CODEWITHSUNDEEP
rggplot2limitaxisbreak
Baycat
Baycat

Reputation: 103

R ggplot2 scale_y_continuous : Combining breaks & limits

Problem: I cannot find any way to combine the breaks and limits commands in ggplot2. The y-axis should always contain the range of 0-40 and breaks=c(5,10,15,20,25,30,35). The x-axis should be 0-100, breaks=c(10,20,30,40,50,60,70,80,90,100). I do NOT want to display data that is outside this range.

I tried + ylim, but this overwrites my breaks. I tried + expand, but this also shows data outside the range that I want(1-100). I tried both adding the breaks and limiting the range in a second step, but the y-axis of my first step is simply overwritten if I do that.

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

Any idea how to fix it?

Upvotes: 10

Views: 69168

Answers (1)

yoland
yoland

Reputation: 554

As JasonAizkalns commented your problem can't be solved without n reproducible example. The code below does what you want on the iris data and should work for your example as well.

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))

Upvotes: 17

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