Tag: regression

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: 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: 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: R-bloggers. Author: John Mount. Recently Hadley Wickham prescribed pronouncing the magrittr pipe as “then” and using right-assignment as follows: I am not sure if it is a good or bad idea. But let’s play with it a bit, and perhaps readers can submit their experience and opinions in the comments section. Right assignment Right assignment is a bit of an oddity in programming languages. Offhand I can think of a few programming languages that use it: COBOL, TI-Basic, and Forth (due to its value-stack notation). I have written a bit about right assignment in R in the past. And ... Read More

Feed: R-bloggers. Author: Rstats on pi: predict/infer. While developing your R package, you will want to make sure the code it contains is as clean as possible and that your package build and testing times are as efficient as you can make them. There are a number of tricks and tools at your disposal to accomplish these aims. This post, the third in a series that covers R package development, will introduce a few of those and demonstrate how they can improve your package development process. We’ll continue with the chifishr example repo we created in part 1 and part ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Here we describe a simple methodology to produce predictive scores that are consistent over time and compatible across various clients, to allow for meaningful comparisons and consistency in actions resulting from these scores, such as offering a loan. Scores are used in various contexts, such as web page rankings in search engines, credit score, risk score attached to loans or credit card transactions, the risk that someone might become a terrorist, and more. Typically a score is a function of a probability attached to some particular future event. They ... Read More

Feed: R-bloggers. Author: Stanislas Morbieu. The R package gganimate enables to animate plots. It is particularly interestingto visualize the intermediate results of an algorithm, to see how it converges towardsthe final results. The following illustrates this with K-means clustering. The outline of this post is as follows: We will first generate some artificial data to work with.This allows to visualize the behavior of the algorithm. The k-means criterion and an algorithm to optimize itis then presented and implemented in R in order to store the intermediate results in a dataframe. Last, the content of the dataframeis ploted dynamically with gganimate ... Read More