This is a guest post from Kathleen Bostic (Spelman College) and Michel Ruiz-Fuentes (Smith College), participants in the INSPIRE U2 summer site directed by Dr. A. Nayena Blankson. The INSPIRE U2 Program provides a learning pathway for underrepresented...

Automatic univariate time series forecasting with `ahead::dynrmf` and Ridge regression.

This is the latest in my series of screencasts demonstrating how to use the tidymodels packages. If you are a tidymodels user, either just starting out or someone who has used the packages a lot, we are interested in your feedback on our priorities ...

Prompted by a guest visit to Mine Çetinkaya-Rundel’s Advanced Data Visualization class here at Duke, I’ve updated my US and state excess death graphs. Earlier posts (like this one from February) will update as well. I am interested in all-cause mortality in the United States for 2020. I look ...

Descriptive Statistics in R, You’ll learn about descriptive statistics in this tutorial, which is one strategy you might employ in exploratory data analysis. Before you invest time constructing intricate models, it’s necessary to first ...

Descriptive Statistics in R, You’ll learn about descriptive statistics in this tutorial, which is one strategy you might employ in exploratory data analysis. Before you invest time constructing intricate models, it’s necessary to first... The post Descriptive Statistics in R appeared first on finnstats.

Screenshot of a Tableau dashboard with a shinytableau extension At RStudio, we strive to help you combine the power of code-first data science with the other tools in your toolkit. Many organizations rely on Tableau for creating data dashboards, but ...

We’ll be giving a two-hour tutorial on NIMBLE, sponsored by the environmental Bayes (enviBayes) section of ISBA (The International Society for Bayesian Analysis), on Thursday November 18, from 11 am to 1 pm US Eastern time. NIMBLE (r-nimble.org) is a system for fitting and programming with hierarchical models in R that ...

Linear mixed-effects models (LMM) offer a consistent way of performing regression and analysis of variance tests which allows accounting for non-independence in the data. Over the past decades, LMMs have subsumed most of the General Linear Model, with a stead increase in popularity (Meteyard & Davies, 2020). Since their conception, LMMs have ...

Data Format in R, You’ll learn about data formats and why reformatting data can help you enhance your data analysis in this tutorial. Data is typically acquired from a variety of sources and by a variety of persons, and it is kept in a variet...

Data Format in R, You’ll learn about data formats and why reformatting data can help you enhance your data analysis in this tutorial. Data is typically acquired from a variety of sources and by... The post How to do Data Format in R appeared first on finnstats.

Our Covid19 app provides global view of the pandemic, but how effective is the vaccination in Switzerland? Since May 2020 we are showing on our gallery a dashboard with a global view of the COVID-19 Pandemic, including a split by continent and count...

I’m SUPER EXCITED to show fellow time-series enthusiasts a new way that we can scale time series analysis using an amazing technology called Spark! Without Spark, large-scale forecasting projects of 10,000 time series can take days to run because of long-running for-loops and the need to test many models on ...

This post by Emily Riederer is the winning entry in our recent Call for Documentation contest. Emily is a Senior Analytics Manager at Capital One where she leads a team building internal analytical tools including R packages, datamarts, and Shiny apps. Outside of work, Emily can be found sharing more ...