ggplot2，对齐图，多个数据帧
ggplot2，对齐图，多个数据帧
提问于 2022-06-15 16:44:37
我这里的情况很复杂。我已经为多个数据帧绘制了图表，现在我想对齐(来自不同时间点的)图表，以便计算面积上的差异。我发现了一个与我的例子非常相似的例子，那就是Again, I have 4 graphs on R, different x axis, but similar trend profile. I tried to overlay them but they are not aligned，但是在将代码合并到我的例子时遇到了一些问题。
我用来生成图形的代码：
test <- { tibble::tribble(
~X, ~well, ~channel, ~D0_xbl, ~D2_xbl,
9.686, "B10", 1L, -155.8225, 4.00670000000036,
20.757, "B10", 1L, -42.7895000000001, 88.8957,
31.827, "B10", 1L, 58.8525, 94.4947000000002,
42.897, "B10", 1L, -59.4175, -0.634299999999712,
53.967, "B10", 1L, 105.7215, 39.6557000000003,
65.037, "B10", 1L, -34.3235, 6.55270000000019,
76.108, "B10", 1L, 62.9155000000001, 48.6517000000003,
87.178, "B10", 1L, -45.4504999999999, 85.5467000000003,
98.248, "B10", 1L, -116.7475, 49.0877,
109.318, "B10", 1L, 38.4585, 93.4257000000002,
120.389, "B10", 1L, -31.1765, 232.1787,
131.459, "B10", 1L, 29.3515, 70.8517000000002,
142.529, "B10", 1L, -6.90750000000003, -4.68329999999969,
153.599, "B10", 1L, -42.4145000000001, 34.8097000000002,
164.669, "B10", 1L, -16.5445, 13.8357000000001,
175.74, "B10", 1L, -31.2415000000001, 24.4697000000001,
186.81, "B10", 1L, 160.5085, 73.4697000000001,
197.88, "B10", 1L, 124.0345, 167.1967,
208.95, "B10", 1L, 37.4204999999999, -77.8872999999999,
220.02, "B10", 1L, 15.3125, 95.1307000000002,
231.091, "B10", 1L, 146.6605, -2.10129999999981,
242.161, "B10", 1L, 74.1445000000001, 102.0707,
253.231, "B10", 1L, 158.5245, 56.5387000000001,
264.301, "B10", 1L, 50.0195000000001, -26.0482999999999,
275.372, "B10", 1L, 7.28850000000011, 56.8097000000002,
286.442, "B10", 1L, -50.6834999999999, 133.3877,
297.512, "B10", 1L, -40.9314999999999, 131.8557,
308.582, "B10", 1L, 19.0475000000001, 90.3387000000002,
319.652, "B10", 1L, 141.2015, 67.3967000000002,
330.723, "B10", 1L, 128.3935, 71.6697000000004,
341.793, "B10", 1L, 58.1735000000001, 115.6027,
352.863, "B10", 1L, -13.6924999999999, -64.8702999999996,
363.933, "B10", 1L, -83.7294999999999, 106.3647,
375.003, "B10", 1L, 50.4345000000001, 104.1957,
386.074, "B10", 1L, 76.1725000000001, 307.6887,
397.144, "B10", 1L, 101.9985, 774.7727,
408.214, "B10", 1L, 40.2545, 784.1097,
419.284, "B10", 1L, 58.5654999999999, 369.1267,
430.355, "B10", 1L, 50.7165, 385.9197,
441.425, "B10", 1L, -16.6785, 1130.5667,
452.495, "B10", 1L, 133.4325, 1400.3707,
463.565, "B10", 1L, 72.1055000000001, 1198.9237,
474.635, "B10", 1L, 139.6325, 1014.3347,
485.706, "B10", 1L, -3.93450000000007, 1463.5897,
496.776, "B10", 1L, 68.0595000000001, 1570.4517,
507.846, "B10", 1L, 11.2235000000001, 2139.4587,
518.916, "B10", 1L, 93.9655, 2203.3437,
529.986, "B10", 1L, 36.3745000000001, 1962.2727,
541.057, "B10", 1L, 456.5205, 1624.9887,
552.127, "B10", 1L, 1529.5735, 1768.4587,
563.197, "B10", 1L, 1210.1765, 2609.8267,
