如何在R中查找和绘制相关变量？

我正在回顾与癌症相关的因素，并希望找到它们之间的相互关系。在我将.xslx文件输入到R中之后，我不知道如何使用该数据列表来查找每个度量的z分数，然后使用X的z分数矩阵z来使用cov（z）计算a的协方差矩阵。如何绘制和分析A的条目（这些条目告诉我X中的测量值的相关性如何）

这是一个我试图用我的因素实现的阴谋的例子（城市流行音乐、强奸、袭击和谋杀是这个阴谋的因素——你可以忽略被策划的州）。

谢谢大家!

我回顾的因素有年龄、体重指数、血糖、胰岛素、HOMA、瘦素、脂联素、抵抗素、MCP。1

这是我的数据——我使用了dput（mydata）

结构（列表）年龄=c（48,83,82,68,86,49,89,76,73,75， 34, 29, 25, 24, 38, 44, 47, 61, 64, 32, 36, 34, 29, 35, 54, 45, 50, 66, 35, 36, 66, 53, 28, 43, 51, 67, 66, 69, 60, 77, 76, 76, 75, 69, 71, 66, 75, 78, 69, 85, 76, 77, 45, 45, 49, 34, 42, 68, 51, 62, 38, 69, 49, 51, 59, 45, 54, 64, 46, 44, 45, 44, 51, 72, 46, 43, 55, 43, 86, 41, 59, 81, 48, 71, 42, 65, 48, 85, 48, 58, 40, 82, 52, 49, 60, 49, 44, 40, 71, 69, 74, 66, 65, 72, 57, 73, 45,46,68,75,54,45,62,65,72,86），BMI=c（23.5,20.69049， 23.12467, 21.36752, 21.11111, 22.85446, 22.7, 23.8, 22, 23, 21.47, 23.01, 22.86, 18.67, 23.34, 20.76, 22.03, 32.03896, 34.52972, 36.51264, 28.57668, 31.97501, 32.27079, 30.27682, 30.48316, 37.03561, 38.57876, 31.44654, 35.25076, 34.17489, 36.21228, 36.79017, 35.85581, 34.42217, 27.68878, 29.60677, 31.23859, 35.0927, 26.34929, 35.58793, 29.21841, 27.2, 27.3, 32.5, 30.3, 27.7, 25.7, 25.3, 29.4, 26.6, 27.1, 25.9, 21.30395, 20.83, 20.95661, 24.24242, 21.35991, 21.08281, 19.13265, 22.65625, 22.49964, 21.51386, 21.36752, 22.89282, 22.83288, 23.1405, 24.21875, 22.22222, 20.83, 19.56, 20.26, 24.74, 18.37, 23.62, 22.21, 26.5625, 31.97501, 31.25, 26.66667, 26.67276, 28.67263, 31.64037, 32.46191, 25.5102, 29.29688, 29.66655, 28.125, 27.68878, 31.25, 29.15452, 30.83653, 31.21748, 30.80125, 32.46191, 31.23141, 29.77778, 27.88762, 27.63605, 27.91552, 28.44444, 28.65014, 26.5625, 30.91558, 29.13632, 34.83815, 37.10938, 29.38476, 33.18, 35.56, 30.48,36.05,26.85,26.84,32.05,25.59,27.18），葡萄糖=c（70， 92, 91, 77, 92, 92, 77, 118, 97, 83, 78, 82, 82, 88, 75, 86, 84, 85, 95, 87, 86, 87, 84, 84, 90, 83, 106, 90, 90, 80, 101, 101, 87, 89, 77, 79, 82, 101, 103, 76, 83, 94, 85, 93, 102, 90, 94, 60, 89, 96, 110, 85, 102, 74, 94, 92, 93, 102, 93, 92, 95, 112, 78, 103, 98, 116, 86, 98, 88, 114, 92, 106, 105, 105, 86, 101, 92, 103, 201, 97, 77, 100, 99, 112, 98, 85, 90, 196, 199, 139, 128, 100, 87, 134, 131, 70, 99, 103, 104, 108, 88, 89, 97, 83,95,134,90,92,131,152,119,92,100,97,82,138），胰岛素=c（2.707， 3.115, 4.498, 3.226, 3.549, 3.226, 4.69, 6.47, 3.35, 4.952, 3.469, 5.663, 4.09, 6.107, 5.782, 7.553, 2.869, 18.077, 4.427, 14.026, 4.345, 4.53, 5.81, 4.376, 5.537, 6.76, 6.703, 9.245, 6.817, 6.59, 15.533, 10.175, 8.576, 23.194, 3.855, 5.819, 4.181, 5.646, 5.138, 3.881, 5.376, 14.07, 5.197, 5.43, 8.34, 6.042, 8.079, 3.508, 10.704, 4.462, 26.211, 4.58, 13.852, 4.56, 12.305, 21.699, 