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On Tuesday, July 7th I organized a breakout session Tackling Climate Change at a virtual useR!2020 Munich. When I submitted the proposal I hoped the session will be a mix of an invited talk, climate-related contributions submitted to the useR! And an open discussion between R users and researchers. Chmod a+r is the relative form of the command. It means 'grant read permission to all users on this file in addition to whatever other permissions are set'. Similarly, chmod g-w would mean 'remove write permission to all users in the same group on this file in addition to whatever other permissions are set'.

I’ve decided to write a post about a solution to a problem I’ve been dealing with, pretty much since I started using R to make nice graphics 5+ years ago. Many times while exploring datasets, I’d want to make many similar plots (such as xy scatterplots) but with different variables for the x and y axes. This was all fine and well, but when It came time to annotate the graph with legends, text, etc., I would have to manual adjust the positions for the legend and text for each plot so that it wouldn’t cover up the data, the text would always plot in the upper left corner, etc. Ego driver download for windows 10.

I’ve always known about the “usr” parameter in the par() function (I even used it once in the a previous post about plotting dates along the x-axis), but I never really investigated it fully. Well, recently I had to make many xy scatterplots, and wanted to add a legend in the same location for each plot. A prefect application for “usr”!

For this example I will show my solution to always having the legend in the lower right corner (since I knew ahead of time the data would not fall in that region). For a full explanation of the par()“usr” parameter and par() function in general, check out the ?par() next time you are in R. I’m sure there are many different applications!

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I first will create some fake data so that I can make a xy scatterplot and plot it up. Next, I’ll use the par('usr') to get the range of the x and y axes in the plot. Then I will treat the legend as a variable to access the properties of the legend object (namely the width and the height of the legend rectangle). Finally, I will anchor the legend in the lower right corner of the plot using information from the 'lgd' variable and par('usr')!:

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This has turned out to be a huge time saver, especially when I need to produce lots of quick plots with lots of different data!

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“Automated” placement of the legend exactly in the lower right corner.