When we create a plot in R, the Y-axis labels are automatically generated and if we want to remove those labels, the plot function can help us. For this purpose, we need to set ylab argument of plot function to blank as ylab="" and yaxt="n" to remove the axis title.
The general cause for the legend to not appear is, that you are ignoring the syntax of ggplot(). You have to adjust your data frame to work with ggplot.
Using ggplot2 with a matrixggplot only works with data frames, so we need to convert this matrix into data frame form, with one measurement in each row. We can convert to this “long” form with the melt function in the library reshape2 .
You may notice that we sometimes reference 'ggplot2' and sometimes 'ggplot'. To clarify, 'ggplot2' is the name of the most recent version of the package. However, any time we call the function itself, it's just called 'ggplot'.
As per my comment in Chase's answer, you can remove a lot of this stuff using element_blank
:
dat <- data.frame(x=runif(10),y=runif(10))
p <- ggplot(dat, aes(x=x, y=y)) +
geom_point() +
scale_x_continuous(expand=c(0,0)) +
scale_y_continuous(expand=c(0,0))
p + theme(axis.line=element_blank(),axis.text.x=element_blank(),
axis.text.y=element_blank(),axis.ticks=element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),legend.position="none",
panel.background=element_blank(),panel.border=element_blank(),panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),plot.background=element_blank())
It looks like there's still a small margin around the edge of the resulting .png when I save this. Perhaps someone else knows how to remove even that component.
(Historical note: Since ggplot2 version 0.9.2, opts
has been deprecated. Instead use theme()
and replace theme_blank()
with element_blank()
.)
Re: changing opts to theme etc (for lazy folks):
theme(axis.line=element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks=element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),
legend.position="none",
panel.background=element_blank(),
panel.border=element_blank(),
panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),
plot.background=element_blank())
Current answers are either incomplete or inefficient. Here is (perhaps) the shortest way to achieve the outcome (using theme_void()
:
data(diamonds) # Data example
ggplot(data = diamonds, mapping = aes(x = clarity)) + geom_bar(aes(fill = cut)) +
theme_void() + theme(legend.position="none")
The outcome is:
If you are interested in just eliminating the labels, labs(x="", y="")
does the trick:
ggplot(data = diamonds, mapping = aes(x = clarity)) + geom_bar(aes(fill = cut)) +
labs(x="", y="")
'opts' is deprecated.
in ggplot2 >= 0.9.2
use
p + theme(legend.position = "none")
xy <- data.frame(x=1:10, y=10:1)
plot <- ggplot(data = xy)+geom_point(aes(x = x, y = y))
plot
panel = grid.get("panel-3-3")
grid.newpage()
pushViewport(viewport(w=1, h=1, name="layout"))
pushViewport(viewport(w=1, h=1, name="panel-3-3"))
upViewport(1)
upViewport(1)
grid.draw(panel)
Late to the party, but might be of interest...
I find a combination of labs
and guides
specification useful in many cases:
You want nothing but a grid and a background:
ggplot(diamonds, mapping = aes(x = clarity)) +
geom_bar(aes(fill = cut)) +
labs(x = NULL, y = NULL) +
guides(x = "none", y = "none")
You want to only suppress the tick-mark label of one or both axes:
ggplot(diamonds, mapping = aes(x = clarity)) +
geom_bar(aes(fill = cut)) +
guides(x = "none", y = "none")
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