To preface this question I am coming from the perspective of an absolute beginner, trying to learn Julia. I was recommended to try the SciML tutorial and in trying to install it have fallen at the first hurdle.
So far I have:
Installed Julia
Installed Anaconda
Installed Jupyter Notebook
Added "git" through the Anaconda console
Added "IJulia"
From here I have been able to open Jupyter through Anaconda and access Julia 1.7.3 within it. Following this I attempted to follow the instructions on the SciML website for getting started with the tutorial, which is to enter this code:
using Pkg
pkg"add https://github.com/SciML/SciMLTutorials.jl"
using SciMLTutorials
SciMLTutorials.open_notebooks()
However, the second line is throwing this error
invalid git HEAD (reference 'refs/heads/master' not found)
I have also tried installing the package through the Julia console, but recieve the same error.
I am at a loss of how to proceed - I can't find anything in the documentation that suggests why this may be or how to proceed - since I am so new to this I suspect I may have missed a step in my installation process, but can't figure out where that may be.
Related
I keep trying to add IJulia in the REPL, and I keep getting this error message:
I tried installing JSON directly, but the REPL would say "The following packages names could not be resolved".
If it helps, I'm running a Windows 10 laptop with julia 1.0.5
Is there a fix to this? Should I install an earlier version to julia?
Appreciate the time.
It seems like you have outdated registries locally.
The registries are ~/.julia/registries, message like The following package names could not be resolved usually suggests that registry are not updated or somehow corrupted.
Delete them (the directory ~/.julia/registries/General) and then adding packages should cause the General registry to be downloaded, the newest version. Then you should be able to add IJulia without problem.
More people encountered this problem with messed up registry, see https://discourse.julialang.org/t/registry-failed-to-update/17840/10
Installing Quantstrat Issues. I am running the latest versions of R, RStudio, and Rtools. I have installed devtools / remotes packages and cannot seem to get quantstrat installed. enter image description here
I had similar problems too. Installing quantstrat via cmd works well for me. Here are the steps:
Create a folder for packages i.e RPackages\
Download the file from github to that specific folder and extract the files to the library name. i.e RPackages\quantstrat\
go on command line and goto RPackages
Type" R CMD build quantstrat
If it was successful, you will get a message like "building 'package_name_version_number.tar.gz'"
Now type: R CMD INSTALL package_name_version_number.tar.gz
Let me know if you have any other challenges.
I get the following error at step 4:
'R' is not recognized as an internal or external command,
operable program or batch file.
what do I need to do to overcome this.
Here is the fix that worked for me:
There could be version issues depending on what version of R that you have especially for Blotter and PerformanceAnalytics. Since PerformanceAnalytics to install blotter, you must ensure that version force compatibility and the easiest way is just to install it fresh. Start by installing PerformanceAnalytics then blotter then quantstrat and you should be in good shape. Use the code below and let me know how your results turn out. Took me a few hours to solve it, but just got it done today (7/27/2020)
install.packages("PerformanceAnalytics")
remotes::install_github("braverock/blotter")
remotes::install_github("braverock/quantstrat", force = TRUE)
I created an R package for an introductory course in remote sensing with R (github link) and want to provide the handouts as as static PDF vignettes (copy protected) as described here. With the standard Linux commandline "R CMD build FEglobaleOekologie && R CMD INSTALL FEglobaleOekologie_0.0.1.tar.gz" everything works fine. However, when I install it from within my RStudio project or under MS Windows with devtools::install_github" there are no vignettes. The later one is the target platform, where I would like to have them.
Sadly I could not find any thread, that solves my problem. Can anyone tell what's going wrong here or what I am doing wrong?
I've run into problems like this, too. I've found that build doesn't always build my vignettes (that generally happens with using build in the RStudio menu, since I believe that doesn't include the vignettes by default ). You might want to try also running build_vignettes() before uploading to GitHub; and when installing from GitHub, explicitly including build_vignettes = TRUE in the install_github function. Otherwise, you may have a path issue for the installed package.
I'm trying to install Apache Zeppelin on my old computer that runs Ubuntu. So far, I'm able to install Zeppelin very easily by cloning the latest 0.6.0 snapshot release using
git clone https://github.com/apache/incubator-zeppelin.git
cd incubator-zeppelin
mvn clean package -DskipTests
but I want to have R on Zeppelin. Supposedly, the 0.6.0 snapshot has two R interpreters, but when I run the R tutorial (the pre-made note that uses %r), I get this list of errors.
