A new release 0.2.14 of RInside is now on CRAN and in Debian. RInside provides a set of convenience classes which facilitate embedding of R inside of C++ applications and programs, using the classes and functions provided by Rcpp. It has been nearly two years since the last release, and a ... [Read more...]

I tried to reproduce the FiveThirtyEight age estimator with Hungarian data. The methodology is quite the same. Unfortunately there is no as accurate database as the US version use. In […] [Read more...]

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We will mention the steps to create your own R package using RStudio and we will provide the link to download the complete MIT guide:"Instructions for Creating Your Own R Package", In Song kim, Phil Martin, Nina McMurry. February 23, 2016 .1. Start by ... [Read more...]

Shiny Application Layouts – Navbar Page Features In the fourth part of our series we will see some of the most important features that a Navbar page provides in order to enhance the appearance of our shiny application. We will use the “Cars” app which we built in Shiny Application Layouts-Navbar ... [Read more...]

The US Census Bureau released a new build 1.1.39 of their X-13ARIMA-SEATS program, released as binary and source. So Christoph and went to work and updated our x13binary package on CRAN. The x13binary package takes the pain out of installing X-13ARIM... [Read more...]

It took me a surprising amount of time to find how to change the tick interval on ggplot2 datetime axes, without manually specifying the date of each position. The solution is surprisingly simple and clear once you know the syntax: scale_x_datetime(date_breaks = "12 hours") This places a break ... [Read more...]

I caught a glimpse of a tweet by @dataandme on Friday: Using R & rvest to explore Malaysian property mkt: "Web Scraping: The Sequel, Propwall.my" https://t.co/daZOOJJfPN #rstats #rvest pic.twitter.com/u6QMhm4M3e— Mara Averick (@dataandme) May 5, 2017 Mara is — without a doubt — the best data ... [Read more...]

A summary note on recent set of #rstats discoveries in estimating AIC scores to better understand a quasipoisson family in GLMS relative to treating data as poisson. Conceptual GLM workflow rules/guidelines Data are best untransformed. Fit better model to data. Select your data structure to match purpose with statistical ... [Read more...]

Motivation for this post In time series modeling you typically run into issues concerning complexity versus utility. What I mean by that is that there may be questions you need the answer to but are afraid of the model complexity that comes along with it. This fear of complexity is ... [Read more...]

Months ago, I passed by R Questions from Stack Overflow published on Kaggle. I was interested in tag pairs in particular, i.e. which tags appear together in R questions, so I worked on this simple kernel. [Read more...]

The reasons someone might attend a conferences differ from person to person so we crowdsourced the top 10 reasons you should attend EARL San Francisco. 1. Learn something new. This is a pretty obvious one and we’ve got an excellent … Continue reading → [Read more...]

The standard ARIMA (autoregressive integrated moving average) model allows to make forecasts based only on the past values of the forecast variable. The model assumes that future values of a variable linearly depend on its past values, as well as on the values of past (stochastic) shocks. The ARIMAX model ... [Read more...]

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Someone asked on Twitter about the characteristics of New Zealand First voters. While some crude conclusions can be drawn from examining votes by location cast and then comparing that with census data, we really need individual level data to answer the... [Read more...]

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