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"))
county <- read.csv("https://norcalbiostat.netlify.com/data/countyComplete.csv", header=TRUE, stringsAsFactors = FALSE)

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