Recently a colleague asked if I could use R/statistics to form a dream soccer team from a pool of soccer players, given basic player information like name, club, cost, points.The idea is to form a team with your preferred configuration of number of def...
Recently a colleague asked if I could use R/statistics to form a dream soccer team from a pool of soccer players, given basic player information like name, club, cost, points.The idea is to form a team with your preferred configuration of number of def...
RColorBrewer is an R packages that uses the work from http://colorbrewer2.org/ to help you choose sensible colour schemes for figures in R. For example if you are making a boxplot with eight boxes, what colours would you use, or if you are drawing...
RColorBrewer is an R packages that uses the work from http://colorbrewer2.org/ to help you choose sensible colour schemes for figures in R. For example if you are making a boxplot with eight boxes, what colours would you use, or if you are drawing...
Recently I've been doing a lot of work with predictive models using logistic regression. Logistic regression is great for determing probable outcomes of a independent binary target variable. R is a great tool for accomplishing this task.&nb...
Recently I've been doing a lot of work with predictive models using logistic regression. Logistic regression is great for determing probable outcomes of a independent binary target variable. R is a great tool for accomplishing this task.&nb...
I'll be hosting a webinar tomorrow (Wednesday) aimed at R users who want to know more about how Revolution R Enterprise extends open source R for big data, Web services, multi-core processing, debugging and more. For R users at schools and universities, I'll also explain how you can download and use Revolution R Enterprise free of charge. The full...
I'll be hosting a webinar tomorrow (Wednesday) aimed at R users who want to know more about how Revolution R Enterprise extends open source R for big data, Web services, multi-core processing, debugging and more. For R users at schools and universities, I'll also explain how you can download and use Revolution R Enterprise free of charge. The full...
I was recently reading a bit about logistic regression in a book on hierarchical/multilevel modeling when I first learned about the "divide by 4 rule" for quickly interpreting coefficients in a logistic regression model in terms of the predicted probabilities of the outcome. The idea is pretty simple. The logistic curve (predicted probabilities) is steepest at the center where...
In examples 8.15 and 8.16 we considered Firth logistic regression and exact logistic regression as ways around the problem of separation, often encountered in logistic regression. (Re-cap: Separation happens when all the observations in a category sha...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
