Tag: regression

Feed: R-bloggers. Author: Lorenz Walthert. I am currently experiencing problems with getting my posts in full length onr-bloggers. You can continue here withreading in case only the first paragraph is rendered. One cool thing that happens if you work resonates in the community is that yousee other people using it. In this blog post I am going to address a typicalquestion people have when they want to use a source code formatter – inparticular styler: I don’t like rule xyz of the tidyverse style guide, which is the defaultstyle guide implemented in styler. How can I tell styler not to ... Read More

Feed: R-bloggers. Author: R on Gianluca Baio. I was trying to find an apt image to accompany this post, but googling “sleek and shiny” mostly brought up images of women with ridiculously, well, sleek and shiny hair (and magical products to achieve just that), which has nothing to do with what I want to talk about here (not that this has ever stopped me including pics that have nothing to do with the actual post, of course…). Anyway, Andrea has been doing lots of work and has suggested an upgrade to the BCEAweb webapp, mainly involving a move towards Shiny ... Read More

Feed: R-bloggers. Author: xi'an. “We demonstrate HMC’s sensitivity to these parameters by sampling from a bivariate Gaussian with correlation coefficient 0.99. We consider three settings (ε,L) = {(0.16; 40); (0.16; 50); (0.15; 50)}” Ziyu Wang, Shakir Mohamed, and Nando De Freitas. 2013 In an experiment with my PhD student Changye Wu (who wrote all R codes used below), we looked back at a strange feature in an 2013 ICML paper by Wang, Mohamed, and De Freitas. Namely, a rather poor performance of an Hamiltonian Monte Carlo (leapfrog) algorithm on a two-dimensional strongly correlated Gaussian target, for very specific values of ... Read More

Feed: R-bloggers. Author: filip Schouwenaars. The problem pkgdown is an R package that can create a beautifully looking website for your own R package. Built and maintained by Hadley Wickham and his gang of prolific contributors, this package can parse the documentation files and vignettes for your package and builds a website from them with a single command: build_site(). This is what such a pkgdown-generated website looks like in action. The html files that pkgdown generated are stored in a docs folder. If your source code is hosted on GitHub, you just have to commit this folder to GitHub, navigate ... Read More

Feed: R-bloggers. Author: nsaunders. In summary: The code that generated the report (which I’ve used heavily and written about before) is at Github too. A few changes required compared with previous reports, due to changes in the rtweet package, and a weird issue with kable tables breaking markdown headers. I love that the most popular media attachment is a screenshot of a Github repo. Related R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) ... Read More

Feed: R-bloggers. Author: Carmen Chan. These include both global methods, which involve fitting a regression over the whole time series; and more flexible local methods, where we relax the constraint by a single parametric function. Further details about how to construct estimated smooths in R can be found here. 1. Global trends over time i. Linear One of the simplest methods to identify trends is to fit the time series to the linear regression model. ii. Quadratic For more flexibility, we can also fit the time series to a quadratic expression — that is, we use linear regression with the expanded ... Read More

Feed: R-bloggers. Author: Thinking inside the box. A new maintenance release, now at version 0.9.11, of the RcppClassic package arrived earlier today on CRAN. This package provides a maintained version of the otherwise deprecated initial Rcpp API which no new projects should use as the normal Rcpp API is so much better. Per another request from CRAN, we updated the source code in four places to no longer use dynamic exceptions specification. This is something C++11 deprecated, and g++-7 and above now complain about each use. No other changes were made. CRANberries also reports the changes relative to the previous ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kateryna Lytvynova. The best trained soldiers can’t fulfill their mission empty-handed. Data scientists have their own weapons — machine learning (ML) software. There is already a cornucopia of articles listing reliable machine learning tools with in-depth descriptions of their functionality. Our goal, however, was to get the feedback of industry experts. And that’s why we interviewed data science practitioners — gurus, really —regarding the useful tools they choose for theirprojects. The specialists we contacted have various fields of expertise and are working in such companies as Facebook and Samsung. Some of them represent AI startups ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. The insurance industry is regarded as one of the most competitive and less predictable business spheres. It is instantly related to risk. Therefore, it has always been dependent on statistics. Nowadays, data science has changed this dependence forever. Now, insurance companies have a wider range of information sources for the relevant risk assessment. Big Data technologies are applied to predict risks and claims, to monitor and to analyze them in order to develop effective strategies for customers attraction and retention. Undoubtedly, the insurance companies benefit from data science application ... Read More

Feed: R-bloggers. Author: Kamal Kumar. Hope you liked the Part 1 and Part 2 of this Series. In this Part 3, we will go through the tools used during the analyze phase of Six Sigma DMAIC cycle. In this phase, available data is used to identify the key process inputs and their relation to the output. We will go through the following tools: Charts in R Hypothesis Testing in R Charts in R In Six Sigma projects, Charts plays a very important role. They are used to support the interpretation of data, as a graphical representation of data provides a ... Read More