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各位大虾:
我用R进行Johnson转换的时候报错“Error in RE.ADT(xsb[, i]) : object 'p' not found”,不知道是什么原因?我用Mintab对数据进行Johnson转换是正常的,而且转换后的p值>0.05,请各位大虾指点一下,为什么用R会报错,怎么改正?转换时怂恿数据如下:
时长 | 90 | 99 | 80 | 57 | 115 | 51 | 48 | 85 | 31 | 68 | 30 | 42 | 29 | 56 | 35 | 43 | 35 | 41 | 55 | 57 | 35 | 35 | 55 | 73 | 55 | 30 | 42 | 32 | 41 | 24 | 25 | 46 | 67 | 49 | 67 | 31 | 57 | 30 | 37 | 150 | 34 | 28 | 28 | 51 | 33 | 48 | 134 | 42 | 47 | 57 | 40 | 40 | 71 | 32 | 28 | 63 | 80 | 38 | 65 | 28 | 38 | 33 | 45 | 70 | 22 | 143 | 40 | 35 | 47 | 22 | 18 | 29 | 47 | 153 | 46 | 34 | 30 | 47 | 36 | 55 | 44 | 70 | 62 | 44 | 43 | 90 | 47 | 53 | 43 | 39 | 76 | 48 | 50 | 59 | 43 | 67 | 29 | 28 | 40 | 36 | 74 | 29 | 32 | 42 | 40 | 28 | 27 | 143 | 58 | 76 | 29 | 43 | 29 | 48 | 53 | 30 | 36 | 42 | 34 | 76 | 51 | 38 | 211 | 44 | 54 | 67 | 177 | 50 | 38 | 56 | 23 | 58 | 76 | 37 | 41 | 39 | 94 | 44 | 40 | 54 | 37 | 36 | 46 | 34 | 34 | 81 | 24 | 38 | 53 | 49 | 78 | 42 | 63 | 40 | 102 | 58 | 38 | 35 | 47 | 128 | 38 | 55 | 74 | 77 | 40 | 53 | 45 | 41 | 64 | 70 | 71 | 48 | 51 | 125 | 42 | 41 | 79 | 64 | 24 | 47 | 57 | 48 | 93 | 41 | 29 | 29 | 37 | 35 | 35 | 40 | 67 | 34 | 37 | 38 | 62 | 48 | 34 | 30 | 33 | 36 | 44 | 51 | 33 | 33 | 23 | 51 | 49 | 39 | 41 | 75 | 35 | 44 | 61 | 30 | 60 | 80 | 41 | 30 | 60 | 43 | 26 | 128 | 63 | 76 | 52 | 16 | 68 | 68 | 67 | 62 | 41 | 28 | 26 | 36 | 35 | 23 | 35 | 50 | 61 | 37 | 31 | 40 | 21 | 107 | 49 | 57 | 39 | 34 | 25 | 29 | 65 | 73 | 56 | 35 | 63 | 55 | 43 | 35 | 43 | 44 | 41 | 41 | 51 | 39 | 40 | 39 | 40 | 30 | 27 | 35 | 35 | 35 | 34 | 50 | 35 | 96 | 38 | 33 | 128 | 67 | 37 | 42 | 35 | 29 | 39 | 24 | 29 | 43 | 33 | 52 | 63 | 49 | 38 | 46 | 52 | 56 | 57 | 44 | 59 | 57 | 29 | 55 | 63 | 30 | 44 | 70 | 69 | 37 | 46 | 93 | 54 | 24 | 64 | 60 | 39 | 62 | 40 | 57 | 34 | 34 | 47 | 47 | 45 | 32 | 45 | 27 | 43 | 65 | 69 | 69 | 51 | 23 | 37 | 37 | 40 | 67 | 70 | 56 | 51 | 31 | 33 | 42 | 48 | 34 | 161 | 43 | 35 | 30 | 55 | 81 | 34 | 56 | 42 | 80 | 66 | 30 | 37 | 47 | 60 | 42 | 25 | 29 | 34 | 48 | 59 | 44 | 31 | 41 | 41 | 27 | 36 | 35 | 37 | 31 | 31 | 12 | 12 | 91 | 29 | 38 | 44 | 28 | 37 | 44 | 27 | 29 | 45 | 56 | 23 | 41 | 24 | 49 | 29 | 75 | 26 | 34 | 38 | 46 | 27 | 29 | 40 | 28 | 36 | 42 | 35 | 43 | 42 | 93 | 41 | 90 | 34 | 25 | 32 | 56 | 32 | 29 | 34 | 35 | 42 | 47 | 38 | 80 | 24 | 43 | 61 | 70 | 33 | 96 | 35 | 36 | 42 | 43 | 45 | 78 | 74 | 59 | 55 | 55 | 59 | 29 | 53 | 41 | 42 | 64 | 27 | 42 | 33 | 36 | 30 | 40 | 44 | 61 | 9 | 178 | 70 | 198 | 69 | 44 | 38 | 38 | 28 | 50 | 68 | 32 | 53 | 35 | 35 | 28 | 52 | 39 | 60 | 39 | 39 | 62 | 39 | 29 | 35 | 45 | 60 | 47 | 51 | 35 | 27 | 37 | 37 | 68 | 33 | 46 | 64 | 128 | 37 | 31 | 54 | 42 | 45 | 37 | 43 | 37 | 52 | 52 | 27 | 91 | 28 | 31 | 56 | 57 | 22 | 27 | 54 | 40 | 64 | 35 | 48 | 48 | 81 | 31 | 40 | 40 | 33 | 105 | 45 | 37 | 43 | 43 | 62 | 136 | 41 | 26 | 57 | 46 | 27 | 33 | 28 | 132 | 56 | 45 | 62 | 42 | 79 | 39 | 47 | 64 | 61 | 28 | 30 | 22 | 70 | 37 | 116 | 28 | 44 | 27 | 53 | 48 | 47 | 179 | 44 | 37 | 78 | 26 | 79 | 199 | 47 | 51 | 27 | 44 | 40 | 43 | 60 | 43 | 136 | 78 | 36 | 55 | 48 | 41 | 67 | 36 | 22 | 30 | 46 | 32 | 33 | 77 | 52 | 59 | 69 | 26 | 26 | 29 | 78 | 131 | 36 | 36 | 33 | 41 | 75 | 123 | 112 | 41 | 29 | 78 | 69 | 116 | 46 | 34 | 38 | 30 | 62 | 66 | 66 | 48 | 65 | 46 | 67 | 40 | 36 | 51 | 56 | 73 | 34 | 44 | 45 | 47 | 45 | 37 | 45 | 65 | 28 | 96 | 31 | 106 | 73 | 79 | 67 | 35 | 32 | 35 | 39 | 34 | 45 | 43 | 77 | 66 | 28 | 72 | 36 | 37 | 45 | 37 | 67 | 134 | 39 | 30 | 130 | 43 | 26 | 52 | 40 | 35 | 62 | 77 | 32 | 40 | 110 | 67 | 29 | 26 | 42 | 61 | 38 | 66 | 28 | 48 | 36 | 67 | 75 | 38 | 139 | 54 | 40 | 9 |
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