I am trying to create a plot in R using ggplot2. The figure looks great when displayed in R, but when I write it to pdf the labels in the legend slightly overlap the different color lines they are defining. How do I add white space between entries so that this does not happen?
Without code example it is hard to say, but if you don't see this problem in the R display and you see it in the pdf, you can try to increase the pdf output size. When rendering a pdf, the font size is kept and the elements of the graph are more squeezed if the output size is smaller than the displayed one.
p<-ggplot(mpg,aes(cyl,year))+geom_point()
ggsave('yourfile.pdf',p,width=10,height=10) # default is 7 on my install
I don't know if it is possible to change the spacing, but I don't see any parameters for that in the theme() or element_text() documentation
Related
I am using Julia notebook and making plots using basic Plots package.
A plot looks good, except its entire size.
I can change the plot size and font size of labels individually. But it becomes less readable unless I change the font size and line width for every component.
So is there a way to change the size of a plot as a whole? I also hope I can change it by default.
To answer your original question in the title, you can change the size of the Plot Window by specifying the size attribute as you already are in your code. See here: http://docs.juliaplots.org/latest/basics/ for more details.
As pointed out by Rashid, you can use the scalefontsize function to scale the font size. You can also scale the thickness by setting the thickness_scaling attribute, see here for more details: http://docs.juliaplots.org/latest/generated/attributes_plot/
To be clear, there is not currently a unified way to scale a plot in the way you are looking for it right now, it has to be done manually (though it would be great to have this unified scaling). I opened a feature request for this here: https://github.com/JuliaPlots/Plots.jl/issues/3153
When I add a legend to my R plot (using the legend() function), then it works in Rstudio, but when I export the plot as a PDF with a different size, then sometimes the text inside the legend is larger than the legend box itself.
What is going on here and how do I fix it?
If I export the image with a larger width, then the legend box becomes larger too and manages to contain its text, but this is silly: I want the legend box and its text to automatically adjust to whatever width I choose, no matter how small it is.
And please don't recommend ggplot2.
As #Gregor said - you should use pdf(). I am merely adding his suggestion as an answer. Your code would be something like this:
pdf("picture.pdf", width=6, height=6)
plot(...)
legend(...)
dev.off()
Where pdf() opens a new device for plotting (of course you have to set file name as well as dimensions according to your needs), and dev.off() closes the device writing everything to a file.
I am not sure what causes the issue with legend in R-studio. But on my machine I noticed that legends sometimes have issues with updating after resizing the device. Probably this is something related.
I currently am one of the few R users in my company, which consists predominantly of stata users. One problem I've had with making plots using ggplot2 is that the default (theme_grey()) settings have much smaller axis font and a smaller legend than what is found in stata. Moreover, in presentations I find people have trouble reading the legend and titles from a distance.
I'm aware that ggplot2 has a theming system that allows for relative sizing. What I'd ideally like to do is to create a new default theme that I'd apply to all my plots that would make legends and axis titles larger. Importantly, however, very often the graphs I make have varying dimensions when output to pdf (e.g. 8 inch x 10 inch) or ( 10 inch x 13 inch). Since I'd like to apply this theme globally, I need it to produce good/easy to read output irrespective of the dimensions I specify when outputting to pdf.
I'd really appreciate any suggestions for how to do this/how to approach the problem using ggplot2's theming system.
Thanks!
The theme system can easily scale all the (themed) text, but not in a device sized aware way. The various theme sets, including theme_bw(), have an argument base_size which is the baseline size, in points, of fonts to use for the text. Some text is rendered at that size, and some is rendered at sizes relative to that (for example, axis labels and legend labels are rendered at 80% of the baseline size). So by specifying the base_size argument, you can scale all that text.
However, the base_size is in absolute points, not in a size which is relative to the device size. So the larger the device size, the smaller the text is relative to that.
I have just started playing with the quantmod package. The documentation is however, quite sparse (perhaps understandably, since it is OSS).
I am currently using barChart() which is a nice wrapper around chartSeries() and does most of what I want, but the default chart it produces are not quite what I want. To be specific, I want to tweak the charts produced by barChart() to suit my needs - however, since I am a newbie, I don't know whether my "tweaks" can be provided as options to the wrapper barChart(), or if I need to call chartSeries() directly, with specific arguments.
I have been tearing my hair out trying to do the following:
replace the horrible {start date}/{end date} text in the top right hand of the chart produced by barChart() with text of my own choosing
specify the formating to be used on the X axis (for example, show only the last two digits of the century. i.e. '98, '99, '00, '01 etc)
'Force' both top chart and the bottom chart to have their Y values printed on the left hand side of the chart
Add an aditional series to the bottom chart
Use different up/down colors for the bottom chart (defaults the using the same up/down colors for both top and bottom charts)
Plot just the top chart (no bottom chart)
Specify X axis, Y axis grid line spacings for top chart, for bottom chart
Write the image to an alternative output (e.g. png image or pdf document) instead of the graphics device
Can anyone help with any (or all) of the above?.
This functionality isn't available (patches welcome).
This functionality isn't available (patches welcome).
This functionality isn't available (patches welcome).
See the sparse documentation for ?addTA, specifically the on argument.
Plot the bottom chart as two separate up/down series, using two different colors, or perhaps chartTheme.
Not sure what you mean; just don't plot the bottom chart...
See the sparse documentation for the major.ticks argument to chartSeries. I don't think you can change the y axis grid line spacings, and the x axis spacing will be the same for the top and bottom chart.
See ?png and ?pdf.
To change or remove the bottom chart,
check the TA argument of chartSeries function
(there is an example in the manual);
to change the colours,
check the theme argument
(there is an example in the manual);
to write to a png or pdf file,
use the png or pdf functions,
as with other plotting functions.
To fine-tune the axes and labels, it is probably easier to bypass
chartSeries altogether and plot the data yourself, with base graphics,
lattice or ggplot2.
I am plotting some graphs for a poster and a slideshow. I need bigger points and bigger text. I read about ggplot2's theme_set and theme_update. From what I can tell there are only two preset themes and they differ by the color arrangement of the background. However, I want to make all the text bigger and the plotted points bigger.
I learned how to change the font size.
theme_update(axis.text.x=theme_text(size=30))
But that only changes the axis text. I would have to do the same thing for a bunch of other parameters (axis.text.y, axis.title.x etc). Call me "lazy" but I want a single commands that can increase the base size for all text (and preferably the plotted points too). Is there one or two commands that covers all parameters? Alternatively are there any other set themes?
If you are fine with the colors of either of the two default themes, both take an argument of a base size for text. This is carried over to all the text around the plot (with scaling). You can just add theme_gray(30) to your plots. One caveat to that. If you afterward set other parameters of text with them_text, you have to respecify the size.
Alternatively, you can take the code for theme_gray (or theme_bw, whichever is closer) and make any thematic changes directly there. For examples of how to do that, check the ggplot2 wiki: https://github.com/hadley/ggplot2/wiki/Themes
EDIT:
As an example:
library("ggplot2")
qplot(1:2,1:2) + theme_bw(30)