I've been reading the ggplot2
documentation for both functions. I was wondering what were the differences and what would be right situation for using each function (facet_wrap()
and facet_grid()
).
library(ggplot2) p <- qplot(displ, hwy, data = mpg) p + facet_wrap(~ cyl) p + facet_grid(~ cyl)
I provide this small example to serve as starting point. The difference seems to be wrap makes the plots more autonomous and grid makes one plot all together.
While facet_grid shows the labels at the margins of the facet plot, facet_wrap creates a label for each plot panel.
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.
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.
The answer below refers to the case when you have 2 arguments in facet_grid()
or facet_wrap()
.
facet_grid(x ~ y)
will display x*y
plots even if some plots are empty. Ex:
library(ggplot2) g <- ggplot(mpg, aes(displ, hwy))
There are 4 distinct cyl and 7 distinct class values.
g + geom_point(alpha=1/3) + facet_grid(cyl~class)
The above displays 4 * 7 = 28 plots, even if some are empty (because some classes do not have corresponding cylinder values, like rows with class="midsize" doesn't have any corresponding cyl="5" value ) facet_wrap(x ~ y)
on the other hand, displays only the plots having actual values.
g + geom_point(alpha=1/3) + facet_wrap(cyl~class)
There are 19 plots displayed now, one for every combination of cyl and class.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With