mtcars_tbl <- rownames_to_column(mtcars, var = 'car') %>%
mutate(cyl = factor(cyl))
> mtcars_tbl
car mpg cyl disp hp drat wt qsec vs am gear carb
1 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
2 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
3 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
4 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
5 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
6 Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
7 Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
8 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
9 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
10 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
11 Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
12 Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
13 Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
14 Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
15 Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
16 Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
17 Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
18 Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
19 Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
20 Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
21 Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
22 Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
23 AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
24 Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
25 Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
26 Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
27 Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
28 Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
29 Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
30 Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
31 Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
32 Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
mpg 降序排列
mtcars_tbl <- arrange(mtcars_tbl, cyl, mpg)
> mtcars_tbl
car mpg cyl disp hp drat wt qsec vs am gear carb
1 Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
2 Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
3 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
4 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
5 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
6 Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
7 Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
8 Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
9 Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
10 Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
11 Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
12 Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
13 Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
14 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
15 Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
16 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
17 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
18 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
19 Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
20 Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
21 Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
22 Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
23 Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
24 Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
25 Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
26 AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
27 Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
28 Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
29 Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
30 Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
31 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
32 Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
# 设置 car 的因子顺序为表中顺序
mtcars_tbl <- mutate(mtcars_tbl, car = factor(car, levels = car))
> mtcars_tbl
car mpg cyl disp hp drat wt qsec vs am gear carb
1 Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
2 Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
3 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
4 Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
5 Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
6 Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
7 Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
8 Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
9 Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
10 Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
11 Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
12 Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
13 Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
14 Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
15 Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
16 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
17 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
18 Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
19 Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
20 Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
21 Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
22 Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
23 Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
24 Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
25 Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
26 AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
27 Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
28 Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
29 Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
30 Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
31 Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
32 Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
# 画图的代码不需要任何修改
ggplot(mtcars_tbl, aes(x = car, y = mpg, color = cyl)) +
geom_segment(aes(x = car,
xend = car,
y = 0,
yend = mpg)) +
geom_point(aes(x = car, y = mpg, ), size = 4) +
scale_color_npg() +
labs(color = 'cyl') +
theme_classic() +
theme(axis.title.x = element_blank(),
axis.text.x = element_text(angle = 90,
hjust = 1,
vjust = 0.3),
legend.position = c(0.5, 0.9),
legend.direction = "horizontal")
image.png
网友评论