R语言 彩色垂直线和图形

5vf7fwbs  于 2023-01-22  发布在  其他
关注(0)|答案(2)|浏览(129)

我得到了这个数据：

structure(list(id = c("AC12-PRD-C1", "AC12-PRD-C1", "AC12-PRD-C1", 
"AC12-PRD-C1", "AC12-PRD-C1", "AC12-PRD-C1", "AC12-PRD-C1", "AL13-PRD-C1", 
"AL13-PRD-C1", "AL13-PRD-C1", "AL13-PRD-C1", "AL13-PRD-C1", "AL13-PRD-C1", 
"AL13-PRD-C1", "AL13-PRD-C1", "BM06-PRD-S1", "BM06-PRD-S1", "BM06-PRD-S1", 
"BM06-PRD-S1", "BM06-PRD-S1", "BM06-PRD-S1", "CB19-PRD-S1", "CB19-PRD-S1", 
"CB19-PRD-S1", "CB19-PRD-S1", "CB19-PRD-S1", "CB19-PRD-S1", "CB19-PRD-S1", 
"CB19-PRD-S1", "CB19-PRD-S1", "CB19-PRD-S1", "CB19-PRD-S1", "CB19-PRD-S1", 
"CC14-PRD-S1", "CC14-PRD-S1", "CC14-PRD-S1", "CC14-PRD-S1", "CC14-PRD-S1", 
"CC14-PRD-S1", "CC14-PRD-S1", "CC14-PRD-S1", "DA03-PRD-C1", "DA03-PRD-C1", 
"DA03-PRD-C1", "DA03-PRD-C1", "DA03-PRD-C1", "DA03-PRD-C1", "DA03-PRD-C1", 
"DA03-PRD-C1", "DA03-PRD-C1", "DA03-PRD-C1", "DA03-PRD-C1", "DA03-PRD-C1", 
"DA24-PRD-S1", "DA24-PRD-S1", "DA24-PRD-S1", "DA24-PRD-S1", "DA24-PRD-S1", 
"DA24-PRD-S1", "DA24-PRD-S1", "DB22-PRD-S1", "DB22-PRD-S1", "DB22-PRD-S1", 
"DB22-PRD-S1", "DB22-PRD-S1", "DB42-PRD-C1", "DB42-PRD-C1", "DB42-PRD-C1", 
"DB42-PRD-C1", "DB42-PRD-C1", "DB42-PRD-C1", "DB42-PRD-C1", "DB42-PRD-C1", 
"DB42-PRD-C1", "DB42-PRD-C1", "DB42-PRD-C1", "DL18-PRD-S1", "DL18-PRD-S1", 
"DL18-PRD-S1", "DL18-PRD-S1", "DL18-PRD-S1", "DL18-PRD-S1", "DL18-PRD-S1", 
"DL18-PRD-S1", "DL18-PRD-S1", "DL18-PRD-S1", "DL18-PRD-S1", "DL18-PRD-S1", 
"DL18-PRD-S1", "DR15-PRD-C1", "DR15-PRD-C1", "DR15-PRD-C1", "DR15-PRD-C1", 
"DR15-PRD-C1", "DR15-PRD-C1", "DR15-PRD-C1", "DR15-PRD-C1", "DT08-PRD-S1", 
"DT08-PRD-S1", "DT08-PRD-S1", "DT08-PRD-S1", "DT08-PRD-S1", "DT08-PRD-S1", 
"DT08-PRD-S1", "DT08-PRD-S1", "FB44-PRD-C1", "FB44-PRD-C1", "FB44-PRD-C1", 
"FB44-PRD-C1", "FB44-PRD-C1", "FB44-PRD-C1", "FB44-PRD-C1"), 
    percent_power = c(21.7391304347826, 34.7826086956522, 47.8260869565217, 
    60.8695652173913, 73.9130434782609, 86.9565217391304, 100, 
    19.2307692307692, 30.7692307692308, 42.3076923076923, 53.8461538461538, 
    65.3846153846154, 76.9230769230769, 88.4615384615385, 100, 
    25, 40, 55, 70, 85, 100, 13.1578947368421, 21.0526315789474, 
    28.9473684210526, 36.8421052631579, 44.7368421052632, 52.6315789473684, 
    60.5263157894737, 68.4210526315789, 76.3157894736842, 84.2105263157895, 
    92.1052631578947, 100, 22.2222222222222, 33.3333333333333, 
    44.4444444444444, 55.5555555555556, 66.6666666666667, 77.7777777777778, 
    88.8888888888889, 100, 15.3846153846154, 23.0769230769231, 
    30.7692307692308, 38.4615384615385, 46.1538461538462, 53.8461538461538, 
    61.5384615384615, 69.2307692307692, 76.9230769230769, 84.6153846153846, 
    92.3076923076923, 100, 21.7391304347826, 34.7826086956522, 
    47.8260869565217, 60.8695652173913, 73.9130434782609, 86.9565217391304, 
    100, 29.4117647058824, 47.0588235294118, 64.7058823529412, 
    82.3529411764706, 100, 14.2857142857143, 22.8571428571429, 
    31.4285714285714, 40, 48.5714285714286, 57.1428571428571, 
    65.7142857142857, 74.2857142857143, 82.8571428571429, 91.4285714285714, 
    100, 12.1951219512195, 19.5121951219512, 26.8292682926829, 
    34.1463414634146, 41.4634146341463, 48.780487804878, 56.0975609756098, 
    63.4146341463415, 70.7317073170732, 78.0487804878049, 85.3658536585366, 
    92.6829268292683, 100, 22.2222222222222, 33.3333333333333, 
    44.4444444444444, 55.5555555555556, 66.6666666666667, 77.7777777777778, 
    88.8888888888889, 100, 41.6666666666667, 50, 58.3333333333333, 
    66.6666666666667, 75, 83.3333333333333, 91.6666666666667, 
    100, 25, 37.5, 50, 62.5, 75, 87.5, 100), relVO2 = c(8.79761904761905, 
    9.75892857142857, 11.3244047619048, 12.8005952380952, 14.2738095238095, 
