Today we’re excited to announce flexdashboard, a new package that enables you to easily create flexible, attractive, interactive dashboards with R. Authoring and customization of dashboards is done using R Markdown and you can optionally include Shiny components for additional interactivity. Highlights of the flexdashboard package include: Support for a wide variety of components including interactive htmlwidgets; base, lattice, and
Rationale This Fall, I am teaching graduate-level biostatistics. I have not had the good fortune of teaching many graduate-level offerings, and I am really excited to do so. A team of top-notch big data scientists are hosted at NCEAS. They have recently formed a really exciting collaborative-learning collective entitled ecodatascience. I was also aware of
Shortly after running a webinar last week I received an email from Achim Rumberger, who attended the webinar live. Achim immediately put the webinar material into use for his own project, which involves mapping ZIP Codes in Germany. This was the first case study I received related to my new course, Shapefiles for R Programmers, and I wanted to share
Move forward from being a R user to become a R developer. Discover from an inner perspective the R working mechanisms and master your R programming skills.
The post "R for Developers" Course | May 30-31 appeared first on MilanoR.
We all started R from somewhere. Some of us progressed quickly and some of us struggled and suffered through every step. But we all started. This post is written for the absolute beginners, and details how to install R, RStudio and how to deal with package installation problems. Download and install the latest version of R (https://cran.r-project.org/bin/windows/base/ ) Download...
Have you ever encountered R packages versioning issues when one application required different dependent packages versions than other? Have you ever got stuck with your project because of wrong pre-installed software versions on machine on which you should run your code? Or maybe you had heavy adventures with installing R software on a new machine because...
As an author of several open-source software projects, I’ve taken for granted that people using the software share the same community values as I do. Open-source authors provide their code “free” to the community so that others may benefit without having to re-invent the wheel. The only expectation (but not an actual requirement per se), is
Detect sentinel values, recode factor variables, replace missing values: a tutorial on various steps in data preparation using R.
The post Preparing the data for modelling with R appeared first on MilanoR.
Announcing the new shiny apps gallery that showcases the use of Plotly’s R API in Shiny Applications. You can visit the gallery here: https://plot.ly/r/shiny-gallery/ Apps showcase the use of a variety of plotly features including: Adding interactive plotly graphs using plotlyOutput() Embedding ggplot style visualizations using ggplotly() Accessing click, hover and zoom events using event_data()
This past January, we held the first ever Shiny Developer Conference. It was a chance to gather together a group of intermediate to advanced Shiny users, and take their skills to the next level. It was an exciting event for me in particular, as I’ve been dying to share some of these intermediate and advanced