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the following example creates a ggplot with the 4 panels "A", "B", "C", "D" in one row.
I figured out how to plot these 4 panels in one column. However, what still remains a mystery is how to arrange the 4 panels so that "A" and "B" are in the first row and "C" and "D" are put in a separate (second) row?
Here's my code:
df <- data.frame(
x = rep(rep(1:10, each=10), 2),
y = rep(rep(1:10, 20), 2),
grid = rep(LETTERS[1:4], each=100)
)
ggplot(df, aes(x = x, y = y)) +
geom_point() +
facet_grid(. ~ grid, scales = "free")
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To reorder the facets accordingly of the given ggplot2 plot, the user needs to reorder the levels of our grouping variable accordingly with the help of the levels function and required parameter passed into it, further it will lead to the reordering of the facets accordingly in the R programming language.
facet_grid() forms a matrix of panels defined by row and column faceting variables. It is most useful when you have two discrete variables, and all combinations of the variables exist in the data. If you have only one variable with many levels, try facet_wrap() .
The facet_grid() function will produce a grid of plots for each combination of variables that you specify, even if some plots are empty. The facet_wrap() function will only produce plots for the combinations of variables that have values, which means it won't produce any empty plots.
facet_wrap() makes a long ribbon of panels (generated by any number of variables) and wraps it into 2d. This is useful if you have a single variable with many levels and want to arrange the plots in a more space efficient manner. You can control how the ribbon is wrapped into a grid with ncol , nrow , as.
Use facet_wrap instead of facet_grid:
library(ggplot2)
ggplot(df, aes(x = x, y = y)) +
geom_point(aes(colour=grid)) +
facet_wrap(~ grid, scales = "free")
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