Мои другие Вопросы были помечены как дубликаты (я использовал общий пример, а не мои реальные данные), поэтому я открыл новый.
Итак, еще раз, я надеюсь, что в этот раз станет ясно, в чем моя проблема.
У меня есть следующий фрейм данных, названный «sample» (он извлечен из моего реального фрейма данных):
county testscr str
1 Alameda 690.80 17.88991
2 Butte 661.20 21.52466
3 Butte 643.60 18.69723
4 Butte 647.70 17.35714
5 Butte 640.85 18.67133
6 Fresno 605.55 21.40625
7 San Joaquin 606.75 19.50000
8 Kern 609.00 20.89412
9 Fresno 612.50 19.94737
10 Sacramento 612.65 20.80556
11 Merced 615.75 21.23809
12 Fresno 616.30 21.00000
13 Tulare 616.30 20.60000
14 Tulare 616.30 20.00822
15 Tulare 616.45 18.02778
16 Tulare 617.35 20.25196
17 Kern 618.05 16.97787
18 Kern 618.30 16.50980
19 Los Angeles 619.80 22.70402
20 Kern 620.30 19.91111
Я построил переменную testscr против str и добавил линейную линию регрессии к графику, используя ggplot
ggplot(data=sample,aes(x=str,y=testscr))+
geom_point()+
geom_smooth(method="lm")
Теперь я хочу выделить / раскрасить все точки, которые имеют «Батт», «Лос-Анджелес» и «Фресно» в качестве значения округа. Все три из них должны иметь разные цвета, а остальные точки должны быть черными.
dput(sample)
structure(list(county = structure(c(1L, 2L, 2L, 2L, 2L, 6L, 29L,
11L, 6L, 25L, 19L, 6L, 42L, 42L, 42L, 42L, 11L, 11L, 15L, 11L,
9L, 42L, 11L, 42L, 19L, 42L, 20L, 11L, 42L, 42L, 28L, 20L, 15L,
20L, 27L, 15L, 19L, 6L, 31L, 11L, 44L, 19L, 11L, 11L, 24L, 15L,
33L, 11L, 11L, 33L, 15L, 16L, 20L, 32L, 15L, 15L, 15L, 25L, 20L,
44L, 42L, 25L, 22L, 12L, 12L, 11L, 15L, 12L, 28L, 37L, 11L, 15L,
12L, 19L, 32L, 27L, 4L, 8L, 36L, 36L, 44L, 6L, 19L, 19L, 6L,
27L, 24L, 15L, 11L, 42L, 25L, 13L, 33L, 2L, 31L, 42L, 15L, 9L,
9L, 15L, 11L, 11L, 39L, 18L, 27L, 26L, 15L, 2L, 11L, 44L, 6L,
15L, 16L, 22L, 42L, 33L, 9L, 28L, 35L, 42L, 40L, 42L, 6L, 20L,
42L, 24L, 37L, 15L, 40L, 31L, 36L, 11L, 38L, 43L, 31L, 5L, 19L,
29L, 6L, 25L, 38L, 19L, 44L, 8L, 8L, 28L, 13L, 8L, 44L, 40L,
25L, 29L, 36L, 38L, 6L, 22L, 22L, 12L, 42L, 28L, 35L, 19L, 39L,
28L, 15L, 11L, 39L, 28L, 27L, 22L, 37L, 35L, 40L, 43L, 36L, 8L,
4L, 43L, 23L, 37L, 37L, 38L, 35L, 8L, 42L, 7L, 37L, 14L, 9L,
14L, 22L, 37L, 32L, 8L, 39L, 35L, 11L, 28L, 34L, 24L, 11L, 33L,
9L, 29L, 40L, 8L, 35L, 15L, 21L, 42L, 11L, 25L, 26L, 28L, 39L,
6L, 4L, 36L, 29L, 33L, 12L, 38L, 29L, 23L, 26L, 5L, 27L, 35L,
21L, 31L, 12L, 35L, 3L, 17L, 28L, 33L, 39L, 21L, 8L, 37L, 31L,
40L, 22L, 27L, 15L, 8L, 27L, 30L, 33L, 5L, 15L, 10L, 32L, 16L,
36L, 37L, 21L, 42L, 42L, 43L, 15L, 19L, 31L, 33L, 37L, 11L, 31L,
43L, 23L, 38L, 14L, 35L, 42L, 15L, 33L, 15L, 37L, 11L, 35L, 23L,
36L, 37L, 16L, 8L, 5L, 37L, 40L, 37L, 37L, 23L, 34L, 8L, 27L,
23L, 5L, 22L, 7L, 31L, 32L, 27L, 37L, 33L, 32L, 28L, 22L, 32L,
