Looking at cash flows

We continue our series of posts looking into accounting and actuarial applications by showing how Sankey diagrams can be used to visualize cash flow information and hopefully improve communication with clients and decision makers who are not financial professionals.

Read more

Share Comments · · · · · ·

July 2022: "Top 40" New CRAN Packages

Ninety-four new packages stuck to CRAN in July. Here are my “Top 40” selections in thirteen categories: Climate Modeling, Computational Methods, Data, Ecology, Genomics, Machine Learning, Mathematics, Medicine, Networks, Proteomics, Statistics, Utilities, and Visualization.

Read more

Share Comments · · ·

June 2022: "Top 40" New CRAN Packages

One hundred eighty-nine new packages made it to CRAN in June. Here are my “Top 40” selections in eleven categories: Computational Methods, Data, Ecology, Genomics, Machine Learning, Mathematics, Medicine, Statistics, Time Series, Utilities, and Visualizations.

Read more

Share Comments · · ·

Shiny showcase at rstudio::conf(2022)

Beginning with the invitation-only 2016 Shiny Developer Conference, Shiny has played a prominent part in all RStudio conferences, and rstudio::conf(2022) is no exception. Two workshops and eighteen talks showcase Shiny’s multiple, ever-increasing capabilities. What started out as a way to introduce R’s interactive statistical computations to the web has grown into a production-grade tool that supports serious data science workflows and facilitates the communication of data-generated insights throughout large organizations in both industry and government.

Read more

Share Comments · · · ·

R is for actuaRies

Actuarial data science lies at the intersection of math and business studies, combining statistical knowledge and methods from insurance and finance areas. Compared to data scientists, actuaries focus more on finance and business knowledge, while still collecting and analyzing data. The profession is in high demand, and according to the Bureau of Labor Statistics (BLS), it is expected that actuary jobs will a enjoy 24% increase from 2020-30. This is much faster than the average for all occupations.

Read more

Share Comments · · · · ·

May 2022: "Top 40" New CRAN Packages

One hundred seventy-nine new packages made it to CRAN in May. Here are my “Top 40” picks in twelve categories: Computational Methods, Data, Ecology, Epidemiology, Finance, Machine Learning, Networks, Science, Statistics, Time Series, Utilities, and Visualization.

Read more

Share Comments · · · ·

Frank's R Workflow

Frank Harrell`s new eBook, R Workflow, which aims to: “to foster best practices in reproducible data documentation and manipulation, statistical analysis, graphics, and reporting” is an ambitious document that is notable on multiple levels.

Read more

Share Comments · · · · · · ·

April: "Top 40" New CRAN Packages

One hundred seventeen new packages stuck to CRAN in April. Here are my “Top 40” selections in twelve categories: Computational Methods, Data, Ecology, Finance, Machine Learning, Mathematics, Medicine, Networks, Statistics, Time Series, Utilities, and Visualization.

Read more

Share Comments · · · ·

Calling R From Python With rpy2

The rpy2 package is an interface that allows you to run R in Python processes. You can use the best of one language while working in the other.

Read more

Share Comments

Skimming #rstats on Twitter

Even when filtering by the relatively sober #rstats hashtag, I find twitter to be the stream of consciousness of an undisciplined collective mind: disjoint and ephemeral. Nevertheless, on any given day some useful R resources float by, and it is frequently the case that interesting items disappear downstream before I can record them. Here are a few I did manage to fish out recently.

Read more

Share Comments · · ·