I have a bar graph which looks like the following:
Problem: If I facet it by the same variable as the color, the x-axis has space for plotting all the bars even though I don't need them.
My Solution: I used multiplot function from the Rmisc to separately make bar graphs for each partner but then a lot of individual customization is needed to make the graphs go cohesively together.
Question: Is there another way that I can use to get closer to plot 2 without the extra spaces for the variables that don't apply.
I'm using ggplot to plot.
use:
+ facet_wrap(~variable_to_facet_by,
scales = 'free')
as part of your ggplot code and that should get you what you want.
I have the following plot where part of the data is being obscured by the legend:
using Plots; gr()
using StatPlots
groupedbar(rand(1:100,(10,10)),bar_position=:stack, label="item".*map(string,collect(1:10)))
I can see that using the "legend" attribute, the legend can be moved to various locations within the plotting area, for example:
groupedbar(rand(1:100,(10,10)),bar_position=:stack, label="item".*map(string,collect(1:10)),legend=:bottomright)
Is there any way of moving the plot legend completely outside the plotting area, for example to the right of the plot or below it? For these kinds of stacked bar plots there's really no good place for the legend inside the plot area. The only solution I've been able to come up with so far is to make some "fake" empty rows in the input data matrix to make space with some zeros, but that seems kind of hacky and will require some fiddling to get the right number of extra rows each time the plot is made:
groupedbar(vcat(rand(1:100,(10,10)),zeros(3,10)),bar_position=:stack, label="item".*map(string,collect(1:10)),legend=:bottomright)
I can see that at there was some kind of a solution proposed for pyplot, does anyone know of a similar solution for the GR backend? Another solution I could imagine - is there a way to save the legend itself to a different file so I can then put them back together in Inkscape?
This is now easily enabled with Plots.jl:
Example:
plot(rand(10), legend = :outertopleft)
Using layouts I can create a workaround making a fake plot with legend only.
using Plots
gr()
l = #layout [a{0.001h}; b c{0.13w}]
values = rand(1:100,(10,10))
p1 = groupedbar(values,bar_position=:stack, legend=:none)
p2 = groupedbar(values,bar_position=:stack, label="item".*map(string,collect(1:10)), grid=false, xlims=(20,3), showaxis=false)
p0=plot(title="Title",grid=false, showaxis=false)
plot(p0,p1,p2,layout=l)
I'm working on a really complicated heatmap figure in R. heatmap.2 from the gplots package is not enough for me, because I want multiple sidebar annotations, such as the heatmap.3 function permits: https://www.biostars.org/p/18211/
Here's my specific plot so far:
When I have multiple sidebar annotations on this heatmap, though, they need to be properly labeled with a legend. The legend quickly becomes unwieldy and starts bleeding off the plot or into other labels on the plot, depending on where I choose to place the legend.
I've tried using the ncols option when placing the legend at the bottom of the plot but the legend contains information about several factors worth of metadata, and I want a separate column in the legend to denote each sidebar's worth of metadata. As far as I know there is no option in the legend command to permit this functionality, so I'm interested in hearing potential ways around this.
Alternatively, I am also open to the idea of simply generating a legend image with R separately if anyone knows how to do this.
Thanks!
I looked for the easthetics to make the histogram look better in my R code, nonetheless I was wondering if I could change the size of the bins or maybe the margin or put a color background in the plot WITHOUT using ggplot.
Thank you.
I want to plot stacked histograms in R; i.e. stack individual histograms in the third dimension.
thank you all for your suggestions, especially the one by Shane.
#hadley, I agree with your points, however, my situation is different: the main point I'm trying to convey by plotting four stacked histograms is that the tails vary significantly....the part that will get obscured is of no consequence in the data I'm presenting....also, being able to read the frequency axis is also not important since I'll be plotting the relative frequencies...
One doesn't. This is a terrible display of data because the front histograms obscure the rear histograms and the perspective makes it just about impossible to read the values off the y-axis.
You could try using either rgl (see here) or 3dscatterplot (as in this example). Lattice also supports this:
library(lattice)
library(latticeExtra)
?panel.3dbars
You can see an example of this on the Learnr blog.
I don't believe that's technically a stacked histogram (a stacked histogram stacks the bars on top of each other). Moreover, a different kind of histogram could be more informative: look at the ggplot2 the documentation here for some examples.
hist_cut <- ggplot(diamonds, aes(x=price, fill=cut))
hist_cut + geom_bar() # defaults to stacking
Another option is to use latticing instead, with facet_wrap in ggplot2 (see this post as an example).