我正在处理基于自治市镇属性的聚集数据集（AggregateSS），该属性具有多个连续变量，并具有自治市镇细分。我正在尝试通过散点图中的数据点绘制一条最合适的线，但出现以下错误消息：data.frame（x = x，y = y，grp = grp）中的错误： 参数暗示不同的行数：32，0
我有32行数据，并且任何地方都没有丢失的数据。有人可以帮我解决这个问题吗？
dput(AggregateSS)
structure(list(borough = structure(c("Barking and Dagenham",
"Barnet", "Bexley", "Brent", "Bromley", "Camden", "Croydon",
"Ealing", "Enfield", "Greenwich", "Hackney", "Hammersmith and Fulham",
"Haringey", "Harrow", "Havering", "Hillingdon", "Hounslow",
"Islington",
"Kensington and Chelsea", "Kingston upon Thames", "Lambeth",
"Lewisham", "Merton", "Newham", "Redbridge", "Richmond upon Thames",
"Southwark", "Sutton", "Tower Hamlets", "Waltham Forest", "Wandsworth",
"Westminster"), format.spss = "A30", display_width = 20L), riskcateg =
structure(c("low risk",
"high risk", "medium risk", "high risk", "high risk", "medium risk",
"high risk", "high risk", "high risk", "medium risk", "medium risk",
"low risk", "medium risk", "medium risk", "medium risk", "medium risk",
"medium risk", "medium risk", "low risk", "low risk", "high risk",
"high risk", "medium risk", "high risk", "high risk", "low risk",
"high risk", "low risk", "medium risk", "medium risk", "high risk",
"medium risk"), format.spss = "A20"), perwhite = structure(c(49.5,
68.7, 79.4, 37.4, 78.4, 62.4, 55.8, 46.4, 64.6, 63.6, 54.5, 67.4,
66.9, 44.8, 85.8, 55.9, 44.4, 64.5, 63.5, 71.9, 67.5, 63.2, 64.6,
31.9, 37.6, 83.5, 57.9, 68.6, 40.8, 55.9, 71.6, 55.8), format.spss =
"F8.1"),
perBME = structure(c(50.5, 31.3, 20.6, 62.6, 31.6, 37.6,
44.2, 53.6, 35.4, 36.4, 45.5, 32.6, 33.1, 55.2, 14.2, 44.1,
55.6, 35.5, 36.5, 28.1, 32.5, 36.8, 35.4, 68.1, 62.4, 16.5,
42.1, 31.4, 59.2, 44.1, 28.4, 44.2), format.spss = "F8.1"),
unemprate = structure(c(31.1, 27.9, 23.6, 28.5, 22.7, 27.4,
23.7, 26.6, 30.4, 28.9, 30, 23.1, 26.4, 22, 21.1, 24.8, 24.3,
24.8, 40.8, 28, 23.6, 21.2, 18.1, 31.3, 31, 22.2, 22.7, 19.9,
27.1, 21.8, 19.4, 31.8), format.spss = "F8.1"), crimerate =
structure(c(2.3,
4.3, 2.9, 3.6, 3.9, 2.8, 4.5, 4.1, 3.8, 3.1, 3.1, 2.4, 3,
2.7, 3, 3.3, 2.9, 2.7, 2.2, 1.9, 3.8, 3.6, 2.5, 3.5, 3.3,
2.3, 3.6, 2.4, 3.1, 3, 3.7, 2.7), format.spss = "F8.1"),
knifetotal = structure(c(109, 186, 128, 166, 168, 122, 201,
186, 176, 142, 141, 111, 138, 113, 131, 143, 134, 122, 100,
74, 175, 167, 103, 161, 150, 95, 159, 105, 136, 139, 161,
118), format.spss = "F8.0"), kniferateborough = structure(c(3.9,
3.6, 3.7, 3.8, 3.5, 3.6, 3.7, 3.7, 3.8, 3.7, 3.8, 3.7, 3.7,
3.4, 3.6, 3.6, 3.8, 3.8, 3.8, 3.1, 3.8, 3.8, 3.4, 3.8, 3.7,
3.4, 3.7, 3.6, 3.7, 3.8, 3.6, 3.6), format.spss = "F8.1"),
kniferatetotal = structure(c(2.4, 4.2, 2.9, 3.7, 3.7, 2.7,