2.999, 6.2, 4.364, 3.482, 5.261, 6.683, 2.64, 2.74, 6.862, 4.902, 3.73, 5.7, 3.42, 15.89, 3.44, 58.46, 6.03, 4.42, 36.94, 10.555, 16.635, 4.328, 41.611, 22.033, 3.188, 9.669, 28.677, 10.395, 4.172, 14.649, 2.54, 51.814, 12.162, 16.582, 41.894, 18.077, 30.212, 24.887, 30.13, 8.396, 9.208, 2.432, 18.2, 8.808, 3.012, 6.524, 10.491, 10.949, 12.548, 5.636, 4.713, 5.75, 8.15, 7.01, 11.91, 3.33, 4.53,5.73,2.82,19.91），HOMA=c（0.467409,0.706897,1.009651， 0.612725, 0.805386, 0.732087, 0.890787, 1.883201, 0.801543, 1.013839, 0.667436, 1.145436, 0.827271, 1.33, 1.06967, 1.6, 0.59, 3.790144, 1.037394, 3.00998, 0.921719, 0.972138, 1.203832, 0.906707, 1.229214, 1.383997, 1.752611, 2.05239, 1.513374, 1.300427, 3.869788, 2.534932, 1.84041, 5.091856, 0.732193, 1.133929, 0.845677, 1.406607, 1.305395, 0.727558, 1.100646, 3.262364, 1.089638, 1.245642, 2.098344, 1.341324, 1.873251, 0.519184, 2.349885, 1.056602, 7.111918, 0.960273, 3.485163, 0.832352, 2.853119, 4.924226, 0.687971, 1.55992, 1.001102, 0.790182, 1.232828, 1.84629, 0.507936, 0.696143, 1.658774, 1.402626, 0.791257, 1.37788, 0.742368, 4.468268, 0.780651, 15.28534, 1.56177, 1.14478, 7.836205, 2.629602, 3.775036, 1.099601, 20.63073, 5.271762, 0.605507, 2.38502, 7.002923, 2.871792, 1.008511, 3.071407, 0.56388, 25.05034, 5.96992, 5.685415, 13.22733, 4.458993, 6.483495, 8.225983, 9.736007, 1.449709, 2.248594, 0.61789, 4.668907, 2.346451, 0.653805, 1.432235, 2.510147, 2.241625, 2.940415, 1.862886, 1.046286, 1.304867, 2.633537, 2.628283, 3.495982, 0.755688, 1.1174, 1.370998, 0.570392, 6.777364 )，瘦素=c（8.8071,8.8438,17.9393,9.8827,6.6994,6.8317， 6.964, 4.311, 4.47, 17.127, 14.57, 35.59, 20.45, 8.88, 15.26, 14.09, 26.65, 30.7729, 21.2117, 49.3727, 15.1248, 28.7502, 45.6196, 39.2134, 12.331, 39.9802, 46.6401, 45.9624, 50.6094, 10.2809, 74.7069, 27.1841, 68.5102, 31.2128, 20.092, 21.9033, 16.2247, 83.4821, 24.2998, 21.7863, 28.562, 35.891, 10.39, 15.145, 56.502, 24.846, 65.926, 6.633, 45.272, 7.85, 21.778, 13.74, 7.6476, 7.7529, 11.2406, 16.7353, 19.0826, 9.6994, 11.0816, 9.8648, 8.438, 32.58, 6.3339, 8.0163, 14.9037, 17.9973, 8.6874, 12.1905, 12.87, 13.08, 7.65, 18.16, 9.62, 21.78, 10.16, 9.8, 37.2234, 25.7816, 47.647, 44.7059, 17.022, 38.8066, 46.076, 19.0653, 12.2617, 26.5166, 15.5325, 70.8824, 18.1314, 22.8884, 31.0385, 31.6453, 29.2739, 42.3914, 37.843, 51.3387, 12.6757, 14.3224, 53.4997, 14.7485, 31.1233, 14.9084, 44.0217, 26.8081, 33.1612, 41.4064, 23.8479, 18.69, 17.87, 50.53, 89.27, 54.68, 12.45, 61.48, 24.96, 90.28 )，脂联素=c（9.7024,5.429285,22.43204,7.16956,4.81924， 13.67975, 5.589865, 13.25132, 10.35873, 11.57899, 13.11, 26.72, 23.67, 36.06, 17.95, 20.32, 38.04, 7.7802