843254 -0.13153881 0.25038262 0.3944526477 versicolor
#> 63 0.18919584 -1.96696410 0.13708732 -0.2615107354 versicolor
#> 64 0.30995914 -0.36096697 0.53362088 0.2632599711 versicolor
#> 65 -0.29385737 -0.36096697 -0.08950329 0.1320672944 versicolor
#> 66 1.03453895 0.09788935 0.36367793 0.2632599711 versicolor
#> 67 -0.29385737 -0.13153881 0.42032558 0.3944526477 versicolor
#> 68 -0.05233076 -0.81982329 0.19373497 -0.2615107354 versicolor
#> 69 0.43072244 -1.96696410 0.42032558 0.3944526477 versicolor
#> 70 -0.29385737 -1.27867961 0.08043967 -0.1303180588 versicolor
#> 71 0.06843254 0.32731751 0.59026853 0.7880306775 versicolor
#> 72 0.30995914 -0.59039513 0.13708732 0.1320672944 versicolor
#> 73 0.55148575 -1.27867961 0.64691619 0.3944526477 versicolor
#> 74 0.30995914 -0.59039513 0.53362088 0.0008746178 versicolor
#> 75 0.67224905 -0.36096697 0.30703027 0.1320672944 versicolor
#> 76 0.91377565 -0.13153881 0.36367793 0.2632599711 versicolor
#> 77 1.15530226 -0.59039513 0.59026853 0.2632599711 versicolor
#> 78 1.03453895 -0.13153881 0.70356384 0.6568380009 versicolor
#> 79 0.18919584 -0.36096697 0.42032558 0.3944526477 versicolor
#> 80 -0.17309407 -1.04925145 -0.14615094 -0.2615107354 versicolor
#> 81 -0.41462067 -1.50810778 0.02379201 -0.1303180588 versicolor
#> 82 -0.41462067 -1.50810778 -0.03285564 -0.2615107354 versicolor
#> 83 -0.05233076 -0.81982329 0.08043967 0.0008746178 versicolor
#> 84 0.18919584 -0.81982329 0.76021149 0.5256453243 versicolor
#> 85 -0.53538397 -0.13153881 0.42032558 0.3944526477 versicolor
#> 86 0.18919584 0.78617383 0.42032558 0.5256453243 versicolor
#> 87 1.03453895 0.09788935 0.53362088 0.3944526477 versicolor
#> 88 0.55148575 -1.73753594 0.36367793 0.1320672944 versicolor
#> 89 -0.29385737 -0.13153881 0.19373497 0.1320672944 versicolor
#> 90 -0.41462067 -1.27867961 0.13708732 0.1320672944 versicolor
#> 91 -0.41462067 -1.04925145 0.36367793 0.0008746178 versicolor
#> 92 0.30995914 -0.13153881 0.47697323 0.2632599711 versicolor
#> 93 -0.05233076 -1.04925145 0.13708732 0.0008746178 versicolor
#> 94 -1.01843718 -1.73753594 -0.25944625 -0.2615107354 versicolor
#> 95 -0.29385737 -0.81982329 0.25038262 0.1320672944 versicolor
#> 96 -0.17309407 -0.13153881 0.25038262 0.0008746178 versicolor
