This simply involves installing and loading the devtools package and then executing the appropriate "install_" command from the docs. Install the package from the repo via devtools. In the case of the emo R package I found it here: Typically the easiest way to locate the package repo is by googling "r package ". Locate the package repo and install via devtools This all seems pretty silly, but how would I guess these mistakes from the error messages above? And the more important question is how can I pay forward the help I got to prevent others from making the same mistakes? So what did I do wrong? Well umm. what didn't I do wrong? I had the wrong version of R for one package, I made a typo on another and I was trying to install a package from CRAN that was on github only. Having nothing to loose I give it a shot and luckily as I slept the help piled in!
So I haphazardedly try a bunch of stuff, nothing works and I have a lightbulb moment! The lovely women at R-Ladies Austin were just telling me that if I ask a help question on twitter with the #rstats tag someone may take pity on me and answer. We should be thinking about the data and analysis. I know it’s lazy, but given how many tools us data people use every day I feel like we shouldn't have to think very hard about installing packages. Adding insult to injury, the warning messages are not super helpful. I really do NOT want to be reading through stack overflow for package install troubleshooting help at the moment. Why? Why is my loving R betraying me and making me overthink the install of some packages? It’s 11 at night before my early AM flight.
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