Tag Archives: r software

Convert CSV to RDS When Using R for Easier Data Handling

If you want to use R for a project and the source CSV is very big, it can improve input/output efficiency to convert the file to an RDS.

Convert CSV to RDS is what you want to do if you are working with big data files in R GUI and want to improve efficiency. Read my blog post for an explanation and video demonstrations of this process!

GPower Case Example Shows How to Calculate and Document Sample Size

This case example shows a use case where we estimated sample size in GPower under different conditions.

GPower case example shows a use-case where we needed to select an outcome measure for our study, then do a power calculation for sample size required under different outcome effect size scenarios. My blog post shows what I did, and how I documented/curated the results.

Querying the GHDx Database: Demonstration and Review of Application

Many data scientists interested in health are looking to query the Global Burden of Disease database, also known as the GHDx

Querying the GHDx database is challenging because of its difficult user interface, but mastering it will allow you to access country-level health data for comparisons! See my demonstration!

Native Formats in SAS and R for Data Are Different: Here’s How!

Why use particular data formats for different programming languages in statistics? Because the programs can then process the data faster and with more accuracy.

Native formats in SAS and R of data objects have different qualities – and there are reasons behind these differences. Learn about them in this blog post!

SAS-R Integration Example: Transform in R, Analyze in SAS!

You can use SAS and R together in one project. I show you how to develop an analytic dataset in R and put it in SAS ODA for analysis.

Looking for a SAS-R integration example that uses the best of both worlds? I show you a use-case where I was in a hurry, and did transformation in R with the analysis in SAS!

Announcing the Publication of my New SAS Book on Data Warehousing

Learn how to do data warehousing in SAS. You can purchase this book and use the code in it to help you.

SAS is known for big data and data warehousing, but how do you actually design and build a SAS data warehouse or data lake? What datasets do you include? How do you transform them? How do you serve warehouse users? How do you manage your developers? This book has your answers!

Announcing my New(-ish) Data Curation Course on LinkedIn Learning!

Data curation is an important skill to learn if you want to manage a data science team.

Curation files are especially helpful for communicating about data on teams. Learn more about what you’ll learn when you take my online LinkedIn Learning data curation course!

Doing Surveys? Try my R Likert Plot Data Hack!

The Likert package in R can visualize categorical data.

I love the Likert package in R, and use it often to visualize data. The problem is that sometimes, I have sparse data, and this can cause problems with the package. This blog post shows you a workaround, and also, a way to format the final plot that I think looks really great!

I Used the R Package EpiCurve to Make an Epidemiologic Curve. Here’s How It Turned Out.

Epidemiologic Curve of 2015 Middle East Respiratory Virus Outbreak Using R EpiCurve Package

With all this talk about “flattening the curve” of the coronavirus, I thought I would get into the weeds about what curve we are talking about when we say that. We are talking about what’s called an epidemiologic curve, or epicurve for short. And to demonstrate what an epicurve is and what it means, I […]

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