#> 97 -0.17309407 -0.36096697 0.25038262 0.1320672944 versicolor
#> 98 0.43072244 -0.36096697 0.30703027 0.1320672944 versicolor
#> 99 -0.89767388 -1.27867961 -0.42938920 -0.1303180588 versicolor
#> 100 -0.17309407 -0.59039513 0.19373497 0.1320672944 versicolor
#> 101 0.55148575 0.55674567 1.27004036 1.7063794137 virginica
#> 102 -0.05233076 -0.81982329 0.76021149 0.9192233541 virginica
#> 103 1.51759216 -0.13153881 1.21339271 1.1816087073 virginica
#> 104 0.55148575 -0.36096697 1.04344975 0.7880306775 virginica
#> 105 0.79301235 -0.13153881 1.15674505 1.3128013839 virginica
#> 106 2.12140867 -0.13153881 1.60992627 1.1816087073 virginica
#> 107 -1.13920048 -1.27867961 0.42032558 0.6568380009 virginica
#> 108 1.75911877 -0.36096697 1.43998331 0.7880306775 virginica
#> 109 1.03453895 -1.27867961 1.15674505 0.7880306775 virginica
#> 110 1.63835547 1.24503015 1.32668801 1.7063794137 virginica
#> 111 0.79301235 0.32731751 0.76021149 1.0504160307 virginica
#> 112 0.67224905 -0.81982329 0.87350679 0.9192233541 virginica
#> 113 1.15530226 -0.13153881 0.98680210 1.1816087073 virginica
#> 114 -0.17309407 -1.27867961 0.70356384 1.0504160307 virginica
#> 115 -0.05233076 -0.59039513 0.76021149 1.5751867371 virginica
#> 116 0.67224905 0.32731751 0.87350679 1.4439940605 virginica
#> 117 0.79301235 -0.13153881 0.98680210 0.7880306775 virginica
#> 118 2.24217198 1.70388647 1.66657392 1.3128013839 virginica
#> 119 2.24217198 -1.04925145 1.77986923 1.4439940605 virginica
#> 120 0.18919584 -1.96696410 0.70356384 0.3944526477 virginica
#> 121 1.27606556 0.32731751 1.10009740 1.4439940605 virginica
#> 122 -0.29385737 -0.59039513 0.64691619 1.0504160307 virginica
#> 123 2.24217198 -0.59039513 1.66657392 1.0504160307 virginica
#> 124 0.55148575 -0.81982329 0.64691619 0.7880306775 virginica
#> 125 1.03453895 0.55674567 1.10009740 1.1816087073 virginica
#> 126 1.63835547 0.32731751 1.27004036 0.7880306775 virginica
#> 127 0.43072244 -0.59039513 0.59026853 0.7880306775 virginica
#> 128 0.30995914 -0.13153881 0.64691619 0.7880306775 virginica
#> 129 0.67224905 -0.59039513 1.04344975 1.1816087073 virginica
#> 130 1.63835547 -0.13153881 1.15674505 0.5256453243 virginica
#> 131 1.87988207 -0.59039513 1.32668801 0.9192233541 virginica
#> 132 2.48369858 1.70388647 1.49663097 1.0504160307 virginica
