Tag: statistics

Feed: R-bloggers. Author: quintuitive. When I wrote the original post, I wasn’t planning on writing a follow-up. Certainly not the week after. But what a difference a week can make in a dynamic system like the US stock market. While re-running the computations testing the latest version of RStudio, I noticed something surprising – President Trump’s rally has advanced to 2nd place! A mere week ago, that seemed unthinkable. Something abnormal must have happened. Two things happened. First, the current stock market advanced another 2%. Nothing to brag about just another positive vote of confidence in the economy’s direction. The ... Read More

Feed: R-bloggers. Author: Bidyut Ghosh. In the last two posts, I’ve focused purely on statistical topics – one-way ANOVA and dealing with multicollinearity in R. In this post, I’ll deviate from the pure statistical topics and will try to highlight some aspects of qualitative research. More specifically, I’ll show you the procedure of analyzing text mining and visualizing the text analysis using word cloud.Some of typical usage of the text mining are mentioned below:• Marketing managers often use the text mining approach to study the needs and complaints of their customers;• Politicians and journalists also use effectively the text mining ... Read More

Feed: R-bloggers. Author: Mauricio Vargas S. 帕夏. On a previous post I explained how to install R on Ubuntu 16.04 without further complications. Now here are the equivalent steps on Ubuntu 17.10. The presented script also installs Java and common packages as I wrote this for a fresh install. Administrator (sudo) access to be able to install packages. This script will install everything. 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) statistics ... Read More

Feed: R-bloggers. Author: Economics and R - R posts. How much pollution reduction do we get from a MWh electricity produced by wind or solar power? In principle, this corresponds to the avoided pollution of a fossil fuel plant that reduces its output due to the higher production of renewable electricity. Which fossil fuel plant reduces its output and to which degree is not straightforward, however. It depends on the flexibility of the power plants, the predictability of the wind supply and possible network congestion. Kevin Novan studies the pollution reduction of wind energy in his very interesting article “Valuing ... Read More

Feed: Hadoop Dev. Author: Nailah Bissoon. In the event that a Big SQL cluster goes down due to disaster, applications can switch to a secondary cluster where the meta-data and distributed filesystem data is replicated. The IBM Big SQL and Big Replicate solution automates DR for both meta-data and distributed filesystem data. This solution replicates the data files to the DR cluster as well as the Big SQL and Hive meta-data. This blog outlines the steps to setup a Big SQL DR cluster without Big Replicate. Other components such as Hive, HDFS and HBase also need to be considered for ... Read More

Feed: R-bloggers. Author: R – Bio7 Website. 20.10.2017 Beside a massive of amount of R packages and ImageJ plugins Bio7 can be extended with Eclipse plugins useful for data science and programming. Some of them could also be very useful for R related developments (e.g., to develop R packages or distribute Shiny apps). Installation of Eclipse Plugins One  way to install Eclipse plugins is by using the Update Manager in the help menu (Help->Install New Software). Thus the first step to install a plugin is to open the Update Manager and selecting the category “Eclipse Repository – http://download.eclipse.org/releases/neon” (see screenshot ... Read More

Feed: All - O'Reilly Media. Author: Scott Hurff. Blueprint sketch (source: PublicDomainPictures.net) This is an excerpt from "Designing Products People Love"—read the full book on Safari. “What if you launch your product...and nobody buys it?” These were the words that compelled me, as a would-be graduate of the 30x500 bootcamp (a class that teaches people how to create and sell their first products), to become a student. It was a moment that would change my life. Less than six months after graduating from the course, I created two products from scratch that made more money with fewer customers than the ... Read More

Feed: R-bloggers. Author: Michael Griebe. Week76 Gold Mining and Fantasy Football Projection Roundup now available. Go get that free agent gold! The post Gold-Mining – Week 7 (2017) appeared first on Fantasy Football Analytics. 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) statistics (regression, PCA, time series, trading) and more... If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook ... Read More

Feed: R-bloggers. Author: Gavin L. Simpson. One of the specialist smoother types in the mgcv package is the Markov Random Field (MFR) smooth. This smoother essentially allows you to model spatial data with an intrinsic Gaussian Markov random field (GMRF). GRMFs are often used for spatial data measured over discrete spatial regions. MRFs are quite flexible as you can think about them as representing an undirected graph whose nodes are your samples and the connections between the nodes are specified via a neighbourhood structure. I’ve become interested in using these MRF smooths to include information about relationships between species. However, ... Read More

Feed: R-bloggers. Author: Branden Dunbar. At Plotly, we are commonly asked about thematic maps — especially county-level choropleth maps. This style of map provides a visual illustration of variation across a geographic area. Some pertinent uses are population density, economic measurements, crime statistics, and election results. With Plotly, there are multiple ways to bring county-level choropleths to life. For example, using ggplotly or native plot_ly or plot_mapbox . . . For now, we will look at how to create the US electoral map using the ggplotly method. For more information concerning the plot_ly and plot_mapbox examples, checkout our R documentation library.   ... Read More