Articles by Wicked Good Data - r

Clustering Mixed Data Types in R

June 21, 2016 | Wicked Good Data - r

Clustering allows us to better understand how a sample might be comprised of distinct subgroups given a set of variables. While many introductions to cluster analysis typically review a simple application using continuous variables, clustering data of mixed types (e.g., continuous, ordinal, and nominal) is often of interest. The ... [Read more...]

Clustering Mixed Data Types in R

June 21, 2016 | Wicked Good Data - r

Clustering allows us to better understand how a sample might be comprised of distinct subgroups given a set of variables. While many introductions to cluster analysis typically review a simple application using continuous variables, clustering data of ... [Read more...]

Partial Dependence Plots

December 22, 2014 | Wicked Good Data - r

It can be difficult to understand the functional relations between predictors and an outcome when using black box prediction methods like random forests. One way to investigate these relations is with partial dependence plots. These plots are graphical visualizations of the marginal effect of a given variable (or multiple variables) ... [Read more...]

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