In our role as statisticians, we see many identical questions from researchers on how to perform common statistical methods. Rather than repeatedly give the same answers, we plan to post the current recommended practice for each type of problem, and update as needed. Our focus will be on R and SAS software, widely used and what we have the most experience with. Like most statistical consultants, we are educators, hoping to teach you how to think about and do statistics.
Statistics is a broad topic, reaching into almost every area of science. Since the different sciences have different types of data, different sources of variation, statistical methodology can be area specific. The questions we see mainly come from agriculture, so there will be a bias towards methods most widely used there. We will strive to place sufficient key words in the posts to enable searches to uncover appropriate material.
Time permitting, we will post on topics suggested by you, do reviews of the literature, summarize internet resources, etc. Nothing like free statistics training, but this blog is clearly not intended for quick responses. For that try
https://www.talkstats.com/
https://communities.sas.com/
https://stats.stackexchange.com/
to name popular statistics, SAS and R forums, respectively.
Statistics is a broad topic, reaching into almost every area of science. Since the different sciences have different types of data, different sources of variation, statistical methodology can be area specific. The questions we see mainly come from agriculture, so there will be a bias towards methods most widely used there. We will strive to place sufficient key words in the posts to enable searches to uncover appropriate material.
Time permitting, we will post on topics suggested by you, do reviews of the literature, summarize internet resources, etc. Nothing like free statistics training, but this blog is clearly not intended for quick responses. For that try
https://www.talkstats.com/
https://communities.sas.com/
https://stats.stackexchange.com/
to name popular statistics, SAS and R forums, respectively.
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