In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

Using a program like R or SAS becomes the best option in these cases. The key to successful coding in R (and SAS) means being comfortable with reading the help files. So for this talk we are going to ...

From getting subsets of your data to pulling basic stats from your data frame, here's what you need to know.

Random factor analysis is a statistical technique to decipher whether outlying data is caused by an underlying trend or just simply a random event.

The purpose of the Journal of Computational and Graphical Statistics is to improve and extend the use of computational and graphical methods in statistics and data analysis. Established in 1992, this ...

Longitudinal panel data examples are used to illustrate estimation methods for individual growth curve models. These examples constitute one of the basic multilevel analysis settings, and they are ...

We will also go through some data analysis examples of GLMs in popular software such as R and SAS (possibly JMP if time allows) and explain how we interpret some of the output from each software.

What Are Data Analysis Skills? Quantitative and Qualitative Examples Combining quantitative and qualitative data skills allows you to make informed, balanced decisions by understanding both the ...