April, 2019 | R-bloggers

tsbox 0.1: class-agnostic time series

April 14, 2019 | usefulr

The R ecosystem knows a vast number of time series classes: ts, xts, zoo, tsibble, tibbletime or timeSeries. The plethora of standards causes confusion. As different packages rely on different classes, it is hard to use them in the same analysis. tsbox provides a set of tools that make it ...

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MailR SMTP Setup (Gmail, Outlook, Yahoo) | STARTTLS

April 13, 2019 | Kenith Grey

The mailR package allows you to easily send e-mails with R, but you need the right mailR SMTP settings. Getting the SMTP settings just right to establish a connection to e-mail hosts like Gmail, Outlook, or Yahoo can be challenging. This is especially true when there are some settings you ... [Read more...]

Batch Processing of Monotonic Binning

April 13, 2019 | statcompute

In my GitHub repository (https://github.com/statcompute/MonotonicBinning), multiple R functions have been developed to implement the monotonic binning by using either iterative discretization or isotonic regression. With these functions, we can run the monotonic binning for one independent variable at a time. However, in a real-world production environment, ... [Read more...]

Download and Email reports in R Shiny app

April 13, 2019 | Senthil Thyagarajan

Most of the dashboards / R shiny app are viewed by the people who want to view the underyling data without doing much analysis. While they view the KPI’s , the charts and the tables it would be also an important for them to take the results out of the app ... [Read more...]

Discrete Event Simulation (DES) Metamodeling – Splines with R and Arena

April 13, 2019 | R Blogs by Pedro N. de Lima

Simulation Metamodeling - building and using surrogate models that can approximate results from more complicated simulation models - is an interesting approach to analyze results from complicated, computationally expensive simulation models. Metamodels are useful because they can yield good approximations of the original simulation model response variables using less computational ...

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Introducing graphlayouts with Game of Thrones

April 13, 2019 | schochastics

This post introduces the new R package graphlayouts which is available on CRAN since a few days. We will use network data from the Game of Thrones TV series (seemed timely at the time of writing) to illustrate the core layout algorithms of the package. Most of the algorithms use ... [Read more...]

historical word embeddings & lexical semantic change

April 13, 2019 | Jason Timm

Google n-gram data Nearest-neighbors Procrustes, PCA & visualizing semantic change Detecting semantic change Summary References I have developed a Git Hub guide that demonstrates a simple workflow for sampling Google n-gram data and building historical word embeddings with the aim of investigating lexical semantic change. Here, we build on this workflow, ...

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R as GIS for ecologists

April 13, 2019 | Bruno Silva

Working with spatial data is a key feature in ecological research. Using R to handle this type of data has the great advantage of keeping both variable extraction and modelling in the same environment, instead of recurring to external GIS softwares to compute some variables and then turning to R ...

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How to easily automate R analysis, modeling and development work using CI/CD, with working examples

April 13, 2019 | Jozef's Rblog

Introduction Automating the execution, testing and deployment of R work is a very powerful tool to ensure the reproducibility, quality and overall robustness of the code that we are building, be it for data analysis and modeling purposes, developing R packages or even blogging. Modern tools also provide a free ... [Read more...]

How to easily automate R analysis, modeling and development work using CI/CD, with working examples

April 13, 2019 | Jozef's Rblog

Introduction Automating the execution, testing and deployment of R work is a very powerful tool to ensure the reproducibility, quality and overall robustness of the code that we are building, be it for data analysis and modeling purposes, developing R packages or even blogging. Modern tools also provide a free ... [Read more...]

A follow up note on our web scraping tutorial

April 12, 2019 | Rsquared Academy Blog - Explore Discover Learn

We had published a web scraping tutorial a couple of days back and it had received a good response from the #rstats community. While we thank you for that, we made a mistake in choosing one of the case study as pointed out by @hrbrmstr in this tweet: Whomever runs "... [Read more...]

First Post

April 12, 2019 | Martin Chan

Why start a R blog? Ever since I discovered r-bloggers and had subsequently learnt immensely from the articles contributed by R users all around the world, I’ve wanted to start a R blog myself. Part of the motivation is give back to the open sourc...