34L, 7L, 37L, 21L, 12L, 28L, 14L, 44L, 43L, 36L, 37L, 28L, 37L,
8L, 11L, 42L, 33L, 11L, 12L, 28L, 28L, 42L, 28L, 22L, 15L, 15L,
17L, 33L, 40L, 8L, 28L, 35L, 11L, 33L, 22L, 5L, 5L, 23L, 5L,
8L, 15L, 23L, 23L, 37L, 31L, 21L, 16L, 30L, 14L, 6L, 37L, 37L,
31L, 5L, 23L, 28L, 5L, 21L, 37L, 8L, 41L, 21L, 23L, 44L, 41L,
35L, 21L, 8L, 37L, 28L, 17L, 33L, 15L, 37L, 20L, 37L, 33L, 37L,
37L, 38L, 17L, 32L, 37L, 17L, 34L, 31L, 35L, 34L, 34L, 4L, 32L,
17L, 33L, 34L, 33L, 32L, 28L, 31L, 17L, 17L, 4L, 28L, 31L, 4L,
4L, 31L, 32L, 31L, 33L, 31L, 33L, 44L, 45L, 45L), .Label = c("Alameda",
"Butte", "Calaveras", "Contra Costa", "El Dorado", "Fresno",
"Glenn", "Humboldt", "Imperial", "Inyo", "Kern", "Kings", "Lake",
"Lassen", "Los Angeles", "Madera", "Marin", "Mendocino", "Merced",
"Monterey", "Nevada", "Orange", "Placer", "Riverside", "Sacramento",
"San Benito", "San Bernardino", "San Diego", "San Joaquin", "San Luis Obispo",
"San Mateo", "Santa Barbara", "Santa Clara", "Santa Cruz", "Shasta",
"Siskiyou", "Sonoma", "Stanislaus", "Sutter", "Tehama", "Trinity",
"Tulare", "Tuolumne", "Ventura", "Yuba"), class = "factor"),
testscr = c(690.8, 661.2, 643.6, 647.7, 640.85, 605.55, 606.75,
609, 612.5, 612.65, 615.75, 616.3, 616.3, 616.3, 616.45,
617.35, 618.05, 618.3, 619.8, 620.3, 620.5, 621.4, 621.75,
622.05, 622.6, 623.1, 623.2, 623.45, 623.6, 624.15, 624.55,
624.95, 625.3, 625.85, 626.1, 626.8, 626.9, 627.1, 627.25,
627.3, 628.25, 628.4, 628.55, 628.65, 628.75, 629.8, 630.35,
630.4, 630.55, 630.55, 631.05, 631.4, 631.85, 631.9, 631.95,
632, 632.2, 632.25, 632.45, 632.85, 632.95, 633.05, 633.15,
633.65, 633.9, 634, 634.05, 634.1, 634.1, 634.15, 634.2,
634.4, 634.55, 634.7, 634.9, 634.95, 635.05, 635.2, 635.45,
635.6, 635.6, 635.75, 635.95, 636.1, 636.5, 636.6, 636.7,
636.9, 636.95, 637, 637.1, 637.35, 637.65, 637.95, 637.95,
638, 638.2, 638.3, 638.3, 638.35, 638.55, 638.7, 639.25,
639.3, 639.35, 639.5, 639.75, 639.8, 639.85, 639.9, 640.1,
640.15, 640.5, 640.75, 640.9, 641.1, 641.45, 641.45, 641.55,
641.8, 642.2, 642.2, 642.4, 642.75, 643.05, 643.2, 643.25,
643.4, 643.4, 643.5, 643.5, 643.7, 643.7, 644.2, 644.2, 644.4,
644.45, 644.45, 644.5, 644.55, 644.7, 644.95, 645.1, 645.25,
645.55, 645.55, 645.6, 645.75, 645.75, 646, 646.2, 646.35,
646.4, 646.5, 646.55, 646.7, 646.9, 646.95, 647.05, 647.25,
647.3, 647.6, 647.6, 648, 648.2, 648.25, 648.35, 648.7, 648.95,
649.15, 649.3, 649.5, 649.7, 649.85, 650.45, 650.55, 650.6,
650.65, 650.9, 650.9, 651.15, 651.2, 651.35, 651.4, 651.45,
651.8, 651.85, 651.9, 652, 652.1, 652.1, 652.3, 652.3, 652.35,
652.4, 652.4, 652.5, 652.85, 653.1, 653.4, 653.5, 653.55,
653.55, 653.7, 653.8, 653.85, 653.95, 654.1, 654.2, 654.2,
654.3, 654.6, 654.85, 654.85, 654.9, 655.05, 655.05, 655.05,
655.2, 655.3, 655.35, 655.35, 655.4, 655.55, 655.7, 655.8,