    16.0208333333333, 17.8303571428571, 7.73391812865497, 8.75438596491228, 
    10, 11.5146198830409, 13.4444444444444, 15.7485380116959, 
    16.9707602339181, 18.6959064327485, 10.0941080196399, 11.7348608837971, 
    14.120294599018, 16.133387888707, 18.494271685761, 20.6546644844517, 
    12.6214285714286, 13.5107142857143, 15.4464285714286, 17.7714285714286, 
    18.6392857142857, 21.05, 23.9857142857143, 25.5821428571429, 
    28, 29.15, 33.4892857142857, 34.9071428571429, 9.63414634146342, 
    10.7479674796748, 12.0894308943089, 14.2886178861789, 15.3414634146341, 
    16.2073170731707, 18.1178861788618, 19.5569105691057, 8.04782608695652, 
    8.95, 9.71086956521739, 10.4108695652174, 10.85, 12.4021739130435, 
    13.4108695652174, 13.8630434782609, 14.754347826087, 15.4434782608696, 
    16.9152173913043, 17.7347826086956, 10.0187265917603, 10.9456928838951, 
    14.3960674157303, 18.3895131086142, 20.5945692883895, 23.5767790262172, 
    24.8408239700375, 10.7859281437126, 12.997754491018, 13.8248502994012, 
    15.1309880239521, 17.5561377245509, 9.56885456885457, 9.85521235521236, 
    12.3648648648649, 14.1248391248391, 15.6981981981982, 17.3133848133848, 
    19.3854568854569, 21.5637065637066, 23.9800514800515, 26.3384813384813, 
    27.5353925353925, 8.01307189542484, 11.1797385620915, 12.8104575163399, 
    14.0653594771242, 16.8235294117647, 19.1045751633987, 20.8267973856209, 
    22.1764705882353, 24.6274509803922, 26.1176470588235, 28.0065359477124, 
    30.2320261437909, 32.3398692810458, 10.1853015075377, 10.0942211055276, 
    10.8605527638191, 13.5175879396985, 14.0577889447236, 15.7663316582915, 
    16.8121859296482, 18.8316582914573, 10.6225425950197, 11.6186107470511, 
    13.5943643512451, 14.8623853211009, 16.6022280471822, 17.8604193971166, 
    18.9449541284404, 20.0360419397117, 9.98070987654321, 10.2546296296296, 
    11.4506172839506, 12.6041666666667, 15.1697530864198, 16.4930555555556, 
    17.8240740740741), group = c("CAD", "CAD", "CAD", "CAD", 
    "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", 
    "CAD", "CAD", "Healthy", "Healthy", "Healthy", "Healthy", 
    "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", 
    "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", 
    "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", 
    "Healthy", "Healthy", "Healthy", "Healthy", "CAD", "CAD", 
    "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", 
    "CAD", "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", 
    "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", 
    "Healthy", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", 
    "CAD", "CAD", "CAD", "CAD", "Healthy", "Healthy", "Healthy", 
    "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", 
    "Healthy", "Healthy", "Healthy", "Healthy", "CAD", "CAD", 
    "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "Healthy", "Healthy", 
    "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", "Healthy", 
    "CAD", "CAD", "CAD", "CAD", "CAD", "CAD", "CAD")), class = c("grouped_df", 
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -112L), groups = structure(list(
    id = c("AC12-PRD-C1", "AL13-PRD-C1", "BM06-PRD-S1", "CB19-PRD-S1", 
    "CC14-PRD-S1", "DA03-PRD-C1", "DA24-PRD-S1", "DB22-PRD-S1", 
    "DB42-PRD-C1", "DL18-PRD-S1", "DR15-PRD-C1", "DT08-PRD-S1", 
    "FB44-PRD-C1"), .rows = structure(list(1:7, 8:15, 16:21, 
        22:33, 34:41, 42:53, 54:60, 61:65, 66:76, 77:89, 90:97, 
        98:105, 106:112), ptype = integer(0), class = c("vctrs_list_of", 
    "vctrs_vctr", "list"))), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -13L), .drop = TRUE))

