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I need to make several histograms regarding the same vector of values and a density estimation. So the next plot is good.
values = rnorm(100)
plot = ggplot(data.frame(val=values), aes(x=val)) + geom_histogram(aes(y = ..density..)) + geom_density()
However, I need to print several plots (not one plot with different panels) with different break points, say:
breaks = list(c(-1,0,1),c(-2,-1.5,0,1.5,2),c(-0.5,0,0.5))
How can I redefine the breaks for the variable plot?
509
How to Set Axis Breaks in ggplot2 (With Examples) You can use the following syntax to set the axis breaks for the y-axis and x-axis in ggplot2: #set breaks on y-axis scale_y_continuous (limits = c (0, 100), breaks = c (0, 50, 100)) #set breaks on y-axis scale_x_continuous (limits = c (0, 10), breaks = c (0, 2, 4, 6, 8, 10))
By default, ggplot2 will automatically pick a certain number of bins to use in the histogram. However, we can use the following syntax to specify that we want the histogram to use 10 bins: Notice that the histogram now has exactly 10 bins. Or we could use the following syntax to specify that we want the histogram to use 5 bins:
Histogram breaks in R. breaks argument. Plug in selection. The hist function uses the Sturges method by default to determine the number of breaks on the histogram. This selection is very important because too many bins will increase the variability and few bins will group the data too much.
You have two options to create your histograms with the ggplot2 package. On the one hand, you can use the qplot () function, which looks very much like the hist () function:
Using your own code, you can do that with:
ggplot(data.frame(val=values), aes(x=val)) +
geom_histogram(aes(y = ..density..)) +
geom_density() +
scale_y_continuous(breaks=c(-2,-1.5,0,1.5,2))
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