655.85, 656.4, 656.5, 656.55, 656.65, 656.7, 656.8, 656.8,
657, 657, 657.15, 657.4, 657.5, 657.55, 657.65, 657.75, 657.8,
657.9, 658, 658.35, 658.6, 658.8, 659.05, 659.15, 659.35,
659.4, 659.4, 659.8, 659.9, 660.05, 660.1, 660.2, 660.3,
660.75, 660.95, 661.35, 661.45, 661.6, 661.6, 661.85, 661.85,
661.85, 661.9, 661.9, 661.95, 662.4, 662.4, 662.45, 662.5,
662.55, 662.55, 662.65, 662.7, 662.75, 662.9, 663.35, 663.45,
663.5, 663.85, 663.85, 663.9, 664, 664, 664.15, 664.15, 664.3,
664.4, 664.45, 664.7, 664.75, 664.95, 664.95, 665.1, 665.2,
665.35, 665.65, 665.9, 665.95, 666, 666.05, 666.1, 666.15,
666.15, 666.45, 666.55, 666.6, 666.65, 666.65, 666.7, 666.85,
666.85, 667.15, 667.2, 667.45, 667.45, 667.6, 668, 668.1,
668.4, 668.6, 668.65, 668.8, 668.9, 668.95, 669.1, 669.3,
669.3, 669.35, 669.35, 669.8, 669.85, 669.95, 670, 670.7,
671.25, 671.3, 671.6, 671.6, 671.65, 671.7, 671.75, 671.9,
671.9, 671.95, 672.05, 672.05, 672.3, 672.35, 672.45, 672.55,
672.7, 673.05, 673.25, 673.3, 673.55, 673.55, 673.9, 674.25,
675.4, 675.7, 676.15, 676.55, 676.6, 676.85, 676.95, 677.25,
677.95, 678.05, 678.4, 678.8, 679.4, 679.5, 679.65, 679.75,
679.8, 680.05, 680.45, 681.3, 681.3, 681.6, 681.9, 682.15,
682.45, 682.55, 682.65, 683.35, 683.4, 684.3, 684.35, 684.8,
684.95, 686.05, 686.7, 687.55, 689.1, 691.05, 691.35, 691.9,
693.95, 694.25, 694.8, 695.2, 695.3, 696.55, 698.2, 698.25,
698.45, 699.1, 700.3, 704.3, 706.75, 645, 672.2, 655.75),
str = c(17.88991, 21.52466, 18.69723, 17.35714, 18.67133,
21.40625, 19.5, 20.89412, 19.94737, 20.80556, 21.23809, 21,
20.6, 20.00822, 18.02778, 20.25196, 16.97787, 16.5098, 22.70402,
19.91111, 18.33333, 22.61905, 19.44828, 25.05263, 20.67544,
18.68235, 22.84553, 19.26667, 19.25, 20.54545, 20.60697,
21.07268, 21.53581, 19.904, 21.19407, 21.86535, 18.32965,
16.22857, 19.17857, 20.27737, 22.98614, 20.44444, 19.82085,
23.20522, 19.26697, 23.30189, 21.18829, 20.8718, 19.01749,
21.91938, 20.10124, 21.47651, 20.06579, 20.3751, 22.44648,
22.89524, 20.49797, 20, 22.25658, 21.56436, 19.47737, 17.67002,
21.94756, 21.78339, 19.14, 18.1105, 20.68242, 22.62361, 21.7865,
18.58293, 21.54545, 21.15289, 16.63333, 21.14438, 19.78182,
18.98373, 17.66767, 17.75499, 15.27273, 14, 20.59613, 16.31169,
21.12796, 17.48801, 17.88679, 19.30676, 20.89231, 21.28684,
20.1956, 24.95, 18.13043, 20, 18.72951, 18.25, 18.99257,
19.88764, 19.37895, 20.46259, 22.29157, 20.70474, 19.06005,
20.23247, 19.69012, 20.36254, 19.75422, 19.37977, 22.92351,
19.3734, 19.15516, 21.3, 18.30357, 21.07926, 18.79121, 19.62662,
19.59016, 20.87187, 21.115, 20.08452, 19.91049, 17.81285,
18.13333, 19.22221, 18.66072, 19.6, 19.28384, 22.81818, 18.80922,
21.37363, 20.02041, 21.49862, 15.42857, 22.4, 20.12709, 19.03798,
17.34216, 17.01863, 20.8, 21.15385, 18.45833, 19.14082, 19.40766,
