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Does anyone have any insight into the placement of the axis titles in ggplot?
ggplot(mtcars, aes(x=mpg, y=hp)) + geom_point() + ylab("HP") + ylim(50,350) + xlim(10,35)
You can see the P in HP is below the top of the 200. And likewise the m on mpg is almost in line (or partly overlapping) with the 0 on 20 leaving the g in the middle of 20 and 25. I would have thought the middle of the gap between the H and P would have been in the middle (vertically) of the 2 in 200. If that makes sense.
Adding a few spaces to the label (" HP") helps to fix it. Obviously the title is being centered relative to some co-ordinates, my guess is a 'box' that goes all the way to the bottom of the x labels (for the y title) and to the left of the y labels (for the x title). When having them relative to the actual plotting area would be more desirable.
Is this achievable?
542
By default, the title of plots in ggplot2 are left-aligned. However, you can use the following methods to change the title position: some_ggplot + theme (plot.title = element_text (hjust = 0.5)) The following examples show how to use each method in practice with the built-in mtcars dataset in R.
In this article, we are going to see how to move the axis labels using ggplot2 bar plot in the R programming language. First, you need to install the ggplot2 package if it is not previously installed in R Studio. For creating a simple bar plot we will use the function geom_bar ( ). stat : Set the stat parameter to identify the mode.
We can draw our plot title in a vertically higher position with the following R syntax: my_ggplot + theme ( plot.title = element_text ( vjust = 3)) # Change vertical position. my_ggplot + theme (plot.title = element_text (vjust = 3)) # Change vertical position.
There are several other position scales for continuous variables— scale_x_log10 (), scale_x_reverse (), etc—most of which are convenience functions used to provide easy access to common transformations: For more information on scale transformations see Section 10.1.9 . By default, ggplot2 converts data outside the scale limits to NA.
Per @Hadley's comment, as of version 0.9.0 this bug-let has been fixed:
ggplot(mtcars, aes(x=mpg, y=hp)) +
geom_point() +
ylab("HP") +
ylim(50,350) +
xlim(10,35)
produces:
100
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