如何為資料中的一個類別繪制第二個y軸？[復制]-有解無憂

這個問題在這里已經有了答案：如何為資料中的一個類別繪制第二個 y 軸？[復制]

您可以通過洗掉一些值來改進第二個軸。

示例代碼：

ggplot(data=df.melt, aes(x=xVal, y=value, colour=variable))  
  geom_point(size=2)   
  geom_line(lwd=1)   
  xlab("xVal")   
  ylab("YValues")   
  xlim(1,16)  
  theme_cleveland() 
  scale_y_continuous(sec.axis = sec_axis(~., name = "secondary",
                                         labels = c(8.7351324973658093, 12.113308515702567, 
                                                    11.422800742900453, 10.774426268894192,   
                                                    10.201545270338952,  9.8062403381144761, 
                                                    9.4110034623398231, 9.1211408116407641),
                                         breaks=c(8.7351324973658093, 12.113308515702567, 
                                                  11.422800742900453, 10.774426268894192,   
                                                  10.201545270338952,  9.8062403381144761, 
                                                  9.4110034623398231, 9.1211408116407641) )) 
  theme(
    axis.text.y.left = element_text(color = "blue"),
    axis.text.y.right = element_text(color = "red", size=8),
  )

陰謀：

如何為資料中的一個類別繪制第二個 y 軸？[復制]

樣本資料：

xVal = c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15)
a = c(0.18340368127959822, 0.17496531617798133, 0.16772886654445848, 0.15934821062512169, 
      0.15390913489444036, 0.14578798884106348, 0.14524174121702108, 0.13958093302847951, 
      0.1365009715515553, 0.13337340345559975, 0.12995175856952607, 0.12583603207983862, 
      0.12180656145228715, 0.11824179486798418, 0.11524630600365712)
b = c(0.13544353787855531, 0.11345498050033079, 0.11449834060237293, 0.10479213576778054, 
      0.09677430524414686, 0.091990671548439179, 0.089965934807318487, 0.088711600335474206, 
      0.088923403079789909, 0.087989321310275717, 0.085424600757017272, 0.08251334730889931, 
      0.080178280060313953, 0.077717041621392688, 0.076638743116633837)
c = c(0.087351324973658093, 0.12113308515702567, 0.11422800742900453, 0.11264309199970789, 
      0.11390287790920843, 0.10774426268894192, 0.10587704437111881, 0.10474954948318291, 
      0.10568277685778472, 0.10201545270338952, 0.09939827283775747, 0.098062403381144761, 
      0.094110034623398231, 0.091211408116407641, 0.089369778116029489)
c=c*100

uj5u.com熱心網友回復：

考慮輔助軸的方法是它只是一個注釋。您正在繪制的實際資料需要進行轉換，以便與其他資料具有相同的比例。

在您的情況下，這意味著您需要將所有 c 值除以 100 來繪制它們，并繪制一個經過轉換以顯示大 100 倍的數字的輔助軸：

ggplot(within(df.melt, value[variable == 'c'] <- value[variable == 'c']/100),
  aes(xVal, value, colour = variable))  
  geom_point()   
  geom_line()  
  scale_y_continuous(sec.axis = sec_axis(~.x*100, name = "Values (c)"))   
  theme(axis.text.y.right = element_text(color = "red"), 
        axis.ticks.y.right = element_line(color = "red"), 
        axis.title.y.right = element_text(color = "red"))

如何為資料中的一個類別繪制第二個 y 軸？[復制]

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標籤：r ggplot2

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