Tag: packages

Feed: R-bloggers. Author: rstats on Bryan Shalloway's Blog. Identifying R Functions & Packages Used in GitHub Repos | R-bloggers % distinct() %>% DT::datatable(rownames = FALSE, class = 'cell-border stripe', filter = 'top', escape = FALSE, options = list(pageLength = 10)) David Robinson Tidy Tuesday Also posted table to google drive here. The following package dependencies were not installed locally during parsing. Any function from these packages (along with any custom functions) will most likely be assigned pkgs = "(unknown)": ggflags; ebbr; rKenyaCensus; tidymetrics; shinymetrics; drlib; shinybones; treesnip; StatsBombR readr::read_csv("https://raw.githubusercontent.com/brshallo/funspotr-examples/main/data/funs/drob-tidy-tuesdays-funs-20220114.csv") %>% distinct() %>% DT::datatable(rownames = FALSE, class = 'cell-border stripe', filter ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. This post is part of a series of technotes about r-universe, a new umbrella project by rOpenSci under which we experiment with various ideas for improving publication and discovery of research software in R. As the project evolves, we will post updates to document features and technical details. For more information, visit the r-universe project page. What is renv RStudio’s renv package is a powerful dependency management toolkit for R. It allows you to create a lockfile that records the exact versions of R packages used in a given project, ... Read More

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Two hundred eleven new packages made it to CRAN in November. Here are my “Top 40” picks in thirteen categories: Computational Methods, Data, Ecology, Finance, Genomics, Humanities, Machine Learning, Medicine, Networks, Statistics, Time Series, Utilities, and Visualization. It was gratifying to see multiple packages developed for applications in the Computational Humanities. R ... Read More

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. One hundred forty-one new packages made it to CRAN in October. Here are my “Top 40” picks in twelve categories: Computational Methods, Data, Genomics, Machine Learning, Medicine, Networks, Science, Social Science, Statistics, Time Series, Utilities, and Visualization. Computational Methods gslnls v1.0.2: Implements an R interface to nonlinear least-squares optimization with the GNU ... Read More

Feed: R-bloggers. Author: Dario Radečić. Visualizing table data is no small task. It requires both data manipulation and data visualization skills from the technical end. It also requires knowledge about your audience. Ask yourself — For whom are you visualizing the data? Do you need interactivity? Will you include the table in a web application? The list of questions goes on and on. Thankfully, we have a solution. This article brings you answers on the best R packages for visualizing table data. We’ll go over four of them today, and we’ll also show you how to tie them together in ... Read More

Feed: R-bloggers. Author: Appsilon. Update August 2020: We are sorry to inform you that shiny.users package development has been suspended. We currently have no plans to continue development. Although there is significant interest in a Shiny authorization package, the effort to maintain and improve our early release was unsustainable and we decided to use this time on our other open-source packages such as shiny.semantic. Don’t worry though, there are existing tools for user authorization and authentication on the market that you can use: shinyapps.io, Shiny Server Pro, R Studio Connect, auth0 package (with our Auth0 management API), using nginx and ... Read More

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Two hundred twenty new packages stuck to CRAN in September. Here are my “Top 40” picks in fourteen categories: Art, Computational Methods, Data, Econometrics, Finance and Insurance, Genomics, Machine Learning, Medicine, Networks and Graphs, Science, Statistics, Time Series, Utilities, and Visualization. Art rfishdraw v0.1.0: Automatically generates fish drawings using the fishdraw JavaScript ... Read More

Feed: R-bloggers. Author: finnstats. [This article was first published on Methods – finnstats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. R Packages for Data Science, you’ll learn about the tidyverse library in this lesson, which is a collection of R tools that you can use to manipulate your datasets. You’ll also discover how to use some of the dplyr package’s key functions to select and filter data. R Packages for Data Science ... Read More

Feed: R-bloggers. Author: R Views. [This article was first published on R Views, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. One hundred sixty new packages covering a wide array of topics made it to CRAN in August. I thought I would emphasize the breadth of topics by expanding the number of categories organizing my “Top 40” selections beyond core categories that appear month after month. Here are my picks in fourteen categories: ... Read More

Feed: R-bloggers. Author: Benjamin Smith. [This article was first published on r – bensstats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Candlestick plots are something you see regularly when dealing with stocks. Whether you are an investor, an analyst or even an outsider, this type of chart always in interesting to look at. In this brief blog, I’m going to share a custom function I made for making a candlestick charts using ... Read More