4.5, 4.2, 3.9, 3.2, 3.2, 2.5, 3.1, 2.5, 2.9, 3.2, 3, 2.7,
2.2, 1.7, 3.9, 3.7, 2.3, 3.6, 3.4, 2.1, 3.6, 2.4, 3, 3.1,
3.6, 2.6), format.spss = "F8.1"), SStotal = structure(c(5548,
3986, 4021, 14719, 7182, 12075, 10281, 9347, 7018, 7529,
11383, 8142, 13173, 4362, 3554, 7393, 8298, 11162, 15519,
3870, 25014, 10797, 3930, 15499, 4967, 2587, 18329, 2668,
15411, 11005, 5452, 20612), format.spss = "F8.0"), SSoffethn_asian =
structure(c(1092,
618, 128, 2201, 249, 1525, 1080, 2744, 412, 699, 1721, 581,
657, 948, 261, 1652, 2248, 1199, 1280, 497, 968, 566, 754,
5037, 1940, 304, 1021, 168, 9636, 2880, 637, 2020), format.spss = "F8.0"),
SSoffethn_black = structure(c(1623, 1417, 657, 8169, 2309,
4825, 5055, 3685, 3312, 3206, 5940, 3533, 6759, 1660, 874,
2107, 2106, 4339, 6045, 799, 16633, 6344, 1095, 5805, 1175,
431, 10685, 629, 2344, 4061, 2643, 7868), format.spss = "F8.0"),
SSoffethn_white = structure(c(2707, 1668, 3052, 3391, 4419,
5157, 3557, 2334, 3056, 3392, 3350, 3182, 5310, 1478, 2358,
3256, 3526, 5176, 6421, 2366, 6731, 3584, 1979, 4280, 1693,
1755, 6180, 1796, 3020, 3715, 1978, 8017), format.spss = "F8.0"),
SSoffethn_other = structure(c(33, 219, 23, 790, 85, 397,
439, 478, 122, 95, 218, 708, 241, 198, 26, 190, 300, 264,
1626, 123, 377, 141, 48, 156, 95, 53, 244, 24, 147, 128,
95, 2495), format.spss = "F8.0"), SSselfethn_asian = structure(c(995,
569, 86, 2040, 190, 1182, 957, 2515, 343, 512, 1453, 432,
533, 870, 201, 1520, 1970, 895, 1193, 418, 756, 487, 586,
4491, 1745, 246, 789, 140, 9094, 2413, 498, 1881), format.spss = "F8.0"),
SSselfethn_black = structure(c(1352, 1057, 523, 6629, 1846,
3510, 3734, 2970, 2775, 2488, 4801, 2385, 5335, 1306, 671,
1807, 1614, 3121, 4206, 584, 12421, 5145, 779, 4851, 974,
259, 8357, 445, 1839, 3189, 1767, 5695), format.spss = "F8.0"),
SSselfethn_white = structure(c(2522, 1506, 2934, 2963, 4177,
4514, 3091, 2127, 2566, 3150, 2925, 2760, 4322, 1342, 2165,
3128, 3256, 4494, 5577, 2240, 5533, 3243, 1803, 3935, 1554,
1638, 5243, 1734, 2850, 3243, 1748, 6778), format.spss = "F8.0"),
SSselfethn_mixed = structure(c(176, 209, 83, 578, 293, 523,
530, 343, 333, 260, 525, 372, 519, 185, 137, 215, 296, 607,
871, 175, 1203, 396, 154, 480, 169, 132, 701, 123, 379, 419,
339, 978), format.spss = "F8.0"), SSselfethn_other = structure(c(87,
103, 38, 412, 93, 280, 206, 240, 239, 147, 260, 322, 363,
95, 42, 150, 214, 286, 744, 97, 330, 172, 78, 282, 81, 42,
387, 27, 164, 195, 76, 1201), format.spss = "F8.0"), SSobj_weap = structure(c(248,
140, 206, 927, 630, 697, 856, 533, 604, 796, 1264, 396, 1175,
