Tag: statistics

Feed: R-bloggers. Author: R Views. Greg Wilson is a data scientist and professional educator at RStudio. As a newcomer to R who prefers to read paper rather than pixels, I’ve been working my way through a more-or-less random selection of relevant books over the past few months. Some have discussed topics that I’m already familiar with in the context of R, while others have introduced me to entirely new subjects. This post describes four of them in brief; I hope to follow up with a second post in a few months as I work through the backlog on my desk ... Read More

Feed: R-bloggers. Author: Rsquared Academy Blog. We are pleased to introduce the descriptr package, a set of tools forgenerating descriptive/summary statistics. Installation # Install release version from CRAN install.packages("descriptr") # Install development version from GitHub # install.packages("devtools") devtools::install_github("rsquaredacademy/descriptr") Shiny App descriptr includes a shiny app which can be launched using ds_launch_shiny_app() or try the live version here. Read on to learn more about the features of descriptr, or see thedescriptr website fordetailed documentation on using the package. Data We have modified the mtcars data to create a new data set mtcarz. The onlydifference between the two data sets is related ... Read More

Feed: R-bloggers. Author: R on Gianluca Baio. As I posted recently, I’m involved in a couple of events, later this summer: our annual Summer School and the new(er) tradition of the R for HTA workshop. I have to say that I’m very happy about how things are proceeding for both of them. The summer school has been first advertise a few months back (I’ve posted on the blog, but we’ve also tried to reach other relevant mailing lists and groups, such as the HTA agencies in the EUnetHTA Network). And the dancefloor is quickly filling — there’s been a surge ... Read More

Feed: R-bloggers. Author: free range statistics - R. There was a flurry of activity in the last couple of days on Twitter and the blogosphere, most notably Thomas Lumley’s excellent Stats Chat, relating to whether there is a pro-government bias in surveys of New Zealand voting intention in the summer. As the analysis I’ve seen used my nzelect R package, this motivated me to update it for recent polls. The nzelect update nzelect hasn’t been updated on CRAN for some time, because about a year ago I made some major changes to the data model for the historical election results ... Read More

Feed: Planet MySQL; Author: MySQL Performance Blog; PREVIOUS POST Percona Monitoring and Management (PMM) is a free and open-source platform for managing and monitoring MySQL®, MongoDB®, and PostgreSQL performance. You can run PMM in your own environment for maximum security and reliability. It provides thorough time-based analysis for MySQL®, MongoDB®, and PostgreSQL® servers to ensure that your data works as efficiently as possible. In this release, we are introducing support for detection of our upcoming PMM 2.0 release in order to avoid potential version conflicts in the future, as PMM 1.x will not be compatible with PMM 2.x. Another improvement in ... Read More

Feed: R-bloggers. Author: John Mount. To make getting started with rquery (an advanced query generator for R) easier we have re-worked the package README for various data-sources (including SparkR!). Here are our current examples: For the MonetDBLite the query diagrammer shows a repeated calculation that we decided was best to leave in. And the RSQLite diagram shows the consequences of replacing window functions with joins. Related To leave a comment for the author, please follow the link and comment on their blog: R – Win-Vector Blog. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: ... Read More

Feed: SAS Blogs. Author: Rick Wicklin. Last year I published a series of blogs posts about how to create a calibration plot in SAS. A calibration plot is a way to assess the goodness of fit for a logistic model. It is a diagnostic graph that enables you to qualitatively compare a model's predicted probability of an event to the empirical probability. I am happy to report that in SAS/STAT 15.1 (SAS 9.4M6), you can create a calibration plot automatically by using the PLOTS=CALIBRATION option on the PROC LOGISTIC statement. Calibration plots for a model of a binary response To ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Capri Granville. This article is a solid introduction to statistical testing, for beginners, as well as a reference for practitioners. It includes numerous examples as well as illustrations and definitions for concepts such as rejecting the null hypothesis, one sample hypothesis testing, P-values, critical values, and Bayesian hypothesis testing. It has references to additional topics, such as  What is Ad Hoc Testing? What is a Rejection Region? What is a Two Tailed Test? How to Decide if a Hypothesis Test is a One Tailed Test or a Two Tailed Test. How to ... Read More

Feed: R-bloggers. Author: xi'an. Here are two nice exercises for a future simulation exam, seen and solved on X validated.The first one is about simulating a Gibbs sampler associated with the joint target exp{-|x|-|y|-a(y-x|} defined over IR² for a≥0 (or possibly a>-1). The conditionals are identical and non-standard, but a simple bound on the conditional density is the corresponding standard double exponential density, which makes for a straightforward accept-reject implementation. However it is also feasible to break the full conditional into three parts, depending on the respective positions of x, y, and 0, and to obtain easily invertible cdfs on ... Read More

Feed: SAS Blogs. Author: Charlie Chase. When it comes to forecasting new product launches, executives say that it's a frustrating, almost futile, effort. The reason? Minimal data, limited analytic capabilities and a general uncertainty surrounding a new product launch. Not to mention the ever-changing marketplace. Nevertheless, companies cannot disregard the need for a new product forecast (NPF), or neglect developing an NPF process. This is especially true during the commercialization stage. New product forecasts drive a variety of multi-functional decisions during pre-launch preparation and product launch, including manufacturing decisions on raw materials procurement, manufacturing schedules, finished goods inventory and planning ... Read More