574.267, "B10", 1L, 933.8345, 1952.8747,
585.338, "B10", 1L, 949.9645, 1694.0647,
596.408, "B10", 1L, 846.4655, 1967.6097,
607.478, "B10", 1L, 1287.1835, 2188.6207,
618.548, "B10", 1L, 810.8085, 2037.5187,
629.618, "B10", 1L, 1581.2825, 1996.9807,
640.689, "B10", 1L, 1447.2465, 1895.3097,
651.759, "B10", 1L, 1150.8545, 2383.5607,
662.829, "B10", 1L, 1021.3545, 2856.0917,
673.899, "B10", 1L, 1163.8035, 1695.7227,
684.969, "B10", 1L, 1036.4985, 1478.2927,
696.04, "B10", 1L, 1385.2305, 1438.0127,
707.11, "B10", 1L, 1110.9345, 1767.6497,
718.18, "B10", 1L, 1236.8995, 1679.9767,
729.25, "B10", 1L, 1234.2425, 1645.0757,
740.32, "B10", 1L, 1245.7005, 3204.8157,
751.391, "B10", 1L, 1300.4695, 2235.8947,
762.461, "B10", 1L, 1199.7535, 2094.3267,
773.531, "B10", 1L, 1527.7805, 2632.5457,
784.601, "B10", 1L, 2143.8785, 2729.5467,
795.672, "B10", 1L, 2159.5825, 2571.9267,
806.742, "B10", 1L, 2213.4885, 1312.5767,
817.812, "B10", 1L, 2042.5345, 975.0967,
828.882, "B10", 1L, 1314.8645, 966.0137,
839.952, "B10", 1L, 1451.0225, 1008.0837,
851.023, "B10", 1L, 1258.2025, 1098.4797,
862.093, "B10", 1L, 1121.5705, 1069.2367,
873.163, "B10", 1L, 1204.0055, 1583.8107,
884.233, "B10", 1L, 815.5735, 846.2797,
895.303, "B10", 1L, 967.7465, 692.1867,
906.374, "B10", 1L, 658.2835, 565.0897,
917.444, "B10", 1L, 707.9115, 576.5227,
928.514, "B10", 1L, 879.8085, 424.1697,
939.584, "B10", 1L, 845.4505, 186.8957,
950.655, "B10", 1L, 469.9845, 355.6597,
961.725, "B10", 1L, 630.6155, 607.0667,
972.795, "B10", 1L, 845.0745, 343.0777,
983.865, "B10", 1L, 815.6185, 164.8487,
994.935, "B10", 1L, 789.0455, 206.8607,
1006.006, "B10", 1L, 352.6235, 4.21470000000045,
1017.076, "B10", 1L, -39.6215, -96.3862999999997,
1028.146, "B10", 1L, 54.3235, 42.2237000000005,
1039.216, "B10", 1L, -16.6444999999999, 207.2787,
1050.286, "B10", 1L, -85.5305000000001, 91.4667000000004,
1061.357, "B10", 1L, 124.1915, -16.8453,
1072.427, "B10", 1L, 38.2495000000001, -80.7472999999995,
1083.497, "B10", 1L, 136.5115, 76.3807000000002,
1094.567, "B10", 1L, 106.3755, 48.1157000000003,
1105.637, "B10", 1L, 126.8225, 63.3017000000004,
1116.708, "B10", 1L, 68.3335, 89.4927000000002,
1127.778, "B10", 1L, -61.2335, 111.2477,
1138.848, "B10", 1L, 42.6435000000001, -71.4192999999996,
1149.918, "B10", 1L, 53.7655, -20.3543,
1160.989, "B10", 1L, -35.1665, 67.8217000000004,
1172.059, "B10", 1L, 52.5805, 159.1147,
1183.129, "B10", 1L, 111.1855, 22.9657000000002,
1194.199, "B10", 1L, -24.1955, 112.1027,
1205.269, "B10", 1L, 54.5115000000001, -41.0972999999999,
1216.34, "B10", 1L, -43.0964999999999, -19.1202999999996,
1227.41, "B10", 1L, -52.5205000000001, -97.8572999999997,
1238.48, "B10", 1L, 43.9404999999999, 7.71270000000004,
1249.55, "B10", 1L, 49.2135000000001, 34.3027000000002,
1260.62, "B10", 1L, -2.48049999999989, -114.3783,
