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.
Related
I am working on a diametric class distribution data, with over 10,000 individuals, and I wanted to make a histogram to show the results, but I am having a problem when I try to plot it.
When I tried using the histogram function
histogram(data)
I get a histogram that is calculating the percentage of individuals
Histogram using the histogram function
Then I tried using qplot function
qplot(data, geom = "histogram")
And got a histogram like the one you can see in image 2
qplot function
So I thought maybe is a problem with the y-axis scale so I tried using ylim() and the plot I got was only the axis with no data
Could someone please tell me what I'm doing wrong?
I'm trying to get a histogram like the one in image 3Histogram goal
I really appreciate your help to point out if I am not adding other codes or maybe redirect me to a cheat sheet that can clarify some things
thanks
Try to use the ggplot2 package, for example:
library(ggplot2)
ggplot(data = [YOUR_DATA], aes([YOUR_VARIABLE])) +
geom_histogram()
EDIT:
Looking at your desired result, I think you want to use barplot() instead of histogram().
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)
How do I change the size of a plot made with ggplot2?
My actual issue is: I'm using ggplot2 R to plot data in Ipython, and I have a horizontal barplot with a lot of bar to be displayed, so I want to increase the height of the graph so I can see it better.
Thanks a lot!
Maybe you should check option coord_cartesian(xlim=c(x,y), ylim=(x,y)) to rescale your graph, but if the output in Ipython is not in the demand size I think thisi rather Ipython figure height/width options-like question
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'm trying to use the stat_binhex() in ggplot2 to drop hex tiles on a plot, and the automatic settings vary the color of the bins, depending on count. That is, all the hexes are the same size, but have different colors.
I want to vary the size of the hex symbol itself! so that some are bigger than others... and i also want to vary color based on a third variable. I read through the documentation of ggplot2 and couldn't find any way to do this. The *hexbin* package has an option like this (lattice) but its plot() functions are maddening, so I was hoping to stay in ggplot2. Any other suggestions would be extremely helpful, as well.
If you know Kirk Goldsberry's NBA shot charts on Grantland, that's very similar to what I'd like to accomplish with my dataset.