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 am attempting to plot lots of graphs on the fly and I chanced upon the facet_wrap functionality. It produced the desired results until I realised that it was not assigning individual axes headings. There was just a single X and Y axis heading for a whole set of graphs. What I'm looking for is a way to assign individual axes headings for each graph.
Is this possible using the facet_wrap functionality at all?
Looking forward to any suggestions and advice.
EDIT:
(removed previous, incorrect, answer)
It is my understanding that if the axes of your plots are not the same (i.e. require different labels), the way to go would be with multiple separate plots (on the same page), and not with facet_wrap.
I'm trying to add a legend for my regression plot with several coloured lines.
What I've done is
plot(Leaves ~ Elevation)
plot(Elevation, Leaves, xlab="Elevation",ylab="Presence")
g=glm(Leaves~Elevation,family=binomial,data=Leaf)
curve(predict(g,data.frame(Elevation=x),type="resp"),add=TRUE, col="blue")
I do this for every line and end up with up with a plot with several coloured lines and i know have to add a legend for the lines.
But i don´t know how to add some colour explanations figures to the legend, and all I've seen so far I have to start over again with doing the lines as well. Is there not an easy way to add colour explanation legends to already existing lines.
I have the following data:
x=c(2.880262,3.405859,3.613575,3.744480,3.682059,3.694075,3.758320,4.034290,4.202741,4.309383,4.996279,5.981309,5.103148,4.926363,4.696024,5.522913,5.330382,4.434304,5.154567,6.247156,8.612752,9.996526,9.606994,10.303496,5.954970,5.688171,6.340349,6.252854,6.355642,5.988570,7.317148,11.664384,14.231579,16.489029,23.100640,20.280043,21.562793,24.311327,23.735198,23.796386,23.118181,23.269722,19.886981,20.000975,19.967642,24.278910,17.447721,14.536114,20.646378,19.096832,20.258060,19.803196)
y=1:52
w=c(-2784,-2897,-2897,-2066,-2466,-2466,-2466,-2466,-2102,-2102,-2102,-2202,-2094,-2094,-2094,-2094,-1691,-1691,-1691,-1691,-1691,-1674,-1774,-1774,-2019,-2019,-2019,-2019,-2019,-1988,-1988,-1988,-1988,-1988,-1888,-1888,-1888,-1888,-1888,-1888,-1888,-1488,-2051,-2051,-2051,-2051,-2315,-2315,-2315)
v=1:49
When I try to plot these, my grid does not match the tick marks. Is there a way to fix this in base?
plot(y,x,type='l',col='blue',log='y')
grid(NA,NULL)
Resulting plot:
And the other plot:
plot(v,w,type='l',yaxt='n')
grid(NA,NULL)
axis(2,pretty(w),format(pretty(w)/1000,big.mark=','))
Result:
I put both up because I am using different techniques to label the y axis, and one is a log chart while the other is not. By the way, I have hundreds of other data sets that are placing the grid lines by the tick marks. It is just these two that are not matching grids to ticks.
For the first plot, just use equilogs=F.
For the second plot, since you are using non-default axis ticks, I think you'll have to resort to abline like it says in ?grid. Good luck!
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).