1271.691, "B10", 1L, 7.28549999999996, -10.5312999999996,
1282.761, "B10", 1L, -42.7584999999999, 60.6557000000003,
1293.831, "B10", 1L, 46.0084999999999, -65.6582999999996,
1304.901, "B10", 1L, 46.2615000000001, -3.21529999999984,
1315.972, "B10", 1L, 79.4984999999999, -89.1422999999995,
1327.042, "B10", 1L, -37.2404999999999, -2.9712999999997,
1338.112, "B10", 1L, -62.6095, -45.7873,
1349.182, "B10", 1L, 170.1795, -88.3102999999996,
1360.252, "B10", 1L, 81.1495, -0.548299999999927,
1371.323, "B10", 1L, 40.6845000000001, -119.4453,
1382.393, "B10", 1L, -59.4195, -87.3212999999996,
1393.463, "B10", 1L, -101.7965, -23.7672999999995,
1404.533, "B10", 1L, -67.6524999999999, -145.1293,
1415.604, "B10", 1L, -69.9065000000001, -8.45029999999997,
9.686, "B10", 2L, 32.8377, 58.2847999999999,
20.757, "B10", 2L, -33.1342999999999, 64.5018,
31.827, "B10", 2L, -61.1333, 34.1397999999999,
42.897, "B10", 2L, 10.6267, -20.0412000000001,
53.967, "B10", 2L, -90.9373000000001, 80.5778,
65.037, "B10", 2L, 16.2587000000001, -79.0942,
76.108, "B10", 2L, -16.4213, 114.7918,
87.178, "B10", 2L, 39.1506999999999, 176.3198,
98.248, "B10", 2L, -56.9083000000001, 120.6258,
109.318, "B10", 2L, -56.8172999999999, 231.3008,
120.389, "B10", 2L, -39.2763, 118.9998,
131.459, "B10", 2L, 37.7197000000001, 188.1798,
142.529, "B10", 2L, 29.4897000000001, 159.5898,
153.599, "B10", 2L, 90.6547, 212.2138,
164.669, "B10", 2L, 82.3157000000001, 48.2748000000001,
175.74, "B10", 2L, -13.5823, 100.5768,
186.81, "B10", 2L, 37.2187000000001, 68.1527999999998,
197.88, "B10", 2L, 19.8557000000001, 98.6088,
208.95, "B10", 2L, -10.9003, 66.9947999999999,
220.02, "B10", 2L, 66.3747000000001, 215.0338,
231.091, "B10", 2L, 120.1917, 91.3827999999999,
242.161, "B10", 2L, 147.0387, 220.1298,
253.231, "B10", 2L, 47.6357, 101.9528,
264.301, "B10", 2L, 50.7936999999999, 150.2908,
275.372, "B10", 2L, 130.0087, 141.7358,
286.442, "B10", 2L, 117.5957, 14.7618000000002,
297.512, "B10", 2L, 160.6267, 110.8018,
308.582, "B10", 2L, 135.7857, 60.9598000000001,
319.652, "B10", 2L, 202.0947, 81.4958000000001,
330.723, "B10", 2L, 68.9557, 120.7128,
341.793, "B10", 2L, 169.1917, 308.4068,
352.863, "B10", 2L, 113.2727, 269.6688,
363.933, "B10", 2L, 109.6227, 461.7048,
375.003, "B10", 2L, 129.7987, 1053.1878,
386.074, "B10", 2L, 115.9467, 1064.7468,
397.144, "B10", 2L, 200.9837, 1579.6108,
408.214, "B10", 2L, 191.3437, 2172.2458,
419.284, "B10", 2L, 226.0057, 2944.0758,
430.355, "B10", 2L, 124.2177, 4546.9178,
441.425, "B10", 2L, 158.6067, 5477.1518,
452.495, "B10", 2L, 158.1067, 6558.3688,
463.565, "B10", 2L, 199.9537, 9359.9058,
474.635, "B10", 2L, 248.4207, 8955.4778,
485.706, "B10", 2L, 90.5937000000001, 8688.8828,
496.776, "B10", 2L, 207.5587, 10080.7118,
507.846, "B10", 2L, 311.4657, 10275.0288,
518.916, "B10", 2L, 467.0877, 10433.3588,
