5.2 Choosing appropriate bivariate analysis
Choosing which statistical analyses procedure is appropriate completely depending on the data types of the explanatory and response variable. This is a simplified table, only covering the common/standard types of bivariate analysis.
figure out how to get table here.
For this set of notes, the variable types are referred to using the first letter, e.g. Q for quantitative, B for binary, and C for categorical. Thus a T-test is a (Q \(\sim\) B) analysis, and a correlation analysis is (Q \(\sim\) Q) analysis.
Links to the example data used in this chapter.
load(url("https://norcalbiostat.netlify.com/data/addhealth_clean.Rdata")) <- read.csv("https://norcalbiostat.netlify.com/data/countyComplete.csv", header=TRUE, stringsAsFactors = FALSE)county