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shinyMatrix - Matrix Input for Shiny Apps
shinyMatrix - Matrix Input for Shiny Apps
In this post we’d like to introduce you to our new R package shinyMatrix. It provides you with an editable matrix input field for shiny apps.
·inwt-statistics.com·
shinyMatrix - Matrix Input for Shiny Apps
No Framework, No Problem! Structuring your project folder and creating cust
No Framework, No Problem! Structuring your project folder and creating cust
Pedro Coutinho Silva is a software engineer at Appsilon Data Science. It is not always possible to create a dashboard that fully meets your expectations or requirements using only existing libraries. Maybe you want a specific function that needs to be custom built, or maybe you want to add your own style or company branding. Whatever the case, a moment might come when you need to expand and organize your code base, and dive into creating a custom solution for your project; but where to start?
·rviews.rstudio.com·
No Framework, No Problem! Structuring your project folder and creating cust
rsync as R package
rsync as R package
In this article we present our R package rsync, which serves as an interface between R and the popular Linux command line tool rsync. Rsync allows users of Unix systems to synchronize local and remote files between two locations.
·inwt-statistics.com·
rsync as R package
Using the Data Viewer – RStudio Support
Using the Data Viewer – RStudio Support
Introduction Starting the viewer Sorting Filtering Searching Advanced topics Auto-refreshing Labels Restrictions and Performance Saving filters Introduction RStudio includes a data viewer th...
·support.rstudio.com·
Using the Data Viewer – RStudio Support
20 Free Online Books to Learn R and Data Science - Python and R Tips
20 Free Online Books to Learn R and Data Science - Python and R Tips
If you are interested in learning Data Science with R, but not interested in spending money on books, you are definitely in a very good space. There are a number of fantastic R/Data Science books and resources available online for free from top most creators and scientists. Here are such 13 free 20 free (so […]
·cmdlinetips.com·
20 Free Online Books to Learn R and Data Science - Python and R Tips
Customizing Package Build Options – RStudio Support
Customizing Package Build Options – RStudio Support
Customizing Package Build Options Overview There are three R package build commands used by the RStudio package development tools: R CMD check R CMD build R CMD INSTALL It's possible to c...
·support.rstudio.com·
Customizing Package Build Options – RStudio Support
Exploring Data - Creating Reactive Web Apps with R and Shiny
Exploring Data - Creating Reactive Web Apps with R and Shiny
I developed a web application to enable exploration of the data collected by a survey of software testers. I explain how R and Shiny can be used to create reactive web applications which make data accessible to a wider audience.
·blog.scottlogic.com·
Exploring Data - Creating Reactive Web Apps with R and Shiny
Code Snippets – RStudio Support
Code Snippets – RStudio Support
Overview Code snippets are text macros that are used for quickly inserting common snippets of code. For example, the fun snippet inserts an R function definition: If you select the snippet from th...
·support.rstudio.com·
Code Snippets – RStudio Support
RStudio IDE Easy Tricks You Might've Missed · R Views
RStudio IDE Easy Tricks You Might've Missed · R Views
The RStudio IDE reached version 1.0 this month. The IDE has come a long way since the initial release 5 and a half years ago. Many major features have been built: projects, package building tools, notebooks. During that same period, often hidden in the shadows, a growing list of smaller features has been changing lives. In celebration of version 1.0 this post hopes to spread fanfare for a few of these easy-to-miss tools.
·rviews.rstudio.com·
RStudio IDE Easy Tricks You Might've Missed · R Views
Quick list of useful R packages – RStudio Support
Quick list of useful R packages – RStudio Support
Recommended Packages Many useful R function come in packages, free libraries of code written by R's active user community. To install an R package, open an R session and type at the command line in...
·support.rstudio.com·
Quick list of useful R packages – RStudio Support
HTTPS to Secure Your RStudio Shiny App Work Environment
HTTPS to Secure Your RStudio Shiny App Work Environment
HTTPS to Secure Your RStudio + Shiny App Work Environment Click any link in list below to jump to topic Creating a Friendly URL Route 53 to Host Domain and Create Subdomains AWS Certificate Manager for SSL keys AWS Elastic Load Balancers: HTTPS Redirection Installing Nginx & Creating Configuration Files I wanted to create this post as an addition to my previous post Running R on AWS EC2 and Logging into RStudio from Anywhere to show how to secure your AWS environment.
·jagg19.github.io·
HTTPS to Secure Your RStudio Shiny App Work Environment
Good practices in R programming
Good practices in R programming
R is a free software environment for statistical computing and graphics, available from The R Project for Statistical Computing. At Indiana University, R is ...
·kb.iu.edu·
Good practices in R programming
Package management: Using repositories in production systems | R-bloggers
Package management: Using repositories in production systems | R-bloggers
Data science is characterized among other things using open source tools. An advantage when working with open source languages such as R or Python is the large package world. This provides tools for numerous use cases and problems through the development within huge communities. The packages are organized in digital ...
·r-bloggers.com·
Package management: Using repositories in production systems | R-bloggers
Shiny 1.0.4
Shiny 1.0.4
Shiny 1.0.4 is now available on CRAN. To install it, run: install.packages("shiny") For most Shiny users, the most exciting news is that file inputs now support dragging and dropping: It is now possible to add and remove tabs from a tabPanel, with the new functions insertTab(), appendTab(), prependTab(), and removeTab(). It is also possible to hide and show tabs with hideTab() and showTab(). Shiny also has a new a function, onStop(), which registers a callback function that will execute when the application exits.
·blog.rstudio.com·
Shiny 1.0.4