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BDA3 Chapter 1 Exercise 9

April 12, 2019 | Brian Callander

BDA3 Chapter 1 Exercise 9 Posted on 13 April, 2019 by Brian Tags: bda chapter 1, solutions, simulation, poisson process Category: bda3 Here’s my solution to exercise 9, chapter 1, of Gelman’s Bayesian Data Analysis (BDA), 3rd edition. There are solutions to some of the exercises on the book’s webpage. \(\DeclareMathOperator{\dbinomial}{Binomial} \DeclareMathOperator{\... [Read more...]

A follow up note on our web scraping tutorial

April 12, 2019 | Rsquared Academy Blog

We had published a web scraping tutorial a couple of days back and it had received a good response from the #rstats community. While we thank you for that, we made a mistake in choosing one of the case study as pointed out by @hrbrmstr in this tweet: Whomever runs "... [Read more...]

BatchGetSymbols is now parallel!

April 12, 2019 | R on msperlin

BatchGetSymbols is my most downloaded package by any count. Computation time, however, has always been an issue. While downloading data for 10 or less stocks is fine, doing it for a large ammount of tickers, say the SP500 composition, gets very boring. I’m glad to report that time is no ... [Read more...]

Big Data: On RDDs, Dataframes,Hive QL with Pyspark and SparkR-Part 3

April 12, 2019 | Tinniam V Ganesh

Some people, when confronted with a problem, think “I know, I’ll use regular expressions.” Now they have two problems. – Jamie Zawinski Some programmers, when confronted with a problem, think “I know, I’ll use floating point arithmetic.” Now they have 1.999999999997 problems. – @tomscott Some people, when confronted with a problem, ...

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R Programmers Earn More than Python Programmers

April 11, 2019 | Michael Toth

At least globally, that is. According to the 2019 Stack Overflow Developer Survey, R users globally reported earning an average of $64k per year, $1k more than the $63k reported by Python developers. In the United States, that situation reverses, with ...

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From Data to Insights: photos and resources

April 11, 2019 | MilanoR

Already nostalgic of our last MilanoR Meetup? Check out some photos, resources and the highlights of the night. The post From Data to Insights: photos and resources appeared first on MilanoR. [Read more...]

Companies Are Demanding Model Interpretability. Here’s How To Do It Right.

April 11, 2019 | Adrian Antico

There are plenty of methods out there for machine learning model interpretability but which is the best one? Find out how to do it right with RemixAutoML.

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The Easiest Way to Create Thresholds And Improve Your Classification Model

April 11, 2019 | Adrian Antico

You’d be surprised at how many data scientists don’t know how to turn their probabilities into class labels. Often times they will just go with 50% as the cutoff without a second thought, regardless of any class imbalances or asymmetric costs in the outcomes.

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R-bloggers

R news and tutorials contributed by hundreds of R bloggers

April 2019

tsbox 0.1: class-agnostic time series

MailR SMTP Setup (Gmail, Outlook, Yahoo) | STARTTLS

Batch Processing of Monotonic Binning

Download and Email reports in R Shiny app

Discrete Event Simulation (DES) Metamodeling – Splines with R and Arena

Introducing graphlayouts with Game of Thrones

historical word embeddings & lexical semantic change

R as GIS for ecologists

How to easily automate R analysis, modeling and development work using CI/CD, with working examples

How to easily automate R analysis, modeling and development work using CI/CD, with working examples

A follow up note on our web scraping tutorial

First Post

BDA3 Chapter 1 Exercise 9

A follow up note on our web scraping tutorial

BatchGetSymbols is now parallel!

Big Data: On RDDs, Dataframes,Hive QL with Pyspark and SparkR-Part 3

R Programmers Earn More than Python Programmers

From Data to Insights: photos and resources

Companies Are Demanding Model Interpretability. Here’s How To Do It Right.

The Easiest Way to Create Thresholds And Improve Your Classification Model

April 2019

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