更新 01.geom_line.R

Signed-off-by: 生信分析 <bioinfo@noreply.baihub.cn>

01.geom_line.R

@@ -1,6 +1,33 @@
 ### 模板说明：
 ### ggplot2画多变量折线图，共用x轴
 
+###快速使用(最终推荐)
+library(ggplot2)
+
+dat <- reshape::melt(data.frame(
+  water_press = c(2, 4, 6),
+  抽气容积 = c(1.5, 4, 6),
+  充气容积 = c(1, 3, 5)
+), "water_press")
+
+pdf("Dr.Liang.pdf", width = 7, height = 5, family = "GB1")
+ggplot(dat, aes(x = water_press, y = value, col = variable)) +
+  theme_classic() +
+  geom_point() +
+  geom_line() +
+  labs(
+    x = "水检压计",
+    y = "容积变化",
+    title = "Dr.Liang 的病生实验",
+    color = "变量"
+  ) +
+  scale_color_manual(
+    #自定义每个变量的颜色
+    values = c("#000080", "#df6100")
+  )
+dev.off()
+###快速使用
+
 
 # 一、最原始办法——手动画每条变量折线
 library(ggplot2)
@@ -31,4 +58,29 @@ dev.off()
 
 
 # 二、将dataFrame变为长数据形式后再绘制
+library(ggplot2)
 
+dat <- reshape::melt(data.frame(
+  water_press = c(2, 4, 6),
+  out_volumn = c(1.5, 4, 6),
+  in_volumn = c(1, 3, 5)
+), "water_press")
+
+pdf("Dr.Liang.pdf", width = 7, height = 5, family = "GB1")
+ggplot(dat, aes(x = water_press, y = value, col = variable)) +
+  theme_classic() +
+  geom_point() +
+  geom_line() +
+  labs(
+    x = "水检压计",
+    y = "容积变化",
+    title = "Dr.Liang 的病生实验",
+    color = "变量"
+  ) +
+  scale_color_manual(
+    #自定义每个变量的颜色
+    values = c("out_volumn" = "#000080", "in_volumn" = "#df6100"),
+    # 自定义图例标签, 或者在dataframe里就提前定义好
+    labels = c("out_volumn" = "抽气容积", "in_volumn" = "充气容积")
+  )
+dev.off()