A few years ago, I was the CTO and cofounder of a startup in the medical practice management software space. One of the problems we were trying to solve was how medical office visit schedules can ...

Before you can analyze and visualize data, you have to get that data into R. There are various ways to do this, depending on how your data is formatted and where it’s located. Usually, the function ...

R is a free and powerful statistical software package that is capable of advanced statistical analysis. Since R requires the user to write computer code to execute commands, the researcher’s ability ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Pew Research Center releases its survey data publicly as IBM SPSS files with the ...

Before you start analyzing, you might want to take a look at your data object’s structure and a few row entries. If it’s a 2-dimensional table of data stored in an R data frame object with rows and ...

The schematic illustrates the comprehensive pipeline for Mendelian randomization analysis, starting with multi-omics data inputs from GWAS, eQTL, and pQTL studies, sourced from major databases such as ...