rstudio | RStudio is an integrated development environment for R
kandi X-RAY | rstudio Summary
kandi X-RAY | rstudio Summary
RStudio is an integrated development environment (IDE) for R
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Top functions reviewed by kandi - BETA
- Sets a JSONArray value to a JSONArray object .
- Called when a chunk was received .
- Synchronize preferences from a layer .
- Create a new project .
- Called when a line widget is being displayed .
- Gets the autocompletion context .
- Parse a multi - line expression .
- Initialize the workbench .
- return null if invalid
- Collects keyboard shortcuts .
rstudio Key Features
rstudio Examples and Code Snippets
Community Discussions
Trending Discussions on rstudio
QUESTION
What is the best way to do the same action across multiple lines of code in the RStudio source editor?
Example 1
Let's say that I copy a list from a text file and paste it into R (like the list below). Then, I want to add quotation marks around each word and add a comma to each line, so that I can make a vector.
...ANSWER
Answered 2022-Mar-16 at 16:20RStudio has support for multiple cursors, which allows you to write and edit multiple lines at the same time.
Example 1
You can simply click Alt on Windows/Linux (or option on Mac) and drag your mouse to make your selection, or you can use Alt+Shift to create a rectangular selection from the current location of the cursor to a clicked position.
Example 2
Another multiple cursor option is for selecting all matching instances of a term. So, you can select names and press Ctrl+Alt+Shift+M. Then, you can use the arrow keys to move the cursors to delete the space and add in the parentheses.
QUESTION
Does the RStudio text editor have a simple automated way to convert this:
...ANSWER
Answered 2022-Mar-13 at 22:13You can use dput:
QUESTION
I am new to using Julia and the atom IDE, and I was wondering if it was possible to somehow just press enter and have the computer run 1 line of code spread over multiple lines, and still have it recognize that it is still the same 1 line of code, just like in Rstudio? (I want this for readability purposes only)
what I mean is something like:
...ANSWER
Answered 2022-Mar-09 at 04:15Yes. The method differs based on what the line of code contains, or specifically, where you want to break the line.
For a string like you've posted in the question, you have to precede the newline with a \ character, to inform Julia that you're using this newline only for readability, and don't want it to be included in the actual string. (Note: I'll be illustrating these with the command-line REPL that has the julia> prompt, but the same principles apply in the Atom/VS Code based IDE setups too).
QUESTION
I've written and optimized a Shiny app, and now I'm struggling with the IT section of the organization where I work to have it published on their servers. Currently, they are claiming that the app is not W3C compliant, which is true, according to the W3C validator.
The errors I'm trying to solve, with no success, are:
Bad value “complementary” for attribute “role” on element “form”.The value of the “for” attribute of the “label” element must be the ID of a non-hidden form control.
Such errors can be seen also in very minimal shiny apps, like:
...ANSWER
Answered 2022-Mar-04 at 08:05The following only deals with the first of the errors you mention (as this one is pretty clear thanks to @BenBolkers comment), but hopefully it points you to the right tools to use.
I'd use htmltools::tagQuery to make the needed modifications - please check the following:
QUESTION
With the parent-child relationships data frame as below:
ANSWER
Answered 2022-Feb-25 at 08:17We can use ego like below
QUESTION
How can I extract all the code (chunks) from an RMarkdown (.Rmd) file and dump them into a plain R script?
Basically I wanted to do the complementary operation described in this question, which uses chunk options to pull out just the text (i.e. non-code) portion of the Rmd.
So concretely I would want to go from an Rmd file like the following
...ANSWER
Answered 2022-Feb-19 at 10:53You could use knitr::purl, see convert Markdown to R script :
QUESTION
I am working on submitting an R package to CRAN. Right now I am trying to reduce the memory footprint of the package. Because this package deals with spatial data that has a very particular format, I want to include a properly formatted shapefile as an example. If I include the full-size original shapefile, there are no warnings (other than file size) in the R CMD checks. However, if I crop the file and include the cropped version in the package (in "inst/extdata") I get this warning:
...ANSWER
Answered 2022-Feb-11 at 23:59This is a known issue[1] where file will mis-identify DBF files with last-update date in the year 2022. Easiest fix is to not use a 2022 update date when saving the file. Alternatively you can simply change the second byte of the file after the fact, e.g.:
QUESTION
I wondered if there is an equivalent to the browser() statement available in RStudio for debugging purposes for Julia (I am using the Juno IDE at the moment).
The R function browser() halts execution and invokes an environment browser when it is called. So, in principle, we can put browser() anywhere in our code to stop in this particular line and see what's stored in the environment at that moment, which is terrific for debugging purposes.
For instance, the code below will stop when i>3. Hence, that's exactly what we will see in the environment browser available in RStudio, where we will observe that i=4 at that moment in the code.
ANSWER
Answered 2022-Feb-11 at 08:31Have a look at Debugger.jl. Specifically the Place breakpoints in source code section:
It is sometimes more convenient to choose in the source code when to break. This is done for instance in Matlab/Octave with keyboard, and in R with browser(). You can use the @bp macro to do this
Your R example translated to Julia:
QUESTION
For the last 5 days, I am trying to make Keras/Tensorflow packages work in R. I am using RStudio for installation and have used conda, miniconda, virtualenv but it crashes each time in the end. Installing a library should not be a nightmare especially when we are talking about R (one of the best statistical languages) and TensorFlow (one of the best deep learning libraries). Can someone share a reliable way to install Keras/Tensorflow on CentOS 7?
Following are the steps I am using to install tensorflow in RStudio.
Since RStudio simply crashes each time I run tensorflow::tf_config() I have no way to check what is going wrong.
ANSWER
Answered 2022-Jan-16 at 00:08Perhaps my failed attempts will help someone else solve this problem; my approach:
- boot up a clean CentOS 7 vm
- install R and some dependencies
QUESTION
I'm trying to use packages that require Rcpp in R on my M1 Mac, which I was never able to get up and running after purchasing this computer. I updated it to Monterey in the hope that this would fix some installation issues but it hasn't. I tried running the Rcpp check from this page but I get the following error:
ANSWER
Answered 2022-Feb-10 at 21:07Currently (2022-02-05), CRAN builds R binaries for Apple silicon using Apple clang (from Command Line Tools for Xcode 12.4) and an experimental build of gfortran.
If you obtain R from CRAN (i.e., here), then you need to replicate CRAN's compiler setup on your system before building R packages that contain C/C++/Fortran code from their sources (and before using Rcpp, etc.). This requirement ensures that your package builds are compatible with R itself.
A further complication is the fact that Apple clang doesn't support OpenMP, so you need to do even more work to compile programs that make use of multithreading. You could circumvent the issue by building R itself and all R packages from sources with LLVM clang, which does support OpenMP, but this approach is onerous and "for experts only". There is another approach that has been tested by a few people, including Simon Urbanek, the maintainer of R for macOS. It is experimental and also "for experts only", but seems to work on my machine and is simpler than trying to build R yourself.
Warning: These instructions come with no warranty and could break at any time. They assume some level of familiarity with C/C++/Fortran program compilation, Makefile syntax, and Unix shells. As usual, sudo at your own risk.
I will try to address compilers and OpenMP support at the same time. I am going to assume that you are starting from nothing. Feel free to skip steps you've already taken, though you might find a fresh start helpful.
I've tested these instructions on a machine running Big Sur, and at least one person has tested them on a machine running Monterey. I would be glad to hear from others.
Download an R binary from CRAN here and install. Be sure to select the binary built for Apple silicon.
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Install rstudio
You can use rstudio like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the rstudio component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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