Author: R Views

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. In this post, I examine the fundamental assumption of independence underlying the basic Independent two-sample t-test for comparing the means of two random samples. In addition to independence, we assume that both samples are draws from normal distributions where the population means and common variance are unknown. I am going to assume ... 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. In a previous post, I described how I was captivated by the virtual landscape imagined by the RStudio education team while looking for resources on the RStudio website. In this post, I’ll take a look at Cheatsheets another amazing resource hiding in plain sight. Apparently, some time ago when I wasn’t paying ... 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. It is not yet clear what lasting impact the Covid-19 pandemic will ultimately have on R conferences. We are still adapting to our inability to attend large events, and trying to make the best of the “silver lining” of virtual events which permit worldwide participation. The following is an attempt to list ... 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 thirty new packages made it to CRAN in January. Here are my “Top 40” selections in ten categories: Data, Finance, Genomics, Machine Learning, Medicine, Science, Statistics, Time Series, Utilities, and Visualization. Data igoR v0.1.1: Provides tools to extract information from the Intergovernmental Organizations (‘IGO’) Database , version 3, provided by ... Read More

Feed: R-bloggers. Author: R Views. Akshit Achara is a medical device engineer and computer science enthusiast based in Bengaluru, Karnataka, India. You can connect with Akshit on LinkedIn. Introduction Constraint programming is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. MiniZinc is a free and open-source constraint modeling language. Constraint satisfaction and discrete optimization problems can be formulated in a high-level modeling language. Models are compiled into an intermediate representation that is understood by a wide range of solvers. MiniZinc itself provides several solvers, for instance ... 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. The fifty-five videos from last month’s rstudio::global conference are now available online. You will find them at the link above arranged in ten categories (Keynotes, Data for Good, Language Interop, Learning, Modeling, Organizational Tooling, Package Dev, Programming, Teaching, and Visualization) that reflect fundamental areas of technical and community infrastructure and R applications ... 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 twenty-three new packages made it to CRAN in December. Here are my “Top 40” selections in nine categories: Computational Methods, Data, Genomics, Machine Learning, Medicine, Science, Statistics, Utilities, and Visualization. Computational Methods FKF.SP v0.1.0: Provides a fast and flexible Kalman filtering implementation utilizing sequential processing, designed for efficient parameter estimation ... 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. Andrea Luciani is a Technical Advisor for the Directorate General for Economics, Statistics and Research at the Bank of Italy, and co-author of the bimets package. Structural Equation Models (SEM), which are common in many economic modeling efforts, require fitting and simulating whole system of equations where each equation may depend on ... 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. Waseem Medhat is a Statistical Programmer and Computational Experimentalist who resides in Alexandria, Egypt This post takes a closer look at the forest plot that was mentioned in a previous post introducing PSI’s Wonderful Wednesdays events. It describes a custom version of a forest plot with additional bands to visualize heterogeneity between ... 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. For almost a year now, the PSI Visualization Special Interest Group (VIS SIG) has been conducting a monthly graduate-level seminar on creating effective statistical visualizations that is open to everyone. Wonderful Wednesdays is a unique collegial event. Every month the SIG publishes a link to a new data set and issues a ... Read More