529.986, "B10", 2L, 905.3517, 12209.0968,
541.057, "B10", 2L, 2489.9817, 12865.1098,
552.127, "B10", 2L, 2713.0927, 13218.6738,
563.197, "B10", 2L, 3641.7787, 13239.0058,
574.267, "B10", 2L, 5182.9527, 15322.5888,
585.338, "B10", 2L, 5974.6247, 16156.5168,
596.408, "B10", 2L, 5780.4457, 17103.6088,
607.478, "B10", 2L, 7767.7557, 16813.8368,
618.548, "B10", 2L, 8072.3497, 17356.2178,
629.618, "B10", 2L, 8105.3237, 16824.5738,
640.689, "B10", 2L, 9144.0957, 16418.7338,
651.759, "B10", 2L, 9357.9307, 14780.2238,
662.829, "B10", 2L, 9004.6337, 14720.4408,
673.899, "B10", 2L, 9278.8677, 14716.7318,
684.969, "B10", 2L, 8826.8647, 15267.6398,
696.04, "B10", 2L, 9460.4607, 15704.1598,
707.11, "B10", 2L, 10086.5107, 14377.4528,
718.18, "B10", 2L, 10550.7447, 14378.8668,
729.25, "B10", 2L, 10727.4867, 14163.1128,
740.32, "B10", 2L, 10328.1397, 13898.6988,
751.391, "B10", 2L, 9588.1967, 15137.3628,
762.461, "B10", 2L, 9802.8557, 15382.4588,
773.531, "B10", 2L, 9969.1387, 14017.4518,
784.601, "B10", 2L, 9773.0927, 14366.7458,
795.672, "B10", 2L, 10843.1557, 14402.6658,
806.742, "B10", 2L, 9507.3317, 13536.5758,
817.812, "B10", 2L, 9635.2037, 13916.1358,
828.882, "B10", 2L, 9201.7927, 14168.7938,
839.952, "B10", 2L, 8951.5947, 13464.2448,
851.023, "B10", 2L, 9392.3187, 11628.7788,
862.093, "B10", 2L, 9370.3957, 9905.5898,
873.163, "B10", 2L, 8725.5897, 8986.6368,
884.233, "B10", 2L, 8434.9267, 9949.8578,
895.303, "B10", 2L, 8837.1217, 7313.6318,
906.374, "B10", 2L, 8419.9807, 5571.4098,
917.444, "B10", 2L, 7391.0737, 4657.6828,
928.514, "B10", 2L, 6714.7317, 4098.5498,
939.584, "B10", 2L, 5782.0777, 2538.7008,
950.655, "B10", 2L, 5413.3007, 1490.7858,
961.725, "B10", 2L, 3750.3557, 1208.7628,
972.795, "B10", 2L, 4115.5457, 1139.1798,
983.865, "B10", 2L, 3101.5787, 986.7688,
994.935, "B10", 2L, 2155.4357, 1138.8178,
1006.006, "B10", 2L, 597.6727, 500.2128,
1017.076, "B10", 2L, 254.3607, 272.2878,
1028.146, "B10", 2L, 191.4137, 502.7578,
1039.216, "B10", 2L, 227.2307, 283.7788,
1050.286, "B10", 2L, 176.0657, 189.7588,
1061.357, "B10", 2L, 185.4807, 181.5548,
1072.427, "B10", 2L, 204.4357, 243.3478,
1083.497, "B10", 2L, 154.3877, 14.6208000000001,
1094.567, "B10", 2L, 130.7767, 216.9358,
1105.637, "B10", 2L, 146.7777, 74.8618000000001,
1116.708, "B10", 2L, 40.3987, 160.9298,
1127.778, "B10", 2L, 172.7047, 120.1748,
1138.848, "B10", 2L, 222.7767, -23.3002000000001,
1149.918, "B10", 2L, 213.2867, 65.1558,
1160.989, "B10", 2L, 77.7466999999999, 99.0098000000003,
1172.059, "B10", 2L, 153.4467, 46.0518000000002,
1183.129, "B10", 2L, 128.7027, 124.2868,
1194.199, "B10", 2L, 79.1886999999999, 27.0057999999999,
1205.269, "B10", 2L, 87.0256999999999, 191.3108,
1216.34, "B10", 2L, 12.1637000000001, 39.4338000000002,
1227.41, "B10", 2L, 120.3677, 105.2318,
1238.48, "B10", 2L, 65.2166999999999, 129.2918,