我想让我的垂直线（geom_vline）与两个图形的颜色相同（50为红色表示CAD，60为蓝色表示healthy）。

谢谢大家！

varia_plot <- df_sum %>% 
  filter(percent_power < 100) %>%
  ggplot(aes(x = percent_power, y = relVO2, color = group)) +
  geom_point(size = 0.5) +
  geom_smooth(method = "lm", formula = y ~ poly(x, 2)) +
  geom_vline(aes(color = group), xintercept = c(50, 60), linetype="solid") +
  xlab("Percentage of PPO (%)") + 
  ylab(expression(paste("V", O[2]," (L/min)"))) +
  scale_x_continuous(limits = c(0, 100), breaks = seq(0, 100, by = 25)) +
  theme_classic() +
  theme(
    panel.background = element_rect(fill ="white", colour = "white"),
    axis.line = element_line(colour = "black"),
    legend.title = element_text(face = "bold"),
    legend.position = "none",
    axis.line.x = element_blank(),
    axis.text.x = element_blank(),
    axis.ticks.x = element_blank(), 
    axis.title.x = element_blank(),
    axis.title.y = element_blank(),
    strip.text = element_blank()
  )
r

2条答案

按热度按时间
xfyts7mz

xfyts7mz1#

因为你没有使用maindata.frame来绘制vline，所以最好在那个层上使用一个自定义的data=参数。

geom_vline(aes(xintercept=val, color = group), linetype="solid", 
      data=data.frame(group=c("CAD", "Healthy"), val=c(50, 60))) +

这将使事情与全局color=比例一致（只要值完全匹配）

赞(0）分享  回复(0）举报  2023-01-22
v440hwme

v440hwme2#

如果你这样做：将颜色值加到geom_vline：
geom_vline(color = c("red", "blue"), xintercept = c(50, 60), linetype="solid")

df %>% 
  filter(percent_power < 100) %>%
  ggplot(aes(x = percent_power, y = relVO2, color = group)) +
  geom_point(size = 0.5) +
  geom_smooth(method = "lm", formula = y ~ poly(x, 2)) + 
  geom_vline(color = c("red", "blue"), xintercept = c(50, 60), linetype="solid") +
  scale_color_manual(values = c("red", "blue"))
  xlab("Percentage of PPO (%)") + 
  ylab(expression(paste("V", O[2]," (L/min)"))) +
  scale_x_continuous(limits = c(0, 100), breaks = seq(0, 100, by = 25)) +
  theme_classic() +
  theme(
    panel.background = element_rect(fill ="white", colour = "white"),
    axis.line = element_line(colour = "black"),
    legend.title = element_text(face = "bold"),
    legend.position = "none",
    axis.line.x = element_blank(),
    axis.text.x = element_blank(),
    axis.ticks.x = element_blank(), 
    axis.title.x = element_blank(),
    axis.title.y = element_blank(),
    strip.text = element_blank()
  )

赞(0）分享  回复(0）举报  2023-01-22
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