Tag: HELP data set

Example 8.23: Expanding latent class model results

In Example 8.21 we described how to fit a latent class model to data from the HELP dataset using SAS and R (using poLCA(), and then followed up in example 8.22 using randomLCA(). In both entries, we classified subjects based on their observed (manifes…

Example 8.22: latent class modeling using randomLCA

In Example 8.21 we described how to fit a latent class model to data from the HELP dataset using SAS and R. Subjects were classified based on their observed (manifest) status on the following variables (on street or in shelter in past 180 days [homele…

Example 8.21: latent class analysis

Latent class analysis is a technique used to classify observations based on patterns of categorical responses. Collins and Lanza’s book,”Latent Class and Latent Transition Analysis,” provides a readable introduction, while the UCLA ATS center has an o…

Example 8.11: violin plots

We’ve continued to get useful feedback and ideas from our posts on the combination dotplot/boxplot and other ways to craft similar displays. Another notion is the violin plot, which combines a boxplot and a (doubled) kernel density plot. While the ba…

Example 8.3: pyramid plots

Pyramid plots are a common way to display the distribution of age groups in a human population. The percentages of people within a given age category are arranged in a barplot, often back to back. Such displays can be used distinguish males vs. femal…