I followed several guides to try and install R as an interpreter, but each one resulted in some kind of error. I tried this instructional:
http://www.r-bloggers.com/interactive-data-science-with-r-in-apache-zeppelin-notebook/, and got a build failure on "R Interpreter". The error message was
"dependency 'evaluate' is not available for package 'rzeppelin'
* removing '/home/rebecca/Zeppelin-With-R/R/lib/rzeppelin'"
and then a bit lower down
Failed to execute goal org.codehaus.mojo:exec-maven-plugin:1.2.1:exec (default) on project zeppelin-zrinterpreter: Command execution failed. Process exited with an error: 1
I also tried this Stack Overflow guide: Anyone tried to add R interpreter onto Apache Zeppelin?, and while I was able to run incubator-zeppelin, I received an error when I used either the %spark.r or %r interpreter tags, saying both "interpreter not found" and "prefix not found". Spark doesn't work either after following the first solution, getting the same error mentioned in the second solution (the jar file not being there), and then trying the second solution.
Does anyone have a guide for installing R onto the newest version of Zeppelin? I'm very flexible in the way I can install it. I can run other operating systems onto my computer, and I also have Virtual Box installed on my other computer, which is a mac.
There is currently a bug in the latest HEAD of zeppelin that was recently introduced and prevents the R interpreter from launching cleanly
Did anyone created a Zeppelin Jira Issue for that?
For me it is working on Zeppelin branch-0.6
build Zeppelin with r profile: -DskipTests -Prthis will...
create a directory 'R' in git repo root
copy the 'zeppelin-rinterpreter*.jar' into git_repo_root/interpreter/spark
build Zeppelin with build distro profile: e.g. -DskipTests -Pbuild-distr -Pspark-1.6 -Phadoop-2.6
use zeppelin-distribution/target/zeppelin*.tar.gz for installation
ensure both 1.1 and 1.2 are present in your zeppelin installation
The error you're getting is that you need to have the R package evaluate installed. You can install this simply by launching R and typing install.packages('evaluate').
That said, your excerpt mentions the directory Zeppelin-with-R. That's my repo, which is the R interpreter in the form when it was accepted into Zeppelin. That is version 0.5.6, not 0.6.0. There is currently a bug in the latest HEAD of zeppelin that was recently introduced and prevents the R interpreter from launching cleanly. Your best bet for now is to use the one from my repo and install clean, without trying to pull-in from Zeppelin HEAD.
First let me preface this with the disclaimer that I'm new to R, but a longtime Python power user. Given that I love the conda ecosystem and the Jupyter notebook, I'm trying to set them up as my R development environment as well.
So using the instructions at: https://www.continuum.io/blog/developer/jupyter-and-conda-r I've set up a Jupyter Notbook that using an RKernel that should be hitting the installation of R installed in my Anaconda folder (I would think anyway).
Getting it setup was easy peasy and everything is working great for standard R stuff but my analysis requires some R libraries that are not available in r-essentials channel. No problem, I think I know how to install an R library. I go to "C:\Anaconda\R\bin\x64\Rgui.exe" and install rgdal, dismo, and some other packages. To check my work I looked in C:\Anaconda\R\library and there they are.
But when I run a jupyter notebook from the Anaconda command prompt. And start a new R notebook I get a "Error in library(dismo): there is no package called 'dismo'" Wait a sec, I run a ".libPaths()" from the notebook and it looks like its pointing
You can add .libPaths('path_where_your_packages_are') in a code cell at the beginning of your notebook to tell jupyter where your packages are. For me that was .libPaths('~/R/win-library/3.2') (work-around from discnerd who filed this issue on github).
To find out the path to your packages, just install a random package in R and wait for the location to be printed to the console.
More details (likely specific to my system/installations): When running .libPaths() in R, I got 2 locations: one for which admin rights were required for writing, and one for which admin rights were not required for writing. While packages installed through R land in the location where admin rights are not required, jupyter looks at the location where admin rights are required.
You can find out the path to your library with installed.packages()