#> 133 0.67224905 -0.59039513 1.04344975 1.3128013839 virginica
#> 134 0.55148575 -0.59039513 0.76021149 0.3944526477 virginica
#> 135 0.30995914 -1.04925145 1.04344975 0.2632599711 virginica
#> 136 2.24217198 -0.13153881 1.32668801 1.4439940605 virginica
#> 137 0.55148575 0.78617383 1.04344975 1.5751867371 virginica
#> 138 0.67224905 0.09788935 0.98680210 0.7880306775 virginica
#> 139 0.18919584 -0.13153881 0.59026853 0.7880306775 virginica
#> 140 1.27606556 0.09788935 0.93015445 1.1816087073 virginica
#> 141 1.03453895 0.09788935 1.04344975 1.5751867371 virginica
#> 142 1.27606556 0.09788935 0.76021149 1.4439940605 virginica
#> 143 -0.05233076 -0.81982329 0.76021149 0.9192233541 virginica
#> 144 1.15530226 0.32731751 1.21339271 1.4439940605 virginica
#> 145 1.03453895 0.55674567 1.10009740 1.7063794137 virginica
#> 146 1.03453895 -0.13153881 0.81685914 1.4439940605 virginica
#> 147 0.55148575 -1.27867961 0.70356384 0.9192233541 virginica
#> 148 0.79301235 -0.13153881 0.81685914 1.0504160307 virginica
#> 149 0.43072244 0.78617383 0.93015445 1.4439940605 virginica
#> 150 0.06843254 -0.13153881 0.76021149 0.7880306775 virginica
#> Sepal.Length Sepal.Width Petal.Length Petal.Width
#> 1 5.1 3.5 1.4 0.2
#> 2 4.9 3.0 1.4 0.2
#> 3 4.7 3.2 1.3 0.2
#> 4 4.6 3.1 1.5 0.2
#> 5 5.0 3.6 1.4 0.2
#> 6 5.4 3.9 1.7 0.4
#> 7 4.6 3.4 1.4 0.3
#> 8 5.0 3.4 1.5 0.2
#> 9 4.4 2.9 1.4 0.2
#> 10 4.9 3.1 1.5 0.1
#> 11 5.4 3.7 1.5 0.2
#> 12 4.8 3.4 1.6 0.2
#> 13 4.8 3.0 1.4 0.1
#> 14 4.3 3.0 1.1 0.1
#> 15 5.8 4.0 1.2 0.2
#> 16 5.7 4.4 1.5 0.4
#> 17 5.4 3.9 1.3 0.4
#> 18 5.1 3.5 1.4 0.3
#> 19 5.7 3.8 1.7 0.3
#> 20 5.1 3.8 1.5 0.3
#> 21 5.4 3.4 1.7 0.2
#> 22 5.1 3.7 1.5 0.4
#> 23 4.6 3.6 1.0 0.2
#> 24 5.1 3.3 1.7 0.5
#> 25 4.8 3.4 1.9 0.2
#> 26 5.0 3.0 1.6 0.2
#> 27 5.0 3.4 1.6 0.4
#> 28 5.2 3.5 1.5 0.2
#> 29 5.2 3.4 1.4 0.2
#> 30 4.7 3.2 1.6 0.2
#> 31 4.8 3.1 1.6 0.2
#> 32 5.4 3.4 1.5 0.4
#> 33 5.2 4.1 1.5 0.1
#> 34 5.5 4.2 1.4 0.2
#> 35 4.9 3.1 1.5 0.2
#> 36 5.0 3.2 1.2 0.2
#> 37 5.5 3.5 1.3 0.2
#> 38 4.9 3.6 1.4 0.1
#> 39 4.4 3.0 1.3 0.2
#> 40 5.1 3.4 1.5 0.2
#> 41 5.0 3.5 1.3 0.3
#> 42 4.5 2.3 1.3 0.3
#> 43 4.4 3.2 1.3 0.2
#> 44 5.0 3.5 1.6 0.6
#> 45 5.1 3.8 1.9 0.4
#> 46 4.8 3.0 1.4 0.3
#> 47 5.1 3.8 1.6 0.2
#> 48 4.6 3.2 1.4 0.2
#> 49 5.3 3.7 1.5 0.2
