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Feed: R-bloggers. Author: Achim Zeileis. [This article was first published on Achim Zeileis, 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. A new arXiv paper investigates which building blocks of random forests, especially causal forests and model-based forests, make them work for heterogeneous treatment effect estimation, both in randomized trials and observational studies. Citation Susanne Dandl, Torsten Hothorn, Heidi Seibold, Erik Sverdrup, Stefan Wager, Achim Zeileis (2022). “What Makes Forest-Based Heterogeneous Treatment Effect ... Read More

Feed: SAS Blogs. Author: Pippa White. Research, supply chain, manufacturing, and sales increasingly depend on partnerships in a digital ecosystem. Cloud-based analytics makes it possible to collaborate intelligently at scale. For years, life sciences companies have been justifiably cautious about moving their data science functions into the cloud. Although the industry’s central purpose is to accelerate innovation in science and healthcare, companies are conservative when it comes to data—and with good reason. Regulatory scrutiny and reputational risk mean that information security is paramount where patient medical records are concerned, and the results of clinical trials are commercially sensitive too. The ... Read More

Feed: SAS Blogs. Author: Charlie Chase. Customer data platforms (CDPs) are used to consolidate and integrate customer and consumer data into a single data source. CDP technologies offer sales and marketing teams relevant insights needed to run more profitable promotional campaigns. A CDP can grab information from online and offline sources such as websites, mobile apps and email platforms to offer a complete view of the customer. After retrieving this data, a CDP can then help organizations predict the optimal next purchase with a particular customer. Consumer products companies and retailers can then determine what they need to do in order ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. A previous article shows how to compute the probability density function (PDF) for the multivariate normal distribution. In a similar way, you can compute the density function for the multivariate t distribution. This article discusses the density function for the multivariate t distribution, shows how to compute it, and visualizes the density for a bivariate distribution in two different ways. As for all multivariate computations, the computations are simpler when you express the formulas in terms of matrices and vectors. This article uses the SAS/IML language to evaluate the multivariate t distribution. ... Read More

Feed: R-bloggers. Author: Pachá. [This article was first published on Pachá, 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. Learn how to build an interactive application such as http://pachamaltese.shinyapps.io/gapmindershiny. This course aims to introduce people with basic R knowledge to develop interactive web applications using the Shiny framework. The course consists of two days, one-hour session per day, where we will discuss topics such as user interface (UI), server-side logic (tables and graphs ... Read More

Feed: R-bloggers. Author: Jim. [This article was first published on Data Science Tutorials, 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. The post Replace NA with Zero in R appeared first on Data Science Tutorials Replace NA with Zero in R, Using the dplyr package in R, you can use the following syntax to replace all NA values with zero in a data frame. Substitute zero for any NA values. Create new variables ... Read More

Feed: SAS Blogs. Author: Lisa Allred. Changes and conflict happening in our world impact each of us in unique ways, causing strife and uncertainty. This can leave us feeling unsure of what to say, who to say it to, and how to find support. I don’t keep it a secret that I am the parent of an LGBTQ young adult. This has been a rough week for me, full of uneasiness and fear of the future. I’ve spent time reflecting on how we can navigate these sometimes-overwhelming worries and still be productive workers, good parents, loving spouses and caring friends. I believe ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. Recently, I needed to solve an optimization problem in which the objective function included a term that involved the quantile function (inverse CDF) of the t distribution, which is shown to the right for DF=5 degrees of freedom. I casually remarked to my colleague that the optimizer would have to use finite-difference derivatives because "this objective function does not have an analytical derivative." But even as I said it, I had a nagging thought in my mind. Is that statement true? I quickly realized that I was wrong ... Read More

Feed: R-bloggers. Author: Pachá. [This article was first published on Pachá, 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. Paid course. Get tickets at https://www.buymeacoffee.com/pacha/e/77110. This course aims to introduce people with basic R knowledge to develop interactive web applications using the Shiny framework. We will discuss topics such as user interface (UI), server-side logic (tables and graphs that respond to user selection), dashboard components, and the creation of modular components. Questions are ... Read More

Feed: R-bloggers. Author: R on The Data Sandbox. [This article was first published on R on The Data Sandbox, 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. Web scraping has become an incredibly important tool in data science, as an easy way to generate new data. The main advantage is the automation of some pretty repetitive tasks. Web scrapping can also be a good way of keeping up with new data on a ... Read More