Numeric2Cat_palette = numeric2Cat_palette, Library ( rmap ) library ( jgcricolors ) # Create a list of ranges and categorical color scales for each parameter numeric2Cat_param 10" ),Ĭ ( names ( jgcricolors :: jgcricol ( ) $ pal_scarcit圜at ) ) ) numeric2Cat_palette 10" = "black" ),Ĭ ( "pal_scarcit圜at" ) ) # Can be a custom scale or an R brewer palette or an rmap palette numeric2Cat_legendTextSize <- list ( c ( 0.7 ),Ĭ ( 0.7 ) ) numeric2Cat_list <- list (numeric2Cat_param = numeric2Cat_param, ScaleRangexDiffPrcnt = c ( - 150, 150 ) ) # If multiple parameters in data users can set up scaleRange for each param as: # scaleRange_i = ame(param = c("param1","param2"), # min = c(0,0), # max = c(15000,2000)) # scaleRangexDiffAbs_i = ame(param = c("param1","param2"), # min = c(0,0), # max = c(15000,2000)) ScaleRangeDiffPrcnt = c ( - 60, 60 ) ) # For Year Diff plots data = ame (subRegion = c ( "Austria", "Spain", "Italy", "Germany", "Greece", "Austria", "Spain", "Italy", "Germany", "Greece" ),
My environment = OS X 10.10, R 3.Library ( rmap ) # For Scenario Diff plots data = ame (subRegion = c ( "Austria", "Spain", "Italy", "Germany", "Greece", Fire up your terminal one more time, throw the IPython command and keep your fingers crossed! ipython notebook In your terminal type: ipython kernelspec install -replace -name ir -user /Library/Frameworks/R.framework/Versions/3.1/Resources/library/IRkernel/kernelspecĪfter you run that in terminal, go back into R and run: library ( IRdisplay ) library ( IRkernel ) installspec ()Īt this point you should be set to go. In that case, there is a simple work-around. If that is the case, then you’ve quickly found the problem that took me hours of detective work to track down. print ( system.file ( "kernelspec", package = "IRkernel" ))Ĭhances are the package is sending the R kernel to somewhere like “/Library/Frameworks/R.framework/Versions/3.1/Resources/library/IRkernel/kernelspec”. Run the following command in R to find the path IRkernel is hitting. RStudio Installation This is much easier than the above R installation. In my case, installspec() wouldn’t fire up, so I did a little detective work. If a new version of R comes out (and is on homebrew), simply repeat everything and homebrew should take care of removing your old version and installing the newest version.
Then in R: library ( RCurl ) library ( devtools ) install_local ( './rzmq' ) install_github ( 'IRkernel/repr' ) install_github ( "IRkernel/IRdisplay" ) install_github ( "IRkernel/IRkernel" )Īt this point the R kernel should work (in theory) by executing the installspec() function from your new IRkernel package but… Make sure to place the file in your R working directory. Note, since the rzmq package includes dependencies, we’ll be cloning the GitHub repo and installing it locally. Note, it may be a good idea to install them one at a time. When you open R, or start a new session, you have only the base version of R available, and it is pretty spartan. Each package adds new functions and/or data to R, enabling you to do much more in the R and RStudio environment.
#BREW INSTALL R STUDIO UPDATE#
If you use Homebrew: brew install libzmq3Īssuming that those libraries brewed without any errors, start R in your terminal by typing “R” or fire up R-Studio. The most important way to update R is to add packages. My original method: If the above method doesn’t work, you may have more luck here.
#BREW INSTALL R STUDIO HOW TO#
If not, the instructions below show you how to clone the IRkernel GitHub repo and install from source on your local machine. install.packages ( c ( 'rzmq', 'repr', 'IRkernel', 'IRdisplay' ), repos = c ( '', getOption ( 'repos' )), type = 'source' ) IRkernel :: installspec ( user = FALSE ) Next, fire up R, install from source and start your kernel. Or, if you use MacPorts sudo port install zmq If you use Homebrew: xcode-select -install Note: Make sure you’ve got Xcode installed. Update: This install method is less involved The ability to add an R kernel to the IPython environment gives one the ability to run Python and R side-by-side in the same programming environment.
#BREW INSTALL R STUDIO CODE#
IPython is a great tool for developers, particularly for R programmers who are accustomed to the luxury of running blocks of code during development.
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