1249.55, "B10", 2L, 21.2227, 136.6078,
1260.62, "B10", 2L, 114.4567, 170.6008,
1271.691, "B10", 2L, 83.4797000000001, -54.1711999999998,
1282.761, "B10", 2L, 105.9617, -37.3982000000001,
1293.831, "B10", 2L, -25.8172999999999, -136.0802,
1304.901, "B10", 2L, 134.7887, -50.3222000000001,
1315.972, "B10", 2L, 141.5367, 111.9678,
1327.042, "B10", 2L, 63.1767, 11.5837999999999,
1338.112, "B10", 2L, -15.9893, -19.4771999999998,
1349.182, "B10", 2L, 25.7597000000001, -13.9061999999999,
1360.252, "B10", 2L, -1.01929999999993, 125.2698,
1371.323, "B10", 2L, 53.0797, 59.4238,
1382.393, "B10", 2L, 48.5417, 68.2298000000001,
1393.463, "B10", 2L, -4.98329999999987, -45.3472000000002,
1404.533, "B10", 2L, 22.1477, 121.1538,
1415.604, "B10", 2L, -18.9032999999999, -29.3822,
8.303, "B3", 1L, 181.2689, 60.0478000000003,
19.373, "B3", 1L, -38.1571000000001, 48.8338000000003,
30.443, "B3", 1L, -121.2631, 102.3118,
41.513, "B3", 1L, -24.7701, -26.4121999999998,
52.584, "B3", 1L, 18.7828999999999, 71.6867999999999,
63.654, "B3", 1L, -38.3571000000002, -44.6581999999999,
74.724, "B3", 1L, 15.5989, 16.2978000000003,
85.794, "B3", 1L, 72.1459, 190.0938,
96.864, "B3", 1L, 86.4958999999999, 43.7678000000001,
107.935, "B3", 1L, 72.6608999999999, 62.5608000000002,
119.005, "B3", 1L, -4.78710000000001, 100.3938,
130.075, "B3", 1L, 93.8348999999998, 18.2508000000003,
141.145, "B3", 1L, 19.6868999999999, 77.7678000000001,
152.215, "B3", 1L, 151.5249, 142.6158,
163.286, "B3", 1L, 34.7958999999998, 174.2508,
174.356, "B3", 1L, 44.9539, 58.7218000000003,
185.426, "B3", 1L, 106.2339, 50.7218000000003,
196.496, "B3", 1L, -52.3111000000001, 97.7168000000001,
207.566, "B3", 1L, 43.3379, 130.2798,
218.637, "B3", 1L, -20.6001000000001, 46.7388000000001,
229.707, "B3", 1L, -1.71109999999999, 223.6748,
240.777, "B3", 1L, 8.3279, 116.4228,
251.847, "B3", 1L, 39.9819, 302.7348,
262.918, "B3", 1L, 155.0789, 299.3048,
273.988, "B3", 1L, 90.6149, 549.7468,
285.058, "B3", 1L, -51.5031000000001, 321.4318,
296.128, "B3", 1L, 85.4398999999999, 326.1958,
307.198, "B3", 1L, 7.33489999999983, 653.4718,
318.269, "B3", 1L, 87.1218999999999, 633.5128,
329.339, "B3", 1L, 75.5628999999999, 620.5188,
340.409, "B3", 1L, 12.6208999999999, 578.8028,
351.479, "B3", 1L, 64.8469, 964.6008,
362.549, "B3", 1L, 17.1739, 1778.9198,
373.62, "B3", 1L, -12.8011000000001, 2507.6148,
384.69, "B3", 1L, 67.4288999999999, 2573.4578,
395.76, "B3", 1L, 25.9819, 3531.7628,
406.83, "B3", 1L, 74.5538999999999, 4718.6688,
417.901, "B3", 1L, 14.7599, 5506.4748,
428.971, "B3", 1L, 46.2219, 6261.3468,
440.041, "B3", 1L, 91.1749, 6641.3208,
451.111, "B3", 1L, 78.0618999999999, 7088.2808,
462.181, "B3", 1L, 362.5329, 7686.4378,
473.252, "B3", 1L, 683.0009, 9252.7328,
484.322, "B3", 1L, 1422.6859, 10571.5488,
