R ggplot2 scale_y_continuous:结合休息和限制

Bay*_*cat 4 axis r limit break ggplot2

问题:我找不到任何方法在ggplot2. y 轴应始终包含 0-40 和 的范围breaks=c(5,10,15,20,25,30,35)。x轴应该是0-100, breaks=c(10,20,30,40,50,60,70,80,90,100)。我不想显示超出此范围的数据。

我试过+ ylim,但这会覆盖我的休息时间。我试过了+ expand,但这也显示了我想要的范围之外的数据(1-100)。我尝试在第二步中添加中断和限制范围,但如果我这样做,我第一步的 y 轴会被简单地覆盖。

plot_Tili_Age_VS_Height <- ggplot(Tili, aes(x = Age, y = Height)) + geom_point() + 
  geom_smooth(method = "lm", se = FALSE, color = "black", formula = y ~ x) + 
  scale_y_continuous(trans = "log10", breaks = c(5, 10, 15, 20, 25, 30, 35)) + 
  expand_limits(y = c(0, 35), x = c(0, 100)) + 
  scale_x_continuous(trans = "log10", breaks = c(10, 20, 30, 40, 50, 60,70, 80, 90, 100)) +
  theme_bw(base_size = 15) + 
  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())

df <- data.frame(x = log(Tili$Age), y = log(Tili$Height))
lm_eqn = function(df) {
  m = lm(y ~ x, df)
  eq <- substitute(ln(italic(y)) == a + b %*% ln(italic(x)) * "," ~ ~italic(r)^2 ~ 
                     "=" ~ r2, list(a = format(coef(m)[1], digits = 2), 
                                    b = format(coef(m)[2], digits = 2), 
                                    r2 = format(summary(m)$r.squared, digits = 2)))
  as.character(as.expression(eq))
}

plot_Tili_Age_VS_Height <- plot_Tili_Age_VS_Height + 
  annotate("text", x = 30, y = 5, label = lm_eqn(df), hjust = 0, 
           size = 3, family = "Times", parse = TRUE)
plot_Tili_Age_VS_Height 
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知道如何修复它吗?

yol*_*and 7

正如 JasonAizkalns 评论的那样,如果没有可重复的示例,您的问题就无法解决。下面的代码对虹膜数据执行您想要的操作,并且也适用于您的示例。

library(ggplot2)

df <- iris


## all data, default breaks
ggplot(df, aes(Sepal.Length, Sepal.Width)) +
  geom_point()

## subset of data is seen in plot, breaks changed
ggplot(df, aes(Sepal.Length, Sepal.Width)) +
  geom_point() + 
  scale_x_continuous(breaks = c(5.5,6.5), limits = c(5,7)) +
  scale_y_continuous(breaks = c(3.5,2.5), limits = c(2,4))
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  • 在编辑 y 轴以显示 log 10 比例时,这将如何工作?我正在指定 trans、breaks 和 labels,但也想稍微增加它自己绘制的 y 轴范围。我希望我的 y 轴范围从 0.5 到 3.5(在 log10 中)。如何将限制合并到这块代码中?`scale_y_continuous(trans = log10_trans(),breaks = trans_breaks('log10',function(x) 10^x),labels = trans_format('log10',math_format(.x)))` (2认同)