318, 290, 380, 404, 812, 579, 120, 2608, 872, 144, 1040,
203, 94, 2241, 107, 1362, 150, 476, 914), format.spss = "F8.0"),
SSobj_weap_boroughrate = structure(c(4.5, 3.5, 5.1, 6.3,
8.8, 5.8, 8.3, 5.7, 8.6, 10.6, 11.1, 4.9, 9, 7.3, 8.2, 5.1,
4.9, 7.3, 3.7, 3.1, 10.4, 8.1, 3.7, 6.7, 4.1, 3.6, 12.2,
4, 8.8, 1.4, 8.7, 4.4), format.spss = "F8.1"), SSobj_stolen = structure(c(186,
179, 194, 507, 556, 532, 380, 273, 245, 344, 522, 406, 580,
193, 186, 431, 315, 534, 466, 134, 927, 365, 225, 683, 204,
126, 747, 190, 429, 477, 267, 1404), format.spss = "F8.0"),
SSobj_stolen_boroughrate = structure(c(3.4, 4.5, 4.8, 3.4,
7.7, 4.4, 3.7, 2.9, 3.5, 4.6, 4.6, 5, 4.4, 4.4, 5.2, 5.8,
3.8, 4.8, 3, 3.5, 3.7, 3.4, 5.7, 4.4, 4.1, 4.9, 4.1, 7.1,
2.8, 4.3, 4.9, 6.9), format.spss = "F8.1"), SSobj_drugs = structure(c(3877,
2498, 2517, 9511, 3166, 8324, 6459, 6454, 4396, 4402, 6098,
4706, 7432, 2631, 2104, 4800, 5629, 6383, 8171, 2419, 14165,
6102, 2115, 10249, 3370, 1145, 9999, 1607, 10964, 6595, 2737,
10700), format.spss = "F8.0"), SSobj_drugs_boroughrate = structure(c(69.9,
62.7, 62.6, 64.6, 44.1, 68.9, 62.8, 69, 62.6, 58.5, 53.6,
57.8, 56.4, 60.3, 59.2, 64.9, 66.6, 57.2, 52.7, 62.5, 56.6,
56.5, 53.9, 66.1, 67.9, 44.3, 54.6, 60.2, 71.1, 59.9, 50.2,
51.9), format.spss = "F8.1"), SSobj_crimdam = structure(c(1016,
994, 870, 2973, 2227, 2085, 2120, 1781, 1439, 1592, 2712,
2282, 3313, 982, 791, 1464, 1572, 2971, 3880, 1057, 6324,
2913, 1241, 2563, 992, 1069, 4564, 633, 2112, 1822, 1623,
4943), format.spss = "F8.0"), SSobj_crimdam_boroughrate = structure(c(18.3,
24.9, 21.6, 20.2, 31, 17.3, 20.6, 19.1, 20.5, 21.1, 23.8,
28, 25.2, 22.5, 22.3, 19.8, 18.9, 26.6, 25, 27.3, 25.3, 27,
31.6, 16.5, 20, 41.3, 24.9, 23.7, 13.7, 16.6, 29.8, 24), format.spss = "F8.1"),
SSarrestrate = structure(c(15.5, 19.5, 17.9, 17, 22.2, 16.2,
21.5, 17.6, 20.1, 19.3, 22, 19, 19.3, 16.3, 16.8, 19.1, 20.9,
16.7, 15.4, 21, 17.9, 22.9, 23.1, 19.4, 18.7, 21.7, 17.9,
23.7, 16.1, 14, 21.4, 14.6), format.spss = "F8.1"), SSnfoundnfarate = structure(c(39.6,
47.9, 39.6, 43.6, 37.6, 40.1, 38, 43.8, 41.6, 39.7, 36.3,
48.8, 42.2, 42.5, 42.9, 39.6, 39.8, 45.1, 42.1, 48.3, 45.3,
44.7, 43.7, 37.2, 44.3, 52.4, 41.5, 43.1, 35.1, 38.1, 43.3,
43.9), format.spss = "F8.1")), row.names = c(NA, -32L), class =
c("tbl_df",
"tbl", "data.frame"))
首先，我为变量'perwhite'，'SStotal'作了散点图：
plot_scatter(AggregateSS, perwhite, SStotal)
这行得通，然后我想使线条合适并标记点：
plot_scatter(AggregateSS, perwhite, SStoal, dot.labels = AggregateSS$borough, fit.line = lm)
data.frame中的错误（x = x，y = y，grp = grp）： 参数暗示不同的行数：32，0
我尝试了没有标签，但是出现了相同的错误消息。