495.392, "B3", 1L, 3312.6259, 12203.5338,
506.462, "B3", 1L, 4541.8399, 12694.5568,
517.532, "B3", 1L, 5243.3069, 13057.5618,
528.603, "B3", 1L, 5845.7259, 14636.4908,
539.673, "B3", 1L, 7102.9149, 16055.8558,
550.743, "B3", 1L, 7120.3769, 15317.7138,
561.813, "B3", 1L, 7487.3209, 17333.8698,
572.883, "B3", 1L, 7563.7669, 19009.7368,
583.954, "B3", 1L, 8194.1199, 19128.2208,
595.024, "B3", 1L, 8957.9569, 18274.1278,
606.094, "B3", 1L, 9747.9479, 18617.6358,
617.164, "B3", 1L, 10230.3359, 18361.6428,
628.235, "B3", 1L, 10175.5239, 17568.0628,
639.305, "B3", 1L, 11451.8879, 17913.1858,
650.375, "B3", 1L, 11817.6449, 18396.9968,
661.445, "B3", 1L, 11644.8329, 18746.9288,
672.515, "B3", 1L, 12268.6839, 18044.6818,
683.586, "B3", 1L, 11366.0069, 17464.8478,
694.656, "B3", 1L, 11463.3709, 18097.4558,
705.726, "B3", 1L, 11707.5339, 17699.1338,
716.796, "B3", 1L, 12213.8299, 16750.1298,
727.867, "B3", 1L, 12736.1929, 17533.0028,
738.937, "B3", 1L, 11905.3129, 15518.7998,
750.007, "B3", 1L, 11090.6339, 15338.9358,
761.077, "B3", 1L, 11389.0589, 15380.0318,
772.147, "B3", 1L, 11647.7379, 15675.0548,
783.218, "B3", 1L, 11282.5669, 16118.4168,
794.288, "B3", 1L, 10938.0509, 13844.7888,
805.358, "B3", 1L, 10122.8809, 13359.2238,
816.428, "B3", 1L, 9545.4309, 13025.6378,
827.498, "B3", 1L, 8425.0509, 11399.0868,
838.569, "B3", 1L, 8079.1629, 10556.0848,
849.639, "B3", 1L, 7636.3579, 8793.4578,
860.709, "B3", 1L, 6815.7759, 6752.3778,
871.779, "B3", 1L, 5946.2199, 6594.9078,
882.849, "B3", 1L, 4956.9729, 5291.1728,
893.92, "B3", 1L, 4383.4669, 5373.5128,
904.99, "B3", 1L, 3234.3959, 4134.4878,
916.06, "B3", 1L, 1783.3959, 2922.8588,
927.13, "B3", 1L, 380.0739, 2476.4528,
938.201, "B3", 1L, 311.5419, 2593.2308,
949.271, "B3", 1L, 113.1429, 2318.2268,
960.341, "B3", 1L, 196.9929, 1951.3948,
971.411, "B3", 1L, 253.6579, 1930.0238,
982.481, "B3", 1L, 183.2229, 1301.4458,
993.552, "B3", 1L, 176.3239, 874.2718,
1004.622, "B3", 1L, 32.8069, 460.3868,
1015.692, "B3", 1L, 123.8069, 424.9028,
1026.762, "B3", 1L, 94.9729, 529.0918,
1037.832, "B3", 1L, 80.8898999999999, 158.8838,
1048.903, "B3", 1L, 159.4869, 331.0288,
1059.973, "B3", 1L, 66.7019, 354.8768,
1071.043, "B3", 1L, 82.0128999999999, 216.2888,
1082.113, "B3", 1L, -17.3681000000001, 566.9668,
1093.183, "B3", 1L, -3.30010000000016, 258.0708,
1104.254, "B3", 1L, 41.8769, 272.4608,
1115.324, "B3", 1L, -35.3581000000001, 353.4208,
1126.394, "B3", 1L, 146.3999, 160.8448,
1137.464, "B3", 1L, 31.7738999999999, 116.4068,
1148.535, "B3", 1L, 98.4539, 132.8718,
1159.605, "B3", 1L, 129.2769, 194.9508,
1170.675, "B3", 1L, 65.5009, 32.5708,
1181.745, "B3", 1L, 103.9029, 101.6448,
1192.815, "B3", 1L, 66.7538999999999, 158.0018,
1203.886, "B3", 1L, 21.6559, 132.5638,
1214.956, "B3", 1L, 32.7779, 99.4567999999999,
1226.026, "B3", 1L, 75.2438999999999, 102.6528,
