rmarkdown
dplyr
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rmarkdown | dplyr | |
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38 | 40 | |
2,802 | 4,652 | |
1.1% | 0.7% | |
7.6 | 7.4 | |
18 days ago | 23 days ago | |
R | R | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rmarkdown
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Pandoc
I'm surprised to see no one has pointed out [RMarkdown + RStudio](https://rmarkdown.rstudio.com) as one way to immediately interface with Pandoc.
I used to write papers and slides in LaTeX (using vim, because who needs render previews), then eventually switched to Pandoc (also vim). I eventually discovered RMarkdown+RStudio. I was looking for a nice way to format a simple table and discovered that rmarkdown had nice extensions of basic markdown (this was many years ago so maybe that is incorporated into vanilla markdown/pandoc).
The RMarkdown page claims:
> R Markdown supports dozens of static and dynamic output formats including HTML, PDF, MS Word, Beamer, HTML5 slides, Tufte-style handouts, books, dashboards, shiny applications, scientific articles, websites, and more.
...which I think is largely due to using pandoc as the core generator.
RStudio shows you the pandoc command it runs to generate your document, which I've used to figure out the pandoc command I want to run when I've switched to using pandoc directly.
This is a bit of a "lazy" way to interact with pandoc. Maybe the "laziest" aspect: when I get a new computer, I can install the entire stack by installing Rstudio, then opening a new rmarkdown document. Rstudio asks whether I'd like to install all the necessary libraries -- click "yes" and that's it. Maybe that sounds silly but it used to be a lot of work to manage your LaTeX install. These days I greatly favor things that save me time, which seems to get more precious every year.
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2023 Lookback
Then, I worked on a Shiny project where I had to learn R Markdown. I was very excited about it because being paid to learn a new technology is something I have always preferred. I also worked with Highcharts graphs, which I didn’t do for years. It was also the first time I was being paid to design something. I didn’t enjoy that part as much as development, but I cannot say it was a bother either.
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Why won't my boxplot knit?
files/figure-latex/unnamed-chunk-2-1.pdf) Try to find the following text in midterm-question.Rmd: ![](midterm-question_ You may need to add $ $ around a certain inline R expression `r ` in midterm-question.Rmd (see the above hint). See https://github.com/rstudio/rmarkdown/issues/385 for more info.
- new learner to R .. need help
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We’re Washington Post reporters who analyzed Google’s C4 data set to see which websites AI uses to make itself sound smarter. Ask us Anything!
We used R Markdown for cleaning and analysis, creating updateable web pages we could share with everyone involved. Similarweb’s categories were useful, but too niche for us. So we spent a lot of time recategorizing and redefining the groupings. We used the token count for each website — how many words or phrases — to measure it’s importance in the overall training data.
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Possible to include inline code in a math equation in Org mode?
In [R Markdown](https://rmarkdown.rstudio.com/) or [Quarto](https://quarto.org/), I can include inline code in a math equation, e.g.,
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I have to somehow convert this chart into an html file into a file that opens like a website any ideas?
you probably want an rmd file with html output
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Seeking some markdown help - please redirect me elsewhere if this doesn't belong here
GitHub issue code folding
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Generating PDF 📄 with Python 🐍
R Markdown / Quarto https://quarto.org/ https://rmarkdown.rstudio.com/ ; can dynamically generate a document and compile it to HTML, PDF, others
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PYTHON CHARTS: the Python data visualization site with more than 500 different charts with reproducible code and color tools
Hi! At this moment I'm not opening the source code, but I can explain you the tech used. This site is based on another site I created before named https://r-charts.com/ and it was created with blogdown (HUGO + R Markdown). Hence, each tutorials is an R markdown file. For PYTHON CHARTS, in order to run Python within an R markdown file I had to use an R package named reticulate. In addition, the template depends on shuffle.js for filtering and fuse.js for searching
dplyr
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Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
That's great feedback, thanks!
This tool definitely comes from a place of personal need - beyond just handling large files, I've also never really gelled well with the Excel/Google Sheet model of changing data in place as if you were editing text. I'm a Data Scientist and always preferred the chained data transforms you see in things like dplyr (https://dplyr.tidyverse.org/) or Polars (https://pola.rs/) and I feel this tool maps very closely to the chained model.
Also, thank you for the feature requests! Those would all be very useful - we'll put them on the roadmap.
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IS it possible for a R package to set an R option that only affects that package?
There's an example of how to use zzz.R with a .onload() function to set options in the dplyr code base: https://github.com/tidyverse/dplyr/blob/bbcfe99e29fe737d456b0d7adc33d3c445a32d9d/R/zzz.r
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Calculation within a data table by calling on specific values in two columns
Look at the tidyverse, especially the case_when or mutate functions.
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PSA: You don't need fancy stuff to do good work.
Before diving into advanced machine learning algorithms or statistical models, we need to start with the basics: collecting and organizing data. Fortunately, both Python and R offer a wealth of libraries that make it easy to collect data from a variety of sources, including web scraping, APIs, and reading from files. Key libraries in Python include requests, BeautifulSoup, and pandas, while R has httr, rvest, and dplyr.
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Creating data frame
It looks like your syntax is wrong. I think you’re trying to calculate a new variables in your data frame, or alter an existing column in a data frame. Have a look at the select() function in this reference for the proper syntax to use. https://dplyr.tidyverse.org/ Does that help?
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I'm designing a shirt for a friend, it has 4 embroidered images of things they like/do. One thing is coding, they use R... I'm wondering two things. 1) What's a good image or piece of code or something that I should use? and 2) should I even add it to the design the shirt?
A lot of populat libraries have their own logos. Maybe one of them would be good. Check out dplyr for example: https://dplyr.tidyverse.org/
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Anyone use Python for statistics, particularly DOE or QA/QC? What are your thoughts?
I hope you give it a try when you get a chance: https://dplyr.tidyverse.org/
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Rstudio tidyverse help!
You can read up on the dplyr-verbs here, which I strongly suggest for your exam! In the code examples, you can simply click on any function you don't understand and it will take you directly to the documentation. Good Luck!
- Beginner question
- osdc-2023-assignment1
What are some alternatives?
Pluto.jl - 🎈 Simple reactive notebooks for Julia
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Rustler - Safe Rust bridge for creating Erlang NIF functions
here_here - I love the here package. Here's why.
ggplot2 - An implementation of the Grammar of Graphics in R
tinytex - A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live
nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir
TikZ - Complete collection of my PGF/TikZ figures.
explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
blogdown - Create Blogs and Websites with R Markdown
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more