8 posts with this tag
Hierarchical clustering functionality in R is great, right? Between dist and vegdist it is possible to base your clustering on almost any method you want, from cosine to Canberra. However, what if you do want to use a different or custom method, and …
Choosing the right linear regression model for your data can be an overwhelming venture, especially when you have a large number of available predictors. Luckily R has a wide array of in-built and user-written tools to make this process easier. In …
Coming from a psychology background, I have a soft spot for multiple linear regression. This method is a workhorse in statistics and machine learning, being flexible, powerful and easily interpretable. An issue that people new to multiple regression …
In the last blog post I described how you could test whether the difference between two groups was statistically significant using an independent-samples t-test. (I will rely heavily on that blog post in this one, so I encourage you to at least skim …
In some of my previous posts, I asked you to imagine that we work for a retail website that sells children's toys. In the past, they've asked us to estimate the mean number of page views per day (see here and here for my posts discussing this …
