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I tried others and it did not work.N.B. Solution 2:To install other R Packages on Jupyter beyond R-essentials install.packages('readr', repos='')One issue is that the specific repository is the US.R-Project (as below). To do this:Open your (independent) R installation, then run the following command: install.packages("png", "/home/user/anaconda3/lib/R/library")To add new package to the correct R library used by Jupyter, otherwise the package will be installed in /home/user/R/i686-pc-linux-gnu-library/3.2/png/libs mentioned in. See here: )Alistaire‘s answer is another possibility to add R packages:If you install packages from inside of R via the regular install.packages (from CRAN mirrors), or devtools::install_github (from GitHub), they work fine.run install('/path/to/unzipped-package') again. run install.packages('missing-package', repos='') for all dependancies Command failed due to missing dependancies, but now I know what’s missing! activate correct conda environment (if required) Errors were multiple and not descriptive.Was able to resolve a problem using these steps: This installed R packages within the Anaconda directory architecture that were executable in R in terminal, RStudio and R environment in Jupyter Notebooks of the Anaconda Navigator. I was able to use the Conda install and site for details. So I only changed that and it worked as a charm… thanks to Dninhos Solution 10:I attempted to install R packages ggplot2, tidyverse, etc using standard command line CRAN repositories and ran into multiple issues and problems.Everything from unusable “init.tcl” files to a string of fifteen character errors. I was able to install the libraries on RStudio but not on Jupyter Notebook (they have different versions of R) The above solution “almost” worked, it’s just that I found the Jupyter Notebook was trying to install in a different directory, and it will report what directory. Solution 9:Someone suggested a not so elegant way around it, but actually it doesn’t matter as long as it works fine.Install.packages('package','/Users/yourusernamehere/anaconda/lib/R/library')I spent almost an entire morning looking for an answer to this problem. %load_ext rpy2.ipythonIn next chunks, you can simply run any r code by specifying %RBelow is my favorite method to install and/or load r package %R if (!require("pacman")) install.packages("pacman")%R pacman::p_load(dplyr, data.table, package3, package4)P_load argument will install + load the package if it’s not in your lib else it will simply load it.
The Visual Studio for Mac debugger lets you step inside your code by setting Breakpoints, Step Over statements, Step Into and Out of functions, and inspect the current state of the code stack through powerful visualizations.Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft. At first, the launch.json file looks something like this:Use the Visual Studio debugger to quickly find and fix bugs across languages. Now VS Code creates a configuration file named launch.json, and opens it in the editor window. Besides allowing to do code refactoring and version control by installing extensions it is possible to extend this simple code editor to a multi-platform development Chinese, Czech, English, French, German, Italian, Japanese, Korean, Polish, Portuguese (Brazil), Russian, Spanish and Turkish The Chrome debugger is the one you want. Is a free of charge source code editor from Microsoft that is available for Windows, Linux and OS-X. There are 3rd party plugins available that enable Visual Studio Code debugging on embedded targets via GDB + J-Link + GDBServer.In the Solution Explorer, right-click your solution, in this case PancakeFinder, indicated by the 1 in the screenshot below.Visual Studio includes a code editor supporting IntelliSense (the code completion component) as well as code refactoring. It can produce both native code and managed code.Open Visual Studio for Mac and open the solution that has the projects you want to debug. Visual Studio uses Microsoft software development platforms such as Windows API, Windows Forms, Windows Presentation Foundation, Windows Store and Microsoft Silverlight.Java (and J#) were supported in the past.The most basic edition of Visual Studio, the Community edition, is available free of charge. Support for other languages such as Python, Ruby, Node.js, and M among others is available via plug-ins. NET, C#, F#, JavaScript, TypeScript, XML, XSLT, HTML, and CSS. Built-in languages include C, C++, C++/CLI, Visual Basic. It accepts plug-ins that expand the functionality at almost every level—including adding support for source control systems (like Subversion and Git) and adding new toolsets like editors and visual designers for domain-specific languages or toolsets for other aspects of the software development lifecycle (like the Azure DevOps client: Team Explorer).Visual Studio supports 36 different programming languages and allows the code editor and debugger to support (to varying degrees) nearly any programming language, provided a language-specific service exists. Other built-in tools include a code profiler, designer for building GUI applications, web designer, class designer, and database schema designer.The services can then be consumed for creation of other packages, which add functionality to the Visual Studio IDE.Support for programming languages is added by using a specific VSPackage called a Language Service. However, MPF does not provide all the functionality exposed by the Visual Studio COM interfaces. The Visual Studio SDK also includes the Managed Package Framework ( MPF), which is a set of managed wrappers around the COM-interfaces that allow the Packages to be written in any CLI compliant language. Visual Studio uses COM to access the VSPackages. All editors, designers, project types and other tools are implemented as VSPackages.
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