We will continue our journey with R and data, with a workshop that concentrates on data visualization and descriptive statistics. Steps that we would undertake as we being working with our research data.
The notes and accompanying R code are available here.
The podcast for this workshop is available here. PLease note that you must have a UGuelph account and you must either be on campus or using the UG VPN to view the podcast.
There are so many cool and wonderful things that you can do in the DATA step in SAS, that it’s really hard to showcase a few of them. So, let’s start by reviewing information the SAS DATA Step from the SASsyFridays blog. Then if we have time, let’s start investigating some of the functions we can use in the DATA Step, DIF() and LAG().
If you have any specific questions, please bring them and we can work through them together.
We will continue our journey with SAS and data, with a workshop that concentrates on data visualization and descriptive statistics. Steps that we would undertake as we being working with our research data.
The notes and accompanying SAS code are available here.
The podcast for this workshop is available here. PLease note that you must have a UGuelph account and you must either be on campus or using the UG VPN to view the podcast.
Agricultural Statistics 