March, 2020 | R-bloggers

Health Economics in R Data Hack

March 21, 2020 | Nathan Green

On January 21st – 22nd 2020 at Queen’s University Belfast, we hosted the second health economics in R event – a workshop/hackathon/data dive mash-up. (Read about the first one here). Generally, day one was aimed more at people new to health economics and R. Day two was aim more at ...

[Read more...]

Covid 19 Tracking

March 21, 2020 | R on kieranhealy.org

Get Your Epidemiology from Epidemiologists The COVID-19 pandemic continues to rage. I’m strongly committed to what should be the uncontroversial view that we should listen to the recommendations of those institutions and individuals with strong expertise in the relevant fields of Public Health, Epidemiology, Disease Control, and Infection Modeling. ... [Read more...]

‘mustashe’

March 21, 2020 | Posts | Joshua Cook

The purpose of the ‘mustashe’ R package is to save objects that result from some computation, then load the object from file the next time the computation is performed. In other words, the first time a chunk of code is evaluated, the output can be stashed for the next time ... [Read more...]

‘mustashe’

March 21, 2020 | Posts | Joshua Cook

The purpose of the ‘mustashe’ R package is to save objects that result from some computation, then load the object from file the next time the computation is performed. In other words, the first time a chunk of code is evaluated, the output can be stashed for the next time ... [Read more...]

Setting up R with Visual Studio Code quickly and easily with the languageserversetup package

March 21, 2020 | Jozef's Rblog

Introduction Over the past years, R has been gaining popularity, bringing to life new tools to with ith it. Thanks to the amazing work by contributors implementing the Language Server Protocol for R and writing Visual Studio Code Extensions for R, the most popular development environment amongst developers across the ... [Read more...]

Working with Statistics Canada Data in R, Part 5: Retrieving Census Data

March 20, 2020 | Data Enthusiast's Blog

Back to Working with Statistics Canada Data in R, Part 4. Introduction Searching for Data Find Census Datasets Find Census Regions Find Census Vectors Retrieve Census Data Annex: Notes and Definitions Introduction Now that we are ready to start working with Canadian Census data, let’s first briefly address the question ...

[Read more...]

Working with Statistics Canada Data in R, Part 5: Retrieving Census Data

March 20, 2020 | Petr Baranovskiy

A detailed tutorial on using R to retrieve, and work with Canadian Census data.

[Read more...]

Google Big Query with R

March 20, 2020 | Tim M. Schendzielorz

Lightning fast database querying with the R API.SourceWhat is Google Big Query?Big Query is a highly performant cloud data storage service which started in 2011. You can manage it inside the Google Cloud Console and query the storage with standard SQ...

[Read more...]

Introducing bwsTools: A Package for Case 1 Best-Worst Scaling (MaxDiff) Designs

March 20, 2020 | Mark White

Case 1 best-worst scaling (also known as MaxDiff) designs involve presenting respondents with a number of items and asking them to pick which is “best” and “worst” of the set. More generally, the respondent is asked which items have the most an... [Read more...]

Impact of a country’s age breakdown on COVID-19 case fatality rate by @ellis2013nz

March 20, 2020 | free range statistics - R

Italy is routinely and correctly described as particularly vulnerable to COVID-19 because of its older age profile. I set out to understand for myself how important this factor is. What would happen if the case fatality rates observed in Italy were app... [Read more...]

How to standardize group colors in data visualizations in R

March 20, 2020 | Paul van der Laken

One best practice in visualization is to make your color scheme consistent across figures. For instance, if you’re making multiple plots of the dataset — say a group of 5 companies — you want to have each company have the same, consistent coloring across all these plots. R has some great data ...

[Read more...]

Modeling Pandemics (3)

March 20, 2020 | arthur charpentier

In Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention, a more complex model than the one we’ve seen yesterday was considered (and is called the SEIR model). Consider a population of size , and assume that is the number of susceptible, the number of exposed, the number ...

[Read more...]

Domestic data science – energy use

March 20, 2020 | mikerspencer

Want to see how you can use data science to reduce your energy bills?

[Read more...]

Modeling pandemics (2)

March 20, 2020 | arthur charpentier

When introducing the SIR model, in our initial post, we got an ordinary differential equation, but we did not really discuss stability, and periodicity. It has to do with the Jacobian matrix of the system. But first of all, we had three equations for three function, but actuallyso it means ...

[Read more...]

3 Free Resources to Learn R – Now Open

March 19, 2020 | Business Science

The coronavirus (COVID-19) is changing our living and working lives. Social distancing is the new norm for many, and each country is dealing with this situation differently. But, we are all in this together and we will get through this together. I wan...

[Read more...]

Modeling pandemics (1)

March 19, 2020 | arthur charpentier

The most popular model to model epidemics is the so-called SIR model – or Kermack-McKendrick. Consider a population of size , and assume that is the number of susceptible, the number of infectious, and for the number recovered (or immune) individuals, so that which implies that . In order to be more realistic, ...

[Read more...]

Apply for the Google Summer of Code and Help Us Improving The R Code Optimizer

March 19, 2020 | Pachá

Are you a BSc, MSc or PhD student, and this summer (winter down south) you would like to contribute to open-source while earning some cash? Then you will be interested to know that with @CancuCS this year we are going to mentor for the Google Summer... [Read more...]

Rebalancing history

March 19, 2020 | R on OSM

Our last post on rebalancing struck an equivocal note. We ran a thousand simulations using historical averages across different rebalancing regimes to test whether rebalancing produced better absolute or risk-adjusted returns. The results suggested ...

[Read more...]

Apply for the Google Summer of Code and Help Us Improving The R Code Optimizer

March 19, 2020 | Pachá

Are you a BSc, MSc or PhD student, and this summer (winter down south) you would like to contribute to open-source while earning some cash? Then you will be interested to know that with @CancuCS this year we are going to mentor for the Google Summer of... [Read more...]

The significance of population size, year, and per cent women on the education level in Sweden

March 19, 2020 | n n R Analystatistics Swedenn

In twelve posts I have analysed how different factors are related to salaries in Sweden with data from Statistics Sweden. In this post, I will analyse a new dataset from Statistics Sweden, population by region, age, level of education, sex and year. Not knowing exactly what to find I will ... [Read more...]

R-bloggers

R news and tutorials contributed by hundreds of R bloggers

March 2020

Health Economics in R Data Hack

Covid 19 Tracking

‘mustashe’

‘mustashe’

Setting up R with Visual Studio Code quickly and easily with the languageserversetup package

Working with Statistics Canada Data in R, Part 5: Retrieving Census Data

Working with Statistics Canada Data in R, Part 5: Retrieving Census Data

Google Big Query with R

Introducing bwsTools: A Package for Case 1 Best-Worst Scaling (MaxDiff) Designs

Impact of a country’s age breakdown on COVID-19 case fatality rate by @ellis2013nz

How to standardize group colors in data visualizations in R

Modeling Pandemics (3)

Domestic data science – energy use

Modeling pandemics (2)

3 Free Resources to Learn R – Now Open

Modeling pandemics (1)

Apply for the Google Summer of Code and Help Us Improving The R Code Optimizer

Rebalancing history

Apply for the Google Summer of Code and Help Us Improving The R Code Optimizer

The significance of population size, year, and per cent women on the education level in Sweden

March 2020

Never miss an update! Subscribe to R-bloggers to receive e-mails with the latest R posts. (You will not see this message again.)

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)