R News from another blog for R community
It doesn’t matter if you’ve created the world’s best R Shiny application if you can’t share it with others. Reproducibility and portability are two major key points in software development,...continue reading.
Shiny dashboards created using R have become a staple for data professionals due to their flexibility, power, ease of use, and community support when carrying out data visualization and analytics....continue reading.
Uselessness is such a long useless word! In statistics, R-squared is a statistical measure, that determines the proportion of variance in dependent variable that can be explained by the independent...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Tony ElHabr, with help from the R Weekly...continue reading.
We are thrilled to announce the release of reactable.extras, which is now available for seamless integration into your Shiny applications, marking its debut as a significant release on CRAN. With...continue reading.
The introduction of innovative tools like Shiny and Quarto has empowered researchers and data scientists to transform complex data into interactive and insightful reports. This progress is not just an...continue reading.
If there’s one type of data no company has a shortage of, it has to be time series data. Yet, many beginner and intermediate R developers struggle to grasp their...continue reading.
What about variable selection? Which predictor variables/features should we use? No matter what anyone tells you, this is an unsolved problem. But there are lots of useful methods. See the...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Sam Parmar, with help from the R Weekly...continue reading.
Do you often find yourself developing an R/Shiny dashboard and wish you knew how your users were using the dashboard, which views are being used the most and how inputs...continue reading.
Data analytics and programming don’t often have a lot of things in common. But where they’re almost indistinguishable is the topic of dates. The skill of working with datetimes is...continue reading.