19.56896, 21.5012, 17.52941, 16.43017, 19.79654, 17.18613,
17.61589, 20.12537, 22.16667, 19.96154, 19.03945, 15.22436,
21.14475, 19.6439, 21.04869, 20.17544, 21.3913, 20.00833,
20.29137, 17.66667, 18.22055, 20.271, 20.19895, 21.38424,
20.97368, 20, 17.15328, 22.34977, 22.17007, 18.18182, 18.95714,
19.74533, 16.42623, 16.6254, 16.38177, 20.07416, 17.99544,
19.3913, 16.42857, 16.72949, 24.41345, 18.26415, 18.95504,
21.03896, 20.74074, 18.1, 19.84615, 21.6, 22.44242, 23.01438,
17.74892, 18.28664, 19.26544, 22.66667, 19.29412, 17.36364,
19.82143, 20.43378, 21.03721, 19.92462, 19.00986, 23.82222,
19.36909, 19.82857, 15.25885, 17.16129, 21.81333, 19.07471,
25.78512, 18.21261, 18.16606, 16.97297, 21.50087, 20.6, 16.99029,
20.77954, 15.51247, 19.88506, 21.39882, 20.49751, 19.36376,
17.65957, 21.01796, 19.05565, 22.53846, 21.10787, 20.05135,
14.20176, 18.47687, 18.63542, 20.94595, 21.08548, 18.69288,
20.86808, 19.82558, 19.75, 19.5, 18.3908, 18.78676, 19.77018,
19.33333, 21.46392, 23.08492, 21.06299, 18.68687, 20.77024,
19.30556, 20.1328, 20.66964, 22.28155, 20.60027, 20.82734,
19.22492, 17.65477, 17, 16.49773, 19.78261, 22.30216, 17.73077,
20.44836, 20.37169, 20.16479, 21.61538, 20.56143, 19.95551,
21.18387, 18.81042, 20.57838, 18.32461, 18.82063, 20.81633,
20, 19.68182, 19.39018, 20.92732, 19.94437, 20.79109, 19.20354,
19.02439, 17.62058, 20.23715, 19.29374, 18.82998, 20.33949,
19.229, 17.8913, 19.51881, 19.08451, 19.93548, 18.87326,
20.14178, 23.55637, 21.46479, 19.19101, 20.1308, 25.8, 18.77774,
19.10982, 19.70109, 18.61594, 20.99721, 20, 20.98325, 21.64262,
20.02967, 19.8114, 18, 19.35811, 20.17912, 21.11986, 23.38974,
22.18182, 19.94283, 17.78826, 14.70588, 19.04077, 20.89195,
19.83851, 19.52191, 20.68622, 18.18182, 18.89224, 24.88889,
18.58064, 18.04, 17.73399, 21.45455, 19.92343, 20.33942,
22.54608, 21.10344, 18.19743, 20.10768, 19.15984, 19.54545,
20.88889, 18.3915, 19.1799, 19.39771, 21.67827, 19.28889,
20.34927, 20.96416, 19.46039, 19.28572, 20.91979, 20.90021,
20.59575, 19.375, 19.95122, 18.84973, 18.11787, 19.18341,
22, 21.58416, 20.38889, 16.2931, 18.27778, 19.37472, 18.90909,
16.40693, 15.5914, 18.70694, 18.32985, 17.90235, 18.91157,
20.32497, 20.02457, 24, 17.60784, 19.34853, 19.67846, 18.72861,
15.88235, 20.05491, 17.98825, 16.96629, 19.23937, 19.19586,
19.59906, 20.54348, 18.58848, 15.60419, 15.29304, 17.65537,
17.57976, 22.33333, 18.75, 18.10241, 20.25641, 18.80207,
18.7723, 20.40521, 18.65079, 20.70707, 22, 17.69978, 21.48329,
16.70103, 19.57567, 17.25806, 17.37526, 17.34931, 16.26229,
17.70045, 20.12881, 18.26539, 14.54214, 19.15261, 17.36574,
15.13898, 17.84266, 15.40704, 18.86534, 16.47413, 17.86263,
21.88586, 20.2, 19.0364)), class = "data.frame", row.names = c(NA,
-420L))