#> 50 5.0 3.3 1.4 0.2
#> 51 7.0 3.2 4.7 1.4
#> 52 6.4 3.2 4.5 1.5
#> 53 6.9 3.1 4.9 1.5
#> 54 5.5 2.3 4.0 1.3
#> 55 6.5 2.8 4.6 1.5
#> 56 5.7 2.8 4.5 1.3
#> 57 6.3 3.3 4.7 1.6
#> 58 4.9 2.4 3.3 1.0
#> 59 6.6 2.9 4.6 1.3
#> 60 5.2 2.7 3.9 1.4
#> 61 5.0 2.0 3.5 1.0
#> 62 5.9 3.0 4.2 1.5
#> 63 6.0 2.2 4.0 1.0
#> 64 6.1 2.9 4.7 1.4
#> 65 5.6 2.9 3.6 1.3
#> 66 6.7 3.1 4.4 1.4
#> 67 5.6 3.0 4.5 1.5
#> 68 5.8 2.7 4.1 1.0
#> 69 6.2 2.2 4.5 1.5
#> 70 5.6 2.5 3.9 1.1
#> 71 5.9 3.2 4.8 1.8
#> 72 6.1 2.8 4.0 1.3
#> 73 6.3 2.5 4.9 1.5
#> 74 6.1 2.8 4.7 1.2
#> 75 6.4 2.9 4.3 1.3
#> 76 6.6 3.0 4.4 1.4
#> 77 6.8 2.8 4.8 1.4
#> 78 6.7 3.0 5.0 1.7
#> 79 6.0 2.9 4.5 1.5
#> 80 5.7 2.6 3.5 1.0
#> 81 5.5 2.4 3.8 1.1
#> 82 5.5 2.4 3.7 1.0
#> 83 5.8 2.7 3.9 1.2
#> 84 6.0 2.7 5.1 1.6
#> 85 5.4 3.0 4.5 1.5
#> 86 6.0 3.4 4.5 1.6
#> 87 6.7 3.1 4.7 1.5
#> 88 6.3 2.3 4.4 1.3
#> 89 5.6 3.0 4.1 1.3
#> 90 5.5 2.5 4.0 1.3
#> 91 5.5 2.6 4.4 1.2
#> 92 6.1 3.0 4.6 1.4
#> 93 5.8 2.6 4.0 1.2
#> 94 5.0 2.3 3.3 1.0
#> 95 5.6 2.7 4.2 1.3
#> 96 5.7 3.0 4.2 1.2
#> 97 5.7 2.9 4.2 1.3
#> 98 6.2 2.9 4.3 1.3
#> 99 5.1 2.5 3.0 1.1
#> 100 5.7 2.8 4.1 1.3
#> 101 6.3 3.3 6.0 2.5
#> 102 5.8 2.7 5.1 1.9
#> 103 7.1 3.0 5.9 2.1
#> 104 6.3 2.9 5.6 1.8
#> 105 6.5 3.0 5.8 2.2
#> 106 7.6 3.0 6.6 2.1
#> 107 4.9 2.5 4.5 1.7
#> 108 7.3 2.9 6.3 1.8
#> 109 6.7 2.5 5.8 1.8
#> 110 7.2 3.6 6.1 2.5
#> 111 6.5 3.2 5.1 2.0
#> 112 6.4 2.7 5.3 1.9
#> 113 6.8 3.0 5.5 2.1
#> 114 5.7 2.5 5.0 2.0
#> 115 5.8 2.8 5.1 2.4
#> 116 6.4 3.2 5.3 2.3
#> 117 6.5 3.0 5.5 1.8
#> 118 7.7 3.8 6.7 2.2
#> 119 7.7 2.6 6.9 2.3
#> 120 6.0 2.2 5.0 1.5
#> 121 6.9 3.2 5.7 2.3
#> 122 5.6 2.8 4.9 2.0
#> 123 7.7 2.8 6.7 2.0
#> 124 6.3 2.7 4.9 1.8
#> 125 6.7 3.3 5.7 2.1
#> 126 7.2 3.2 6.0 1.8
#> 127 6.2 2.8 4.8 1.8
#> 128 6.1 3.0 4.9 1.8
#> 129 6.4 2.8 5.6 2.1
#> 130 7.2 3.0 5.8 1.6
#> 131 7.4 2.8 6.1 1.9
#> 132 7.9 3.8 6.4 2.0
#> 133 6.4 2.8 5.6 2.2
#> 134 6.3 2.8 5.1 1.5
#> 135 6.1 2.6 5.6 1.4
#> 136 7.7 3.0 6.1 2.3
#> 137 6.3 3.4 5.6 2.4
#> 138 6.4 3.1 5.5 1.8
#> 139 6.0 3.0 4.8 1.8
#> 140 6.9 3.1 5.4 2.1
#> 141 6.7 3.1 5.6 2.4
#> 142 6.9 3.1 5.1 2.3
#> 143 5.8 2.7 5.1 1.9
#> 144 6.8 3.2 5.9 2.3
#> 145 6.7 3.3 5.7 2.5
#> 146 6.7 3.0 5.2 2.3
#> 147 6.3 2.5 5.0 1.9
#> 148 6.5 3.0 5.2 2.0
#> 149 6.2 3.4 5.4 2.3
#> 150 5.9 3.0 5.1 1.8