1237.096, "B3", 1L, -3.24710000000005, 99.1088,
1248.167, "B3", 1L, 66.9458999999999, 158.6808,
1259.237, "B3", 1L, 51.1239, 0.556800000000294,
1270.307, "B3", 1L, 86.7999, 233.1948,
1281.377, "B3", 1L, 72.9568999999999, 55.3368,
1292.447, "B3", 1L, -22.8971000000001, 72.8468000000003,
1303.518, "B3", 1L, 12.4219000000001, -79.8912,
1314.588, "B3", 1L, 153.3359, 2.94680000000017,
1325.658, "B3", 1L, 58.8808999999999, 66.2298000000001,
1336.728, "B3", 1L, 52.7268999999999, 52.4018000000001,
1347.798, "B3", 1L, 139.8269, 86.9678000000004,
1358.869, "B3", 1L, 89.9478999999999, 83.9048000000003,
1369.939, "B3", 1L, 154.4319, 120.0268,
1381.009, "B3", 1L, 148.3779, -14.7981999999997,
1392.079, "B3", 1L, 108.0579, -46.4422,
1403.15, "B3", 1L, 82.3928999999998, 20.2648000000004,
1414.22, "B3", 1L, 45.4388999999999, -136.3362
)}
test$channel <- as.character(test$channel)library(tidyverse)
save_plot2 <- function(graph, graph_name, type=""){
if(type !="")
graph_name <- names(dfs_by_well)
graph_name <- paste0(graph_name, type)
filename <- paste0(graph_name, ".tiff")
filename <- file.path("L:/Lab_GlenB/Mei Fong/test", filename)
ggsave(filename, graph, device = "tiff")
}
list_of_dfs_test = test %>% bind_rows()
dfs_by_well <- split(list_of_dfs_test, list_of_dfs_test$well)
purrr::imap(dfs_by_well, function(DF, graph_name) {
graph <- DF %>%
ggplot(aes(X, colour = channel)) +
geom_line(aes(y = D0_xbl)) +
geom_line(aes(y = D2_xbl)) +
scale_colour_manual(
name = NULL,
values = c("#215968", "#C9C400"),
breaks = c("1", "2"),
labels = c("GFP", "mCherry")
) +
theme(
legend.position = c(.95, .95),
legend.justification = c("right", "top")
) +
ggtitle(graph_name) +
labs(
x = element_blank(),
y = "Fluorescence intensity"
)
# graph
save_plot2(graph, graph_name)
})我的图表的例子：
我的数据状况：
- 多个数据帧，其中每个数据帧有3个时间点。
- 一些数据帧有一个通道(例1)，一些数据帧有两个通道(示例2)。
目标是用对齐的图形绘制每个数据帧，这样我就可以计算时间点之间的差异。前面的示例将图与峰值对齐，但我认为我的情况是不可能的。我在考虑与中间(宽度)对齐吗？
真的很感激有人能帮忙！！
回答 1
Stack Overflow用户
回答已采纳
发布于 2022-06-29 02:46:05
我设法用一个比预期更简单的方法得到我需要的图表。
首先，我设置了一个阈值，以便删除所有基线。然后，从那里我找到了中位数。接下来，我用x减去中位数，得到新的x轴，这样所有的图都有x=0作为中点，然后画出图。
dfs_D0 <- mutate(D0_median = median(X[D0_xbl>1500])) %>%
transform (D0_x = X-D0_median)
dfs_D2 <- mutate(D2_median = median(X[D2_xbl>1500])) %>%
transform (D2_x = X-D2_median)
dfs_D4 <- mutate(D4_median = median(X[D4_xbl>1500])) %>%
transform (D4_x = X-D4_median)
all_dfs <- reduce(list(dfs_D0, dfs_D2, dfs_D4), left_join, by = c("X", "id", "set")) %>%
separate(id, c("prefix", "channel", "well", "csv"),
sep="[[:punct:]]") %>%
select(well, set, channel, D0_x, D0_xbl, D0_mean_sd, D2_x, D2_xbl, D2_mean_sd, D4_x, D4_xbl, D4_mean_sd)然后使用上面的代码来绘制图表。编辑x轴要比一直思考如何将图形叠加在一起要容易得多。但是，如果有人有其他的想法，也请告诉